Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
type: channel
description: Innovative: International Multidisciplinary Journal of Applied Technology (IMJAT) with U.S ISSN 2995-486X is a peer-reviewed, open-access scientific journal dedicated to publishing original research and innovative developments across a broad spectrum of applied and technical sciences. With its growing reputation, IMJAT continues to be a valuable platform for academics, researchers, engineers, and industry professionals seeking to publish impactful research that advances applied science and technology on a global scale. We are pleased to announce that IMJAT has been officially recognized by the Higher Attestation Commission (OAK) of the Republic of Uzbekistan for meeting the criteria required for technical sciences publications. As per OAK Decision No. 368/4 dated March 6, 2025, the journal is now listed as a recommended scientific publication for “05.00.00 – Technical Sciences, making it a valid outlet for PhD and DSc researchers to publish their dissertation-related scientific results.
publisher: Multi Journals Press
language: en
publication name: Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
issn: 2995-486X
items: The Influence of Muddy Water Flow in Pipelines on the Operating Efficiency of Pumps and Changes in Hydraulic Parameters
items: Optimization of Operating Modes of Pumping Stations Equipped With Parallel-Operated Centrifugal Pumps
items: Geometric Modeling of Detected Objects in Ultrasound Imaging
items: Numerical Analysis of Nonlinear Oscillations in Viscously Damped Systems with Finite Degrees of Freedom
items: STAGES OF ESTABLISHING A QUALITY MANAGEMENT SYSTEM IN THE CONSTRUCTION MATERIALS INDUSTRY AND MANAGEMENT MECHANISMS
items: REVISITING LOW DOSE RADIOBIOLOGY: MECHANISTIC INSIGHTS AND FUTURE DIRECTIONS
items: Internet of Things in Logistics
items: Big Data in Logistics
items: Mathematical Modeling of The Vertical Launch and Operation of An Aircraft Missile Gyroscope
items: Standardization and Quality Assurance of Non-Autoclaved Aerated Concrete
items: Analysis Of Primary Tillage Plate Harrows
items: THE IMPACT OF ERGONOMIC APPROACHES ON EFFICIENCY IN THE OCCUPATIONAL SAFETY SYSTEM
items: On Semi Strong and Semi Weak Sets in Topological Spaces
items: Analysis of Heat Transfer Dynamics in Biological Tissues During Thermal Therapy and Development of a Three-Dimensional Computational Model for Real-Time Optimization of Thermal Device Parameters
items: Analysis of Lightgbm Model Accuracy and Validation Strategies for Predicting Oil and Gas Probability Maps
items: Anti-Symmetric Vibrations of a Free-Supported Three-Layer Elastic Plate
items: Fractal Analysis Using the Mass-Radius Method
items: Hydraulic Modeling of Vane Pump Parameters
items: Machine Learning Forecasts of Spot Truckload Prices Using Operational Carrier Data: A Comparative Study of XGBoost and Benchmark Models
items: Vision Transformers vs. Convolutional Networks for Colonoscopic Polyp Segmentation: A Systematic Review
items: AN INTEGRATED APPROACH TO CREATING ENVIRONMENTAL SUSTAINABILITY AND A HEALTHY WORKPLACE IN UZBEKISTAN
items: Harmonization of Discrepant Data: A Solution to the Computational Models for Data Collection in the Tertiary Institutions
items: ANALYSIS OF LOCAL WOOL PRODUCTION STATUS AND MAIN PHYSICAL AND MECHANICAL CHARACTERISTICS OF LOCAL WOOL
items: Implementation of Artificial Intelligence Technologies in Accounting and Taxation Based on Expert Assessment Methods
items: Study of the Effects of Ionizing Radiation and Physical Factors on Vegetative Growth and Pest Resistance in Some Plant Species
items: APPLYING PRINCIPLES OF GENERAL PHYSICS TO DESIGN EFFECTIVE STRATEGIES FOR PLANT DISEASE PREVENTION AND ENHANCEMENT OF AGRICULTURAL PRODUCTION
items: Artificial Intelligence in Ecommerce
items: RESEARCH ON THE MANUFACTURING TECHNOLOGY OF SPECIAL FOOTWEAR
items: Artificial Intelligence in Medicine
items: A Unique Method for Concealing Information

The Influence of Muddy Water Flow in Pipelines on the Operating Efficiency of Pumps and Changes in Hydraulic Parameters
type: item
description: The article analyzes the hydraulic and energy-related problems that arise during the pumping of muddy water flows at pumping stations of the Amu Darya and its associated irrigation systems. The influence of sediment particles on flow parameters, specific hydraulic resistance, and pump operating efficiency is theoretically substantiated based on the law of conservation of energy. Formulas for determining head losses for finely and coarsely dispersed muddy mixtures, as well as the concept of critical velocity, are presented. Using a specific example, the head characteristics of a pipeline system under clean water and muddy water conditions are compared, and the increase in electrical energy consumption at a turbidity level of 5% is calculated. The obtained results are of practical significance for selecting optimal operating modes of pumps and reducing energy consumption.
subject: Articles
  topic: section
subject: muddy flow, pumping station, hydraulic resistance, pressure pipeline, head loss, critical velocity, energy consumption, irrigation system
  topic: keywords
creator: Muhammadiyev Muradulla
creator: Juraev Sanjar Rashidovich
creator: Djuraev Qurbon Salixdjanovich
creator: Ismoilov Elyor Doniyorovich
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2026-01-27
publication date: 2026-01-27
starting page: 33
ending page: 39
doi: 10.51699/7kp8fc57

Optimization of Operating Modes of Pumping Stations Equipped With Parallel-Operated Centrifugal Pumps
type: item
description: The article examines the issues of reducing head losses and optimizing electricity consumption in pumping stations operating in parallel pump mode. A method is proposed to increase energy efficiency by reducing the hydraulic resistances of the pipeline system for parallel-operated pumps and selecting the pipe diameter at an economically optimal value. Using the example of three D1600–90 pumps, capital and operational costs were analyzed for various pipe diameters, and optimal options were identified. The calculations show that correct selection of the pipe diameter ensures that the pumps operate within their optimal working range and allows a significant reduction in electricity consumption over the season.
subject: Articles
  topic: section
creator: Urishev Boboraum
creator: Juraev Sanjar Rashidovich
creator: Hayitboev Doston Umidjon o’g’li
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2026-01-24
publication date: 2026-01-24
starting page: 27
ending page: 32
doi: 10.51699/cd5vpj68

Geometric Modeling of Detected Objects in Ultrasound Imaging
type: item
description: Ultrasound imaging is widely used in medical diagnostics due to its safety, real-time capability, and cost-effectiveness. Nonetheless, images produced by ultrasound are prone to speckle noise, low contrast and sharp delimiting boundary thus making it hard to interpret objects accurately. In this study, it is proposed that geometric modeling approach will be used to model objects found in ultrasound images as a result of contour detection and segmentation in ultrasound. The study combines edge based contour extraction and region based segmentation in order to localize anatomical structures, and pathological regions. The identified contours are also used to form three-dimensional and two-dimensional geometric representations of objects in the two- and three-dimensional space respectively. The framework proposed allows more detailed description of the structure, and quantitative analysis of medical images. It is proved by experimental analysis that the contour detection together with the segmentation is beneficial in enhancing both the localization boundaries and the geometric consistency of modeled objects. The methodology has found application in diagnosis, treatment planning and medical image analysis systems which are computer aided. The results highlight the potential of geometric modeling as a tool for enhancing the interpretability of ultrasound data.
subject: Articles
  topic: section
subject: ultrasound imaging
  topic: keywords
subject: geometric modeling
  topic: keywords
subject: contour detection
  topic: keywords
subject: image segmentation
  topic: keywords
subject: medical image analysis
  topic: keywords
subject: edge detection
  topic: keywords
subject: speckle noise reduction
  topic: keywords
subject: 3D reconstruction
  topic: keywords
creator: Shakhlo Sadullaeva
creator: Ural Raimkulov
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2026-01-31
publication date: 2026-01-31
starting page: 19
ending page: 26
doi: 10.51699/z0ed4684

Numerical Analysis of Nonlinear Oscillations in Viscously Damped Systems with Finite Degrees of Freedom
type: item
description: Viscously damped finite degrees of freedom nonlinear oscillators appear in a variety of engineering and physical applications, such as vibration control, structural dynamics, and energy dissipation systems. Indeed, classical linear models can provide useful approximations however they do not capture amplitude responsible behavior, internal resonances or transient responses associated with the nonlinear effects of in any time limited time series data. While earlier works highlighted analytical solutions for simple cases or resonant steady state responses, very few numerical studies have addressed the strongly nonlinear case and multi degree of freedom interactions subject to viscous damping. In response to this dearth of research, this paper provides a systematic framework for numerical analysis of nonlinear oscillatory responses in viscously-damped finite-dimensional systems. The governing nonlinear differential equations are presented and discretized in state space form based on Newtonian mechanics. High order numerical integration schemes are used to carry out time domain simulations, which are followed by phase space analysis, frequency response analysis, and parametric investigations into how much damping coefficients and nonlinear stiffness terms affect dynamic response. We find strong departures from the linear predictions including frequency shifts that depend on amplitude, nonlinear decay rates, and mode coupling that becomes more pronounced with higher levels of nonlinearity and damping. Through numerical experiments, we show how viscous damping is crucial for the stabilization or suppression of complex oscillatory regimes, which also modifies the transient response properties. The results shortly elucidate the interplay within the complex non-linear behaviours of such damped systems, thus contributes significantly towards the design, optimization and control of practical mechanical and structural systems where precise predictions of oscillatory response is…
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Nonlinear oscillations, viscous damping, finite degrees of freedom, numerical simulation, nonlinear dynamics, time domain analysis, phase space analysis, mode coupling, vibration control, structural dynamics
creator: Yusupov M.
creator: Sharipova U.B.
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-28
publication date: 2025-12-28
starting page: 135
ending page: 140
doi: 10.51699/am3vra42

STAGES OF ESTABLISHING A QUALITY MANAGEMENT SYSTEM IN THE CONSTRUCTION MATERIALS INDUSTRY AND MANAGEMENT MECHANISMS
type: item
description: This article comprehensively examines the theoretical foundations of establishing a quality management system in the construction materials industry, the stages of its implementation, and the mechanisms for its management. During the study, they analyze the influence the quality management system exerts on efficiency in production, product quality, and the competitiveness of the enterprises. The results of the analysis show that the gradual introduction of a quality managing system in accordance with the requirements of the ISO 9001 standard helps to ensure stability of product quality, decrease production costs, while increasing customer satisfaction. In addition, the main mechanisms of quality management system governance— including process-based management, a risk-oriented approach, internal audits, corrective and preventive actions, and continuous improvement methods—are scientifically substantiated.
subject: Articles
  topic: section
subject: construction materials industry
  topic: keywords
subject: quality management system
  topic: keywords
subject: ISO 9001 standard
  topic: keywords
subject: product quality
  topic: keywords
subject: production processes
  topic: keywords
subject: quality control
  topic: keywords
subject: internal audit
  topic: keywords
subject: risk-based management
  topic: keywords
subject: defective products
  topic: keywords
subject: economic efficiency
  topic: keywords
subject: competitiveness
  topic: keywords
subject: continuous improvement
  topic: keywords
creator: Achilov Ilmurad Nematovich
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2026-01-15
publication date: 2026-01-15
starting page: 7
ending page: 18
doi: 10.51699/xngwxm71

REVISITING LOW DOSE RADIOBIOLOGY: MECHANISTIC INSIGHTS AND FUTURE DIRECTIONS
type: item
description: Low-dose radiobiology focuses on the biological effects of ionizing radiation at absorbed doses that are less than about 100 mGy or low dose rates (less than 10 mGy/h -1). These exposures are common, and they include the diagnostic imaging, nuclear medicine, radiotherapy scatter, occupational and environmental exposures, radon exposures and space travel. Although widespread, the biological effects of low dose radiation (LDR) have not been fully defined and they persistently troubles the current radiation risk assessment systems. Linear no-threshold (LNT) radiation protection has been the basis upon which radiation protection has depended over decades, wherein a proportional relationship exists between dose and stochastic risk and there exists no safe dose. Despite the fact that LNT has offered a conservative and practical regulatory foundation, increasing experimental and mechanistic information suggests that it is not sufficiently comprehensive of biological responses in the low-dose area. Recent developments in the field of molecular biology, epigenetics, microdosimetry, and systems biology show that LDR can trigger adaptive signaling, non-targeted, and long-lasting epigenetic reprogramming without causing a corresponding DNA damage. The responses tend to be qualitative as opposed to high-dose effects being extended in a linear manner. This is a critical review of the empirical and biological basis of the LNT paradigm against modern mechanistic data, a comparison with currently evolving non-linear dose response models, and epigenetic regulation as the key determinant of low dose effects. Combining historical information with the current experimental and clinical data, we will seek to answer the current controversies, and provide a way forward in terms of biologically informed but pragmatically feasible models of low-dose radiation risk assessment.
subject: Articles
  topic: section
subject: Low-Dose Radiation
  topic: keywords
subject: Radiobiology
  topic: keywords
subject: Linear No-Threshold Model
  topic: keywords
subject: Adaptive Response
  topic: keywords
subject: Epigenetics
  topic: keywords
subject: Radiation Risk Assessment
  topic: keywords
creator: Sajjad Mohammed Salman Jaddah
creator: Mohammad Reza Deevband
creator: Abdullah Abbas Ibadi
rights: Copyright (c) 2026 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2026-01-12
publication date: 2026-01-12
starting page: 1
ending page: 6
doi: 10.51699/eaedxq67

Internet of Things in Logistics
type: item
description: The Internet of things (IoT) refers to the billions of physical devices around the world that are now connected to the Internet, all collecting and sharing data. It is a paradigm where physical objects, devices, and machines are embedded with sensors, software, and network connectivity to collect, exchange, and act upon data. The logistics sector is one of the domains where IoT has emerged as a formidable force, propelling innovation, efficiency, and transformation. IoT in logistics represents the integration of physical devices within the logistics and transportation industry network that communicate and exchange data without human intervention. IoT enables devices like sensors, vehicles, and equipment to connect over the Internet, creating a more dynamic, responsive, and interconnected logistics environment. In this paper, we will dig deep into the applications, benefits, and future trends of IoT in the logistics sector.
subject: Articles
  topic: section
subject: Internet of things
  topic: keywords
subject: IoT
  topic: keywords
subject: industrial Internet of things
  topic: keywords
subject: IIoT
  topic: keywords
subject: logistics
  topic: keywords
subject: transportation
  topic: keywords
subject: supply chain
  topic: keywords
creator: Matthew N. O. Sadiku
creator: Uwakwe C. Chukwu
creator: Janet O. Sadiku
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-27
publication date: 2025-12-27
starting page: 111
ending page: 122
doi: 10.51699/qq2stz81

Big Data in Logistics
type: item
description: The logistics sector involves complex operations that require a high level of precision and efficiency. In recent years, the use of big data has revolutionized the logistics industry, providing companies with valuable insights and analytics that can help improve their operations. Logistics companies generate massive amounts of data daily, including shipment tracking, inventory levels, delivery schedules, and customer feedback. In logistics, big data analytics involves leveraging extensive and complex data sets to derive insights, make informed decisions, and enhance transportation processes. The goal is to extract valuable information and patterns from this data to improve operational efficiency, reduce costs, enhance customer service, and enable strategic decisions. The impact of big data on logistics is hard to overestimate. This paper will discuss the role of big data analytics in the logistics sector.
subject: Articles
  topic: section
subject: big data
  topic: keywords
subject: big data analytics
  topic: keywords
subject: big data applications
  topic: keywords
subject: logistics
  topic: keywords
subject: supply chain
  topic: keywords
subject: transportation
  topic: keywords
creator: Matthew N. O. Sadiku
creator: Uwakwe C. Chukwu
creator: Janet O. Sadiku
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-27
publication date: 2025-12-27
starting page: 96
ending page: 110
doi: 10.51699/g4yvks28

Mathematical Modeling of The Vertical Launch and Operation of An Aircraft Missile Gyroscope
type: item
description: The vertical launch system has been widely adopted to land- and sea-based guided missile systems, because of its excellent operation flexibility, quick response capability and effective utilization of the space volume over the deck. In this paper the advantages and technical characteristics of the vertical missile launch systems are presented and it is analyzed a process of inclination (turning) with respect to a missile necessary for an entrance in guidance trajectory. Special emphasis is placed on the role of the gyroscopic control in maintaining stable angle motion during important phases of flight initiation. A mathematical model is developed for the motion of a guided missile that takes place between vertical launch and turn on torque. The model considers the forces and moments acting on a missile control system, control forces generated by impulse thrusters, inertia conditions, mass change as a result of fuel depletion and location of points of application. In addition, the angular response of a three directional gyroscope subjected to fixed and linearly moving bases is mathematically represented with generalized coordinates. The derived equations include extra damping and restoring moment due to aerodynamic pressure, gravitational effect of the ground terrain, and external disturbances. Both correctable and uncorrectable gyro spin configurations are examined, so that the model may be used over the full envelope of missile guidance platforms. The formulated identifiability conditions establish a solid foundation for the structure design, which can be incorporated in authors’ future research on intelligent missile control system algorithms to promote guidance accuracy, stability and survivability in the stages of vertical launch and initial maneuvering.
subject: Articles
  topic: section
subject: missile
  topic: keywords
subject: flight
  topic: keywords
subject: vertical launch
  topic: keywords
subject: angular rotation
  topic: keywords
creator: Farkhod Matkurbonovich Matmurodov
creator: Kamol Qaxramonovich Toshtemirov
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-24
publication date: 2025-12-24
starting page: 91
ending page: 95
doi: 10.51699/dj7bex24

Standardization and Quality Assurance of Non-Autoclaved Aerated Concrete
type: item
description: Standardization and the Improvement of Non autoclaved Aerated Concrete Quality in Modern Construction: A Review In the introduction, the authors explain that conditions of large-scale production of construction units, coupled with regulatory reforms in the field of building materials, have made great demands on the production of lightweight, cost effective, and energy efficient materials. In long-lasting experience with aerated concrete, this gap of knowledge had been settled but not on the basis of an applied methodology standardised in regard to the use of chemical additives, mainly carboxymethyl cellulose, as well as for their effects on physical-mechanical properties in non autoclaved production systems. It uses a blended study design, one of experimental and regulatory based. Concrete compositions were made from Portland cement, sand, aluminum powder, and a three-percent aqueous solution of carboxymethyl cellulose. Sample preparation, curing, and testing procedures were performed following related GOST standards to determine their density, compressive strength, contents of moisture as well as structural properties. A comparative study of conventional composition and modified composition mixtures. The results confirm that carboxymethyl cellulose can be used as an additive to enhance pore uniformity, pore structure strength development characteristics and overall stability of the material. The results verify that, among different additive concentrations, three percent provides the optimal performance, which results in a higher concrete grade, better density control, and higher thermal efficiency without need for autoclaving. The final results clarify that the controlled application of carboxymethyl cellulose in the production of non-autoclaved aerated concrete delivers both practical and economic advantages. Such results are significant in relation to sustainable construction practices, regulatory compliance, and development of lightweight readily applicable buil…
subject: Articles
  topic: section
subject: Standardization
  topic: keywords
subject: Advantages of standardization of building materials
  topic: keywords
subject: CMC (Carboxymethylcellulose) GOST 25845-89
  topic: keywords
creator: Pulatova D.G
creator: Akhundzhanov. K.A. Akhundjanov
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-22
publication date: 2025-12-22
starting page: 84
ending page: 90
doi: 10.51699/scr8zh12

Analysis Of Primary Tillage Plate Harrows
type: item
description: Considering that the world's primary tillage area is 4.2 billion hectares, the development of high-quality, energy-efficient and resource-efficient soil tillage machines and tools is one of the important tasks. This article analyzes mechanical vibrations, their use in primary tillage, active and passive oscillating working bodies, soil tillage technical means with oscillating working bodies, and the impact of oscillating plate tines on the traction resistance of the plow and the quality of work.
subject: Articles
  topic: section
subject: soil
  topic: keywords
subject: plowing
  topic: keywords
subject: plowshare
  topic: keywords
subject: harrow
  topic: keywords
subject: body
  topic: keywords
subject: soil blade
  topic: keywords
subject: aggregate
  topic: keywords
subject: plate
  topic: keywords
subject: plow
  topic: keywords
subject: working body
  topic: keywords
subject: drag resistance
  topic: keywords
subject: soil compaction level
  topic: keywords
subject: fuel
  topic: keywords
subject: energy
  topic: keywords
creator: Ravshanov Hamrakul Amirkulovich
creator: Zahirov Bobomurod Bobonazarovich
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-22
publication date: 2025-12-22
starting page: 76
ending page: 83
doi: 10.51699/qddy9j67

THE IMPACT OF ERGONOMIC APPROACHES ON EFFICIENCY IN THE OCCUPATIONAL SAFETY SYSTEM
type: item
description: The paper analyzes inventive approaches of ergonomics in improving occupational safety and labor productivity in the system of providing occupational safety. The impact of ergonomic working conditions on occupational risk of injury and illness, work fatigue, and performance measures are evaluated using theoretical as well as applied research. Features of assessment of ergonomic conditions are offered and the statistical processing of results of realization of the offers is carried out. The results revealed that the inclusion of ergonomics in the occupational safety system can contribute to a considerable increase in labor safety and work productivity.
subject: Articles
  topic: section
subject: ergonomics
  topic: keywords
subject: occupational safety
  topic: keywords
subject: human factor
  topic: keywords
subject: labor productivity
  topic: keywords
subject: occupational risks
  topic: keywords
creator: Razzokov Xabib Xolikovich
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-20
publication date: 2025-12-20
starting page: 76
ending page: 81
doi: 10.51699/y32vzf18

On Semi Strong and Semi Weak Sets in Topological Spaces
type: item
description: We invest.igate the conc.ept of semi-.strong (s-s.trong) and semi.-weak (s-.weak) sets in topolo.gical spa.ces. We beg.in by giv.ing defini.tions, some exam.ples and fundam.ental characte.ristics for the two sor.ts of sets. The two sets are contr.asted, and the.ir lin.ks are descr.ibed and stud.ied. In addi.tion, a cla.ss of funct.ions usi.ng semi str.ong and semi weak sets has been discov.ered in topological spa.ces. Additi.onally, s-st.rong and s-w.eak sets are indepe.ndent and can.not ever be compa.rable.
subject: Articles
  topic: section
subject: s-mini.mal semi-open sets
  topic: keywords
subject: maximal semi-clo
  topic: keywords
subject: sed sets
  topic: keywords
subject: s-str.ong sets
  topic: keywords
subject: s-weak sets
  topic: keywords
creator: Oth man Rha if Madl ool Al-Ch.arani
creator: Qasim Hadi Heddam
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-22
publication date: 2025-12-22
starting page: 123
ending page: 134
doi: 10.51699/bb6xeb35

Analysis of Heat Transfer Dynamics in Biological Tissues During Thermal Therapy and Development of a Three-Dimensional Computational Model for Real-Time Optimization of Thermal Device Parameters
type: item
description: Thermal therapies namely, thermal ablation, hyperthermia, and laser play an important role in the treatment of various medical conditions especially, malignancies focusing on tumor/tumor-like tissues. These therapies require careful temperature control to ensure effective treatment while avoiding damage to adjacent healthy tissue. Optimisation of thermal therapies requires accurate bioheat transfer modelling of soft biological tissues. Heat transfer in soft tissues is dictated by thermal conduction as well as by perfusion and metabolic processes, therefore, a reliable thermal model is crucial for a successful treatment outcome. Although substantial contributions also exist for modeling heat propagation in biological tissues, it is still difficult to optimize parameters of thermal therapies in real time, especially for heterogeneous tissue behavior and surrounding heterogeneous environments during the treatment. This study is based on the development of a novel three-dimensional computational model for predicting heat transfer dynamics in biological tissues during thermal therapeutic processes, which can help optimize thermal device parameters to achieve better treatment responses in real time. A three-dimensional bioheat transfer model was created and compared to experimental temperature distributions under various thermal therapy conditions, comparing them with a high degree of accuracy. The model could reproduce the thermal response of tissues during microwave ablation and laser therapy. Their model includes online optimization algorithms to provide the clinician with a means to adjust the parameters of a thermal device to account for changing tissue responses to stay within safe and effective bounds. Our model serves as a strong basis to optimize thermal therapies, which will benefit patients by increasing the accuracy of heating delivery and reducing collateral effect on the adjacent healthy tissues.
subject: Articles
  topic: section
subject: bioheat transfer
  topic: keywords
subject: thermal therapy
  topic: keywords
subject: computational modeling
  topic: keywords
subject: real-time optimization
  topic: keywords
subject: tissue temperature
  topic: keywords
subject: thermal ablation
  topic: keywords
subject: hyperthermia
  topic: keywords
subject: laser treatment
  topic: keywords
creator: Hamad Khaleel Ibrahim Toukan
creator: Hijran Jasim Mohammed
creator: Karrar Riyadh Alwan Jabr
creator: Humam Alaa Mahdi Abo Galub
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-19
publication date: 2025-12-19
starting page: 64
ending page: 75
doi: 10.51699/36q6gw16

Analysis of Lightgbm Model Accuracy and Validation Strategies for Predicting Oil and Gas Probability Maps
type: item
description: The accuracy of the LightGBM model in forecasting oil and gas probability maps had been evaluated based on MapOil analytic system. Integration of geological, geophysical, satellite and topographic map datasets in single spatial processing pipeline through MapOil streamline feature extraction, and probability assessment for each grid cell over exploration areas. The leaf-wise growth and advanced gradient boosting optimization criteria of LightGBM are capable of capturing the complex nonlinear relationships associated with subsurface properties. Differences among the various validation strategies are also examined to compare the robustness of predictions. Standard random cross-validation along with spatially informed cross-validation approaches, such as block and region-based validation, were utilized. Validation in space results in reduced information leakage and more realistic performance statistics, leading to a more informative generalisation of the model on untested areas. In summary, the application of LightGBM in combination with MapOil platform forms a powerful methodology for creating high-precision oil and gas probability maps which are able to improve the data driven decision making for hydrocarbon exploration.
subject: Articles
  topic: section
subject: LightGBM
  topic: keywords
subject: oil and gas probability mapping
  topic: keywords
subject: spatial validation
  topic: keywords
subject: hydrocarbon exploration
  topic: keywords
subject: mapoil system
  topic: keywords
subject: gradient boosting
  topic: keywords
subject: geological data analysis
  topic: keywords
subject: machine learning models
  topic: keywords
subject: spatial prediction
  topic: keywords
subject: geoscience informatics
  topic: keywords
creator: Markhabo Shukurova
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-12
publication date: 2025-12-12
starting page: 56
ending page: 63
doi: 10.51699/qxnfgq14

Anti-Symmetric Vibrations of a Free-Supported Three-Layer Elastic Plate
type: item
description: In the study, the head parts of the slopes of the selected three-tiered elastic plate are selected as search functions. Thus, a system of fifth order differential equations, which can be used to solve practical problems, has been created and mathematical operations are performed, and this system of equations can be eliminated by the Maple 12 program, which can occur in three-dimensional plate positions and tension graphs.
subject: Articles
  topic: section
subject: boundary conditions
  topic: keywords
subject: three-layer plate
  topic: keywords
subject: displacement,wave equations
  topic: keywords
creator: Sherzod Yakhshboyev
creator: Nilufar Shodmonkulova
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-08
publication date: 2025-11-08
starting page: 49
ending page: 55
doi: 10.51699/tggmj615

Fractal Analysis Using the Mass-Radius Method
type: item
description: Biological images often contain structural formations, especially those derived from neural tissues. It is known that neurons are divided into several types, but distinguishing these types remains a constant problem. The main feature of the fractal dimension is proposed in this article. The possibilities of performing fractal analysis using the mass-radius method are investigated below. The obtained results were analyzed based on the mass-radius method. In addition, the article presents the capabilities and characteristics of the software tool designed for calculating the mass-radius method.
subject: Articles
  topic: section
subject: fractal analysis
  topic: keywords
subject: complex structures
  topic: keywords
subject: mass-radius method
  topic: keywords
creator: Sh.A.Anarova
creator: D.N. Boliyeva
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-08
publication date: 2025-11-08
starting page: 43
ending page: 48
doi: 10.51699/w1yh6v09

Hydraulic Modeling of Vane Pump Parameters
type: item
description: An analysis of previous studies shows that performance optimization issues in three-dimensional impellers of vane pumps have been insufficiently explored. In a meridional plane, the vanes rotate from an axial to a radial direction in three dimensions. However, the flow studies are primarily limited to those near the impeller inlet and outlet. The goal of these studies is to improve the pump flow path to reduce impeller cavitation wear and improve operating parameters. The data obtained in the study were statistically processed, and based on them, pump design options with optimal parameters can be developed. The article presents key recommendations for studying transient processes using OPV and V-type pump units with an impeller diameter of Dr = 250 mm. The influence of cavitation on the pressure pulsation pattern was determined. Software studies were used to determine the compatibility of impeller modes, which are designed using formulas for high- and low-pressure zones, thereby increasing pump efficiency by 3-5%.
subject: Articles
  topic: section
subject: pumping units
  topic: keywords
subject: optimal parameters
  topic: keywords
subject: pressure,
  topic: keywords
subject: flow path
  topic: keywords
subject: impeller
  topic: keywords
subject: blade
  topic: keywords
subject: cavitation
  topic: keywords
creator: B.Khamdamov
creator: R.K.Dusmatov
creator: A.B.Saparov
creator: N.R.Nasyrova
creator: G.S.Azizova
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-08
publication date: 2025-12-08
starting page: 36
ending page: 42
doi: 10.51699/fd090m85

Machine Learning Forecasts of Spot Truckload Prices Using Operational Carrier Data: A Comparative Study of XGBoost and Benchmark Models
type: item
description: This article creates and assesses a supervX`ised machine learning model in order to forecast spot truckload rates at the shipment level, this paper. We create a feature set with lane information, shipment date, distance, and cargo weight using operational data from carriers for 2022–2024. The target is defined as freight cost in USD per load and rate per mile. A global mean model, a lane mean model, multiple linear regression, random forest, and an XGBoost ensemble are the five methods we benchmark after formulating the problem as a regression task.
subject: Articles
  topic: section
creator: Nodir Rahmatilloevich Rabimov
creator: Akmal Rustamovich Akharov
creator: Fayzullo Makhmadiyarovich Nazarov
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-08
publication date: 2025-11-08
starting page: 24
ending page: 35
doi: 10.51699/rdsf2d55

Vision Transformers vs. Convolutional Networks for Colonoscopic Polyp Segmentation: A Systematic Review
type: item
description: Colorectal cancer (CRC) is the second most common cause of cancer-related death in the world, and early detection of adenomatous polyps with colonoscopy is important because it can prevent CRC. Nonetheless, traditional colonoscopy is still operator-dependent and with lesion-miss rates of up to 25% for small or flat lesions. Over the past decade, automated polyp detection and segmentation have come a long way with deep learning. CNNs like U-Net, UNet++ and ResUNet++ set strong baselines, however their low receptive field bound hindered generalization. More recently, vision transformers (ViTs) and hybrid CNN–transformer architectures have achieved state-of-the-art results by modeling long-range dependencies and incorporating global context. This systematic review examines more than 50 studies as the representative one available between 2015 and 2025, with specific attention to the results on Kvasir-SEG, CVC-ClinicDB, and ETIS-Larib benchmarks. Experiments demonstrate that while NFL-CNNs reach Dice scores of 0.85–0.90 on easier datasets, ViTs and hybrids almost always outperform motors, with the best models reaching 0.94 (NA-SegFormer) on Kvasir-SEG and 0.81 over ETIS. Our results illustrate the disruptive nature of attention-based approaches, closer to what was desired by clinical colleagues, and signal some of the stubborn open challenges relating to dataset availability, practical computational cost and high-quality clinical evidence. Advances in the future will likely center around the development of lightweight understandable and generalisable AI systems designed to provide real-time, clinically reliable polyp detection.
subject: Articles
  topic: section
subject: vision transformers
  topic: keywords
subject: convolutional neural networks
  topic: keywords
subject: polyp detection
  topic: keywords
subject: colonoscopy
  topic: keywords
subject: medical image segmentation
  topic: keywords
subject: deep learning
  topic: keywords
subject: endoscopy
  topic: keywords
creator: Lobar Badalova Burhonovna
creator: Yusupov Ozod Rabbimovich
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-05
publication date: 2025-12-05
starting page: 7
ending page: 23
doi: 10.51699/j5tb2v47

AN INTEGRATED APPROACH TO CREATING ENVIRONMENTAL SUSTAINABILITY AND A HEALTHY WORKPLACE IN UZBEKISTAN
type: item
description: The research investigates the role of an integrated approach in promoting environmental sustainability and ensuring healthy working conditions within the industrial sectors of Uzbekistan. While legislation at the national level and international standards (including ISO 14001 and ISO 45001) encourage safer and greener production, a review of the available literature reveals limited analytical attention to how they can be applied together in the workplace. The study considers air quality, noise map, climatological conditions and waste treatments in typical enterprises by application of environmental monitoring, hygienic assessment and risk-analysis methods. While, findings show, general air pollution in Uzbekistan has slightly decreased in recent years, some industrial areas frequently violate recommended limits for particulate matter and emissions, continuing to pose dangers to the health of workers. The outcomes also show that environmental safety indices in particular areas are beneath the customary 0.7 with the need of stricter hygienic controls and present-day technologies. The study concludes that if ecological management systems, occupational hygiene, and safety systems are integrated well it may lead to better workplace well-paying and it may cause operational efficiency. It will also encourage the promotion of real-time monitoring, energy-saving technologies and alignment of national standards with international best practices towards the sustainable industrial development of Uzbekistan.
subject: Articles
  topic: section
subject: occupational hygiene
  topic: keywords
subject: industrial sanitation,
  topic: keywords
subject: integrated approach, labor protection, ISO 14001, ISO 45001, Republic of Uzbekistan.
  topic: keywords
creator: Khabib Kholiqovich Razzokov
creator: Ashurov Islomiddin
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-30
publication date: 2025-11-30
starting page: 107
ending page: 112
doi: 10.51699/gmvn3415

Harmonization of Discrepant Data: A Solution to the Computational Models for Data Collection in the Tertiary Institutions
type: item
description: Data visualization, interoperability, analysis, and business decisions face a significant challenge as a result of the growing volumes of heterogeneous data being produced by agencies and institutions in the education sector. Stakeholders in the education sector should implement Harmonization of Heterogeneous Data-set as a critical solution. The legacy data that is analyzed and is intended to be used in decision support systems and analytical applications is imported from various data sources with different data types and database architectures and structures. All of these data need to be harmonized for the intended business solutions and growth. Therefore, the Support Vector Machine (SVM) algorithm for Heterogeneous Data Harmonization technique has emerged as the most effective method for creating high-quality data intended to enhance the governance and usefulness of its purpose across the enterprise. The goal of the research was to create and refine a support vector machine-based heterogeneous data harmonization solution for enterprise databases. A data harmonization technique was developed with the integration of harmonization tools using a support machine learning algorithm, and the work was implemented using the Java Script (JS) development environment. The study looked at existing data production techniques on various active databases. To accomplish its goals, this work used the Rapid Application Development (RAD) system methodology. The system's AI machines were tested and trained using both structured and unstructured data imported from Microsoft Excel applications, thanks to the Supervised Machine Learning procedures. There were 10,990 different data sets that were used for training and testing. Testing was conducted on 8,393 (70%) datasets, while 2,597 (30%) were used for training. The outcomes demonstrate that the system was successful in redefining the data headers and column dimensions as a means of coordinating the pull of data imported into the system…
subject: Articles
  topic: section
subject: Data Harmonization
  topic: keywords
subject: Analytics
  topic: keywords
subject: Visualization
  topic: keywords
subject: Dashboard Systems
  topic: keywords
subject: Platform
  topic: keywords
subject: Interoperability
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Algorithms
  topic: keywords
creator: Aburuotu, E. C.
creator: Nathaniel A. O.
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-26
publication date: 2025-11-26
starting page: 90
ending page: 106
doi: 10.51699/1ndcxz69

ANALYSIS OF LOCAL WOOL PRODUCTION STATUS AND MAIN PHYSICAL AND MECHANICAL CHARACTERISTICS OF LOCAL WOOL
type: item
description: The increasing need for natural textile fibers has reignited interest in wool production in the Republic of Uzbekistan, where today, Karakul, Jaidari, Hisar and Edilbay sheep are the main sources of raw wool. These breeds and their origin and distribution have been well documented, though there are few data on the physico-mechanical properties of their fibre effective factors including the environmental and processing factors to wool quality. This work fills this gap by investigating local wool post primary processing with respect to structure, dimensions, contaminant levels and technological performance. In spring and autumn, wool samples were taken from Karakul and Jaidari sheep and investigated under controlled conditions of shearing, moisture, drying and sorting. Results reveal significant differences of plant residues, mineral impurities and oil-sweat among breeds and over seasons. They showed that the total waste in spring wool was about 19–20%, with higher levels of mineral impurities in Jaidari wool (coarser structure of wool) and higher content of plant residues in Karakul wool (a larger content of fine tivit fibers). Contamination was generally lower during autumn shearing. The implication is that wool cleanness and yield are dramatically influenced by breed characteristics, feeding conditions and the timing of shearing. Findings emphasize the need to adopt optimized shearing schedules; finer sorting and combing technologies; and more efficient breeding management practices to maximize the clean, high-quality wool yield for textiles in Uzbekistan.
subject: Articles
  topic: section
subject: Endemic Sheep
  topic: keywords
subject: Karakol
  topic: keywords
subject: Twisting
  topic: keywords
subject: Dead Fiber
  topic: keywords
subject: Intermediate Fiber
  topic: keywords
subject: Pesiga
  topic: keywords
subject: Fuzz
  topic: keywords
subject: Shearing
  topic: keywords
subject: Plant Residues
  topic: keywords
subject: Mineral Residues
  topic: keywords
creator: Nosirov Muxammadali Ismoiljon o‘g‘li
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-12-02
publication date: 2025-12-02
starting page: 1
ending page: 6
doi: 10.51699/gtns0x21

Implementation of Artificial Intelligence Technologies in Accounting and Taxation Based on Expert Assessment Methods
type: item
description: This study focuses on the analysis of artificial intelligence (AI) applications in accounting and taxation, based on expert evaluations. A review of scientific literature has been conducted to explore the nature of artificial intelligence and to identify its core functions in this domain. Illustrative examples include software solutions such as Robotic Process Automation (RPA), RobBee accounting robots, and the DavrOn virtual assistant. The findings demonstrate that the adoption of AI and robotic technologies substantially contributes to the modernization of accounting practices and tax administration.
subject: Articles
  topic: section
subject: Implementation
  topic: keywords
subject: Artificial Intelligence
  topic: keywords
subject: Technologies
  topic: keywords
subject: Assessment Methods
  topic: keywords
creator: Salohiddin Salomovich Achilov
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-20
publication date: 2025-11-20
starting page: 90
ending page: 98
doi: 10.51699/fqjg2t18

Study of the Effects of Ionizing Radiation and Physical Factors on Vegetative Growth and Pest Resistance in Some Plant Species
type: item
description: Ionising radiation and other physical factors have a strong impact on vegetative growth and pest resistance in various plant species. This influences agriculture and ecosystem management by determining the suitability of species for contaminated areas, space missions and development under suboptimal and variable conditions. Ionising radiation from radioactive materials, nuclear accidents, cosmic rays and material processing induces morphological, physiological and biochemical changes, establishing the tolerance window of a species. However, constraints prevent reliable extrapolation across conditions or rigorous evaluation of plant behaviour under combinations of gamma and X-rays. This determines the extent of irradiation during transport missions and defines 'safe' exposure in sensitive environments. Studies are being conducted to investigate growth and pest resistance under mono- and multiple-factor treatments in three species exposed to different physical parameters and specific doses of gamma and X-rays. Experimental specifications focus on controllable, pseudo-exhaustive factors within a 100-day timeframe. Treatments encompass several combinations of variables for each plant, producing a diverse dataset that can include non-irrigation factors in statistical models and establish standardised analytical protocols according to sample origin. Ionising radiation and other physical factors can have a significant impact on the vegetative growth and pest resistance of various plant species. This influences agriculture and ecosystem management by determining the suitability of species for contaminated areas, space missions and development under suboptimal and variable conditions. Ionising radiation from radioactive materials, nuclear accidents, cosmic rays and material processing induces morphological, physiological and biochemical changes, establishing the tolerance window of a species. However, constraints prevent reliable extrapolation across conditions or rigorous e…
subject: Articles
  topic: section
subject: Ionising radiation
  topic: keywords
subject: X-rays
  topic: keywords
subject: ultraviolet radiation
  topic: keywords
subject: vegetative development
  topic: keywords
subject: pest resistance
  topic: keywords
subject: physiological response
  topic: keywords
subject: biochemical changes
  topic: keywords
subject: morphological alterations
  topic: keywords
subject: space radioecology
  topic: keywords
subject: multi-factor treatments
  topic: keywords
creator: Ali Abdalhussein Abdalaa Twigg
creator: Huda Muhammad Ail Abed Madi
creator: Sarah Ali Talib Ataya
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-20
publication date: 2025-11-20
starting page: 79
ending page: 89
doi: 10.51699/gq79h269

APPLYING PRINCIPLES OF GENERAL PHYSICS TO DESIGN EFFECTIVE STRATEGIES FOR PLANT DISEASE PREVENTION AND ENHANCEMENT OF AGRICULTURAL PRODUCTION
type: item
description: The significant impact of ionizing radiation and physical factors on vegetative growth and pest resistance of various plant species underlies the development of their ability to exist and grow in contaminated areas, space conditions and unfavourable agricultural environment. Exposure to radiation from cosmic rays, nuclear accidents, or radioactive substrates causes the morphological, physiological, and biochemical changes that shapes species-specific tolerance windows, but previous studies failed to reliably extrapolate radiations and physical conditions such as temperature, humidity, and light. While radiation effects are well documented, the combined influence of multiple physical factors with γ- and X-ray exposures, and their role in growth–defense trade-offs across species with different architectural and physiological traits have not been well characterized. This research examines vegetative development, morphological and anatomical responses, photosynthetic performance and pests naturally occurring at the most susceptible entities of the targeted plant species under controlled doses of ionizing radiation coupled with modulated physical factors, such as mechanical stress and soil differences. Results show variable effects on biomass accumulation or suppression depending on the tested species, as well as structural alterations of stems and leaves, induced efficiency of chlorophyll, radiation-triggered defensive pathways leading to secondary metabolites production and pest pressure reduction. Evidence of growth defense trade-offs, with some species increasing resistance but at the cost of reduced vegetative growth. This study systematically integrates the effects of radiation and other abiotic components of the environment–showing how combined effects of abiotic inputs alter growth trajectories, resistance traits, as well as patterns of physiological allocation. These findings provide a basis for enhancing crop resilience, pest-management strategies, and the pote…
subject: Articles
  topic: section
subject: Ionizing Radiation
  topic: keywords
subject: Vegetative Growth
  topic: keywords
subject: Pest Resistance
  topic: keywords
subject: Gamma Rays
  topic: keywords
subject: X-Rays
  topic: keywords
subject: Physical Factors
  topic: keywords
subject: Mechanical Stress
  topic: keywords
subject: Soil Properties
  topic: keywords
subject: Photosynthetic Efficiency
  topic: keywords
subject: Growth–Defense Trade-Off
  topic: keywords
creator: Ali Abdalhussein Abdalaa Twigg
creator: Huda Muhammad Ail Abed Madi
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-19
publication date: 2025-11-19
starting page: 68
ending page: 78
doi: 10.51699/9ke5yw90

Artificial Intelligence in Ecommerce
type: item
description: Artificial intelligence (AI) is a collection of various technologies and algorithms built to minimize human intervention and maximize results, saving time for businesses and customers. It is transforming ecommerce by enhancing customer experiences and optimizing business operations through data analysis, automation, and personalization. It is making an enormous impact on ecommerce businesses. It personalizes the shopping experience through dynamic recommendations and AI-powered chatbots, automates operations like customer service and supply chain management, and improves marketing with advanced customer segmentation and content generation. AI in ecommerce has revolutionized the industry, providing powerful tools to enhance customer experiences, streamline operations, and tackle various challenges. The significance of AI integration with ecommerce sites cannot be understated. This paper explores some of the essential AI tools transforming ecommerce.
subject: Articles
  topic: section
subject: artificial intelligence
  topic: keywords
creator: Matthew N. O. Sadiku
creator: Uwakwe C. Chukwu
creator: Janet O. Sadiku
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-14
publication date: 2025-11-14
starting page: 59
ending page: 67
doi: 10.51699/qrfjhd04

RESEARCH ON THE MANUFACTURING TECHNOLOGY OF SPECIAL FOOTWEAR
type: item
description: In sectors such as medical, military, and industrial where the working environment is dangerous, special footwear is crucial to maintaining safety and comfort. With evolving industries, the need for specialized footwear to protect from mechanical, thermal, chemical, and electrical risks are on the rise. Integration of modern technologies in production methods such as CAD, 3D modeling, and smart Quality Control has become imperative. While considerable knowledge exists regarding special footwear technologies in developed economies, less attention has been drawn to the upgrading of production methods in transitional areas such as Central Asia. The purpose of this oeuvre is to study the technological processes that are used in the manufacturing of special shoes, and estimating the affect that modern interfacing, guidelines of ergonomic frameworks and the producing process have on their restoration. Use of materials such as polyurethane and thermoplastic polyurethane with improved ergonomic designs for better comfort and reduced fatigue among users are identified. The other highlights automation technologies for manufacturing, as well as conservation practices, integration of ag products and production technologies. This research expands the existing literature on sustainable and ergonomic manufacturing technology for special footwear, and the data generated would be valuable for Uzbekistan, located in Central Asia, and one of the countries in the region, having its textile and light industry sector to benefit from it. These results have implications on improving the international competitiveness of the special footwear sector through innovation in safety, comfort, and environmental sustainability, while serving as a model for the technological modernization in developing areas.
subject: Articles
  topic: section
subject: special footwear
  topic: keywords
subject: production technology
  topic: keywords
subject: ergonomics
  topic: keywords
subject: safety
  topic: keywords
subject: quality control
  topic: keywords
subject: innovation
  topic: keywords
creator: Jononova Shakhzoda Fozil kizi
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-12
publication date: 2025-11-12
starting page: 53
ending page: 58
doi: 10.51699/tvs59e81

Artificial Intelligence in Medicine
type: item
description: Artificial intelligence (AI) refers to the use of computers and technology to simulate intelligent behavior and critical thinking comparable to a human being. It is an interdisciplinary field that integrates computer science, mathematics, and related disciplines to create algorithms that can perform tasks conventionally restricted to human intelligence. It has the potential to transform healthcare and disrupt the field of medicine in significant ways. AI technologies such as machine learning, natural language processing, and robotics can help improve healthcare by enhancing medical services and research efficiency. Artificial intelligence techniques have the potential to be applied in almost every field of medicine. They have the potential to transform medicine. In this paper, you will explore the transformative impact of artificial intelligence on medicine.
subject: Articles
  topic: section
subject: artificial intelligence
  topic: keywords
subject: machine learning
  topic: keywords
subject: AI
  topic: keywords
subject: generative AI
  topic: keywords
subject: medicine
  topic: keywords
subject: healthcare
  topic: keywords
creator: Matthew N. O. Sadiku
creator: Uwakwe C.
creator: Janet O. Sadiku
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-11-08
publication date: 2025-11-08
starting page: 41
ending page: 52
doi: 10.51699/8qv5cq32

A Unique Method for Concealing Information
type: item
description: The subject of steganography is the means and methods that ensure the concealment of the fact of message transmission. The historical roots of this discipline are very deep. With the development of technology, the methods have also changed. If previously invisible ink was used between the lines of ordinary text, then modern digital steganography consists of embedding data in digital objects with minimal distortion. This is possible due to the use of the redundancy of the container data or the peculiarities of human perception, which is unable to notice these changes. In light of the widespread use of text documents in organizational activities, methods of hiding data in a text container, in particular, in MS Word documents, are becoming especially relevant. Based on this, an MS Word document is considered as an information carrier here. MS Word documents have different parameters, by changing these parameters or properties, it is possible to achieve data embedding. In this article, we present steganography using invisible Unicode characters of the Space type, but with different encoding. /2
subject: Articles
  topic: section
subject: Information hiding
  topic: keywords
subject: Steganography
  topic: keywords
subject: Unicode
  topic: keywords
subject: MS Word
  topic: keywords
creator: Zaynalov N.R.
creator: Safarov R.A.
creator: Vafayev M.A.
creator: Shakarov A.A.
creator: Saidmurodov M.A.
creator: Sharipova U.B.
creator: Nishonova M.Q.
rights: Copyright (c) 2025 Innovative: International Multidisciplinary Journal of Applied Technology (2995-486X)
date: 2025-10-25
publication date: 2025-10-25
starting page: 133
ending page: 143
doi: 10.51699/rpw0m020