By the decision of the Council of the Higher Attestation Commission of the Republic of Uzbekistan, the journal “Innovative Technologies” is included in the list of scientific publications recommended for the publication of the main scientific results of doctoral dissertations in the following fields of science: 04.00.00 - GEOLOGICAL AND MINERALOGICAL SCIENCES 05.00.00 - TECHNICAL SCIENCES 06.00.00 - AGRICULTURAL SCIENCES 08.00.00 - ECONOMIC SCIENCES In 2023, the journal “Innovative Technologies” is included in the RSCI database of the integrated scientific information portal eLIBRARY.RU ISSN: 2181-4732
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ASSESSING THE IMPACT OF GREEN ECONOMY, DIGITAL TRANSFORMATION, AND INCLUSIVE GROWTH FACTORS ON REGIONAL SUSTAINABLE DEVELOPMENT BASED ON INTEGRATED ECONOMETRIC MODELING
Sustainable regional economic growth is a complex multi-factor process that requires an in-depth analysis of the causal relationships among economic indicators. This study evaluates the impact of meso-level indicators such as investment flows, industrial output, employment, export–import volumes, inflation, and digital economy indicators on economic growth using ARDL, VAR, and VECM models. Under Uzbekistan’s “Green Economy” and “Digital Transformation – 2030” strategies, mathematical modeling of regional economic growth plays a crucial role in shaping government policy. The results highlight the short-term and long-term determinants of economic growth, the degree of sensitivity to shocks, and opportunities to enhance the effectiveness of economic decision-making.
Copyright (c) 2026 Turdiyev U. Q. (Muallif) https://creativecommons.org/licenses/by/4.0
INNOVATIVE EXTRACTION TECHNOLOGY FOR OBTAINING A BIOACTIVE SUPPLEMENT FROM POMEGRANATE PEEL
This study investigates the technology for obtaining a bioactive supplement from pomegranate peel (Punica granatum L.), a widely cultivated fruit in the climatic conditions of Uzbekistan. To maximize the extraction of polyphenols, ellagic acid, tannins, and other bioactive compounds, traditional hydroalcoholic extraction, ultrasonic extraction (UAE), and microwave-assisted extraction (MAE) were compared. The antioxidant activity of the extracts was evaluated using DPPH, FRAP, and ABTS assays. Drying methods – spray drying and freeze-drying – were assessed for their effectiveness in preserving bioactivity. Overall, the findings have practical significance for optimizing the production of high-value bioactive supplements derived from pomegranate peel.
Copyright (c) 2026 Mirzayeva D. A., Safoxonova A. N., Sagdiyev X. T. (Muallif) https://creativecommons.org/licenses/by/4.0
EVALUATION AND RATING OF UNCERTAINTY OF FACTORS AFFECTING THE MEASUREMENT RESULTS IN THE GPS SYSTEM
This article analyzes the main external and internal factors affecting measurement processes in GPS navigation systems. Particular attention is paid to the sources of uncertainty that influence the accuracy and reliability of positioning results. The effects of the ionosphere and troposphere on signal propagation, satellite geometry parameters, multipath effects, receiver characteristics, and human-related factors are considered as the primary contributors to measurement uncertainty. For each factor, the level of uncertainty is identified and quantitatively evaluated. Mathematical formulas and tabulated data are used to estimate the combined measurement error. The results of the study allow for a comprehensive assessment of total measurement uncertainty and provide recommendations for improving the accuracy of GPS-based measurements. The findings are of practical importance for specialists in geodesy, navigation, and satellite technologies.
Copyright (c) 2026 Axmedov B. M., Valiyev M. K., Bekimbetov Sh. I. (Muallif) https://creativecommons.org/licenses/by/4.0
STUDY OF THE ENVIRONMENTAL IMPACT OF SULFUR-BASED POLYMER CONCRETE PRODUCTION
This article analyzes the production technology of sulfur-based polymer concrete and its environmental efficiency. Compared to traditional cement-based concrete, the manufacturing process of sulfur polymer concrete significantly reduces carbon dioxide (CO₂) emissions, requires lower energy consumption, and enables the full utilization of excess sulfur accumulated as an industrial by-product. Additionally, the recyclability, chemical stability, and high resistance of sulfur polymers to water and acids contribute to their long-term durability, resulting in a positive environmental impact. The article further presents technological solutions to prevent gas emissions that may occur during the high-temperature remelting and polymerization processes. The research results demonstrate that sulfur-based polymer concrete holds an important place among environmentally sustainable construction materials and is evaluated as an innovative solution aligned with the green economy concept.
Copyright (c) 2026 Mo‘ydinov A. R., Ziyamuxamedova U. A., Nafasov J. H., Abduraximov Sh. O‘. (Muallif) https://creativecommons.org/licenses/by/4.0
MODERN TECHNOLOGIES INSPECTION OF ROLLING STOCK AT STATION TRACKS
The development of the multimodal transport system in Uzbekistan in recent years has been linked to the growth of freight volumes, the strengthening of intermodal connectivity, and the increasing demand for logistics services. Between 2020 and 2024, the total volume of freight transported by all modes of transport increased from 1,366.7 million tons to 1,521.2 million tons, which necessitates a more efficient organisation of transport processes. Fragmented data across transport modes, insufficient digitalisation of operational processes, and delays at multimodal junctions negatively affect the quality of transport services and lead to reduced transportation efficiency. The study uses data from the Agency of Statistics of the Republic of Uzbekistan for the period 2020–2024 on freight volumes transported by road, rail, air, and pipeline. A relative index model was applied to evaluate the relationship between time and cost in multimodal transportation. In addition, the impact of digitalisation on the efficiency of transport chains was examined through an analysis of the implementation level of real-time monitoring systems, information exchange platforms, and automated management systems. The findings indicate that the growing volume of freight transportation increases the need to enhance the level of digitalisation within the multimodal system. The attainment of 1,385.5 million tons of road freight and 73.9 million tons of rail freight forms the structural basis of multimodal interaction in the country. The “time–cost” model demonstrated that increasing the level of digitalisation can reduce the relative transport cost index by 25–30%, stabilise operational processes, and ensure continuous management of freight flows. It was also determined that the use of digital technologies—such as real-time monitoring, automated inspection systems, and unified information platforms—significantly reduces delays at intermodal transfer points. The gradual implementation of digital solutions in the development of the multimodal transport system is an essential factor in improving the efficiency of transport services. Unified information platforms, digital management of operational processes, and the automation of technical and commercial procedures ensure the continuity of freight flows and contribute to the stable development of multimodal logistics in Uzbekistan. The obtained results confirm the necessity of systematically expanding digitalisation across the national transport networks.
Copyright (c) 2026 Jumayev Sh. B., Obidov N. G‘., Zohidov M. G‘. (Muallif) https://creativecommons.org/licenses/by/4.0
INTELLIGENT IоT-BASED FRAMEWORK FOR REAL-TIME CONDITION ASSESSMENT OF POWER TRANSFORMERS
Ensuring the continuous and reliable operation of power transformers is a fundamental requirement for modern electrical networks. The growing complexity of power systems demands innovative methods for real-time monitoring and predictive maintenance. This research presents an intelligent Internet of Things (IoT)-based system for continuous transformer condition assessment, integrating multi-sensor data acquisition, wireless transmission, and cloud analytics enhanced with machine learning algorithms. The proposed model monitors vital parameters such as winding temperature, oil quality, and vibration levels. Data are analyzed using Artificial Neural Networks (ANN) and Support Vector Machines (SVM) to evaluate the transformer’s health index dynamically. Statistical correlation reveals strong interdependence between temperature fluctuations, oil acidity, and insulation degradation. Experimental validation using real-time datasets from 110/35 kV substations demonstrated a predictive accuracy of 97.5%. The integration of IoT-based analytics into SCADA environments enables predictive maintenance, reduces operational risks, and extends equipment lifespan. The results confirm the feasibility of transitioning from traditional maintenance strategies toward intelligent self-diagnosing power systems.
Copyright (c) 2026 Abdullabekova D. R., Qutbidinov O. M. (Muallif) https://creativecommons.org/licenses/by/4.0
ALGORITHM FOR CONSTRUCTING A MATHEMATICAL MODEL OF INTELLIGENT NEURAL NETWORKS
The most important feature of artificial neural networks, which indicates the wide capabilities and enormous potential, is the parallel processing of information by all parts. A large number of connections between neurons allows you to significantly speed up the process of processing information. This article examines the issues of using neural networks, working with training selections from the main features of neural networks, and building a mathematical model of the network. The determination of gradient components relative to the weights of hidden layer neurons is carried out. In accordance with the error backpropagation algorithm in neural networks, the stages performed in each training cycle are presented.
Copyright (c) 2026 Shukurova O. P. (Muallif) https://creativecommons.org/licenses/by/4.0
INTELLIGENT CONTROL OF IRRIGATION SYSTEMS UNDER WATER SCARCITY: CASE STUDY OF KASHKADARYA REGION AND IMPACT OF QOSH-TEPA CANAL
This article focuses on developing an intelligent system for the safe utilization of Collector-Drainage Water (CDW) to mitigate the negative impact of the Qosh-Tepa canal construction on the water supply of the Kashkadarya region. Considering that 73% of the region's irrigation water is pumped from the Amu Darya, mixing mineralized drainage effluents with fresh water is proposed as an alternative solution. A hybrid control model based on Physics-Informed Neural Networks (PINN) and Internet of Things (IoT) technologies has been developed. The results demonstrate that pulse irrigation regimes and real-time monitoring of salt transport can reduce water deficit by 20-25% and prevent secondary soil salinization.
Copyright (c) 2026 Turgunov A. M., Ibodillayev F. F. (Muallif) https://creativecommons.org/licenses/by/4.0
WATER HAMMER WHEN STARTING A PUMPING STATION
The work is devoted to the study of water hammer during the start-up of pumps in automated stations with low inertia of moving masses and taking into account energy losses during filling of the pressure pipeline. The article presents an analysis of works devoted to the study of shock pressure during the start-up of pumping stations. The paper presents a theoretical study of the maximum impact pressure during the start-up of pumping stations, which provides an accurate assessment of the optimal technical parameters of pumping stations and their main structures. The paper presents a formula for calculating the maximum impact pressure when starting pumping stations, taking into account energy loss along the length of the pressure pipeline. It increases the reliability of the pressure system and ensures resource conservation in the design of pumping stations and their structures. A graphical analytical method is proposed for determining the maximum impact pressure when starting a pump with an open valve installed at the beginning of a pressure pipeline. The analytical results were compared with experimental data on water hammer during start-up of the main pumps at the stations. Reliable agreement was achieved between the results of pressure pipeline calculations using the proposed water hammer dependence and the experimental data.
Copyright (c) 2026 Jonqobilov S. U. (Muallif) https://creativecommons.org/licenses/by/4.0
HYDRAULIC CALCULATION OF WAVE PARAMETERS IN RESERVOIRS WITH
The article examines the problem of surface-wave propagation on a current featuring large-scale turbulence in flowing reservoirs. In the course of the research, a scientific analysis was carried out of the main factors influencing the processes of alongshore currents that occur during wave–current interactions. As a result of the study, relationships were obtained for determining the parameters of wind waves on currents in reservoirs with complex configurations. The previously derived computational relationships for determining wave parameters under conditions of wave–current superposition were refined. It is demonstrated that reservoirs constructed in foothill and mountainous regions are characterized by significantly more complex shoreline transformation processes compared to lowland reservoirs. The stages of forecasting wind waves in a flowing reservoir with a complex configuration are presented, and an algorithm is proposed for calculating alongshore currents with consideration of waves in foothill reservoirs. A method is proposed for forecasting wind waves in flowing reservoirs where wave development in the fetch zone is influenced by steady currents and the limited width of the water area.
Copyright (c) 2026 Rahimov A. R., Latipov Sh. A., Mamatov N. Z., Usmonov R. N. (Muallif) https://creativecommons.org/licenses/by/4.0
IMPROVING THE HYDRAULIC CALCULATION METHOD FOR BOTTOM EDDIES IN THE CONFLUENCE OF FLOW IN DEFORMABLE CHANNELS
Under the influence of the vortex zone formed at the confluence of two channels, sediments intensively settle. Taking these sediments into account, the hydraulic and geometric parameters of the flow are determined. The analytical solution shows that at the confluence of flows, where the secondary channel (Channel 2) joins the main channel (Channel 3), the streamlines bend and contract. This leads to the emergence of a transverse flow. As the flow impacts the left bank of the main channel (Channel 3) and moves toward the right bank, a vortex flow is generated. The resulting vortex flow causes sediment accumulation on the right bank at the inlet section, while the remaining sediments are transported at high velocity in the contraction zone. The high velocity in the contraction section may lead to erosion of the left bank of the main channel (Channel 3). The solution to this issue is explored by varying the angle of channel confluence. During the solution process, the velocity distribution in the channels, as well as the shape and dimensions of the vortex zone, are determined analytically.
Copyright (c) 2026 Xolmamatov I. K., Almardonov O. M., Jo‘rayeva Sh. H. (Muallif) https://creativecommons.org/licenses/by/4.0
KEY FEATURES OF THE CONTROL SYSTEM FOR THE ROASTING PROCESS OF SULFIDE-CONTAINING PRODUCTS
This study focuses on the analysis of the control system for the roasting process of sulfide-containing products. The physico-chemical characteristics of the process are examined, including temperature regulation, oxygen concentration, and gas flow stability. The main chemical reactions, heat transfer mechanisms, and factors contributing to improved energy efficiency are identified. Mathematical modeling and parameter optimization methods aimed at minimizing exhaust gas emissions are also presented. In the study, a comprehensive analysis of the control system for the roasting process of sulfide-containing products was carried out based on scientific data and the practices of modern metallurgical production. Sulfide ores of copper, zinc, and iron were examined, and their physico-chemical and thermophysical properties during roasting were studied. Theoretical analysis, technological modeling, and investigation of the principles of automated control were applied. The obtained results made it possible to identify the main factors influencing the stability, energy efficiency, and environmental safety of the process. As a result of the conducted research, the possibility of optimizing the roasting process of sulfide ores through an automatic control system has been proven. The physicochemical analysis revealed the influence of temperature and oxygen concentration on the reaction rate. Heat exchange analysis showed that heat losses in the furnace account for 12–15%. After the implementation of the PID controller, temperature fluctuations decreased by 81%, and SO₂ concentration variations by 80%. Energy consumption was reduced by 15%, while raw material consumption decreased by up to 8%. The process stability, energy efficiency, and environmental safety improved significantly. The analyses carried out have shown that in existing roasting systems, heat losses, insufficient temperature stability, and uncertainties in controlling the composition of exhaust gases reduce process efficiency. To eliminate these shortcomings, it is recommended to improve thermal insulation, optimize the energy balance, and apply adaptive or fuzzy logic algorithms in the control system. The implementation of predictive analysis functions in the SCADA system will enable proactive process control and help reduce energy consumption. Based on the proposed approaches, the roasting process can become more stable, energy-efficient, and environmentally safe.
Copyright (c) 2026 Muxitdinov D. P., Annaqulov Sh. O., Raximov H. A. (Muallif) https://creativecommons.org/licenses/by/4.0
EXPERIMENTAL ANALYSIS OF THE EFFECTS OF EXTERNAL FACTORS AND CLIMATE CHANGE ON THE PERFORMANCE OF A TROMBE WALL INTEGRATED WITH PHOTOVOLTAIC MODULES
Trombe walls integrated with photovoltaic (PV) modules were evaluated as sustainable systems enhancing the energy efficiency of buildings. The analysis was conducted on two models — with DC fans and without — under dusty and dust-free conditions. On dust-free days, when fans were used, the system’s thermal and electrical efficiencies were 12.2% and 18.4%, respectively, whereas these values were significantly higher in the fan-free mode. Under dusty conditions, a decrease in efficiency was observed in both models. This study explores the potential for significantly reducing building energy consumption by integrating solar energy into roof and façade structures. A comparative analysis was performed on the temperature profiles of two Trombe wall configurations: a ventilated wall with a fan-assisted cooling system and a non-ventilated wall. The study revealed that the temperature of photovoltaic (PV) modules and the overall system performance depend on weather conditions, surface dust accumulation, and the operation of fans. Fans enhance electrical efficiency by cooling the modules, whereas thermal and overall efficiency are higher under dust-free conditions and without fan operation. Dust accumulation reduces solar radiation, decreasing system efficiency, with thermal performance having a decisive impact on the overall energy output.
Trombe wall system integrated with photovoltaic (PV) modules
Copyright (c) 2026 Komilov A. G‘., Nasrullayev Y. Z. (Muallif) https://creativecommons.org/licenses/by/4.0
PHYSICOCHEMICAL TRANSFORMATION PROCESSES IN THE NEAR-WELLBORE ZONE OF DIFFERENT RESERVOIR TYPES
The near-wellbore zone of reservoirs of various types is characterized by complex physical and chemical processes that determine well productivity and the efficiency of stimulation methods. This study examines three independent directions of near-wellbore transformation typical for oil and gas-condensate reservoirs of Uzbekistan. The first direction focuses on the influence of an electrical field on heavy-oil systems, where notable changes in rheological properties, threshold pressure, and filtration behavior are observed. The second direction is based on mathematical modeling of acid treatment in carbonate formations, incorporating dissolution kinetics, channel (wormhole) development dynamics, and the impact of geological heterogeneity on acid distribution. The third direction analyzes hydrochloric-acid technologies applied in low-pressure gas-condensate reservoirs, where mineralogical characteristics and reservoir fluid composition define specific mechanisms of rock–acid interaction.
Copyright (c) 2026 Meyliyev X. B., Samatov Sh. Sh., Boyqobilova M. M. (Muallif) https://creativecommons.org/licenses/by/4.0
THE SIGNIFICANCE OF COSMOSTRUCTURES IDENTIFIED THROUGH SPACE IMAGE INTERPRETATION IN THE ENDOGENOUS MINERALIZATION PROCESS
<span lang="UZ" style="font-size: 11.0pt; line-height: 107%; font-family: 'Calibri','sans-serif'; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: UZ; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; mso-bidi-font-weight: bold;">This article investigates the role of kosmostructures in the process of endogenous mineralization in the western and central parts of the Bukantov Mountains, identified based on the interpretation of satellite imagery. The structural and tectonic features of the area were determined using remote sensing data, lineament analysis, detection of ring structures, and digital photoanalysis methods. The results indicate that the Bukantov region was formed under the influence of alternating tectonic regimes, that ring structures are associated with the location of intrusive bodies, and that lineament zones are the main tectonic elements controlling endogenous mineralization. The obtained data contribute to a better understanding of the region’s metallogeny and optimize predictive work for mineral exploration.
Copyright (c) 2026 Hasanov N. R. (Muallif) https://creativecommons.org/licenses/by/4.0
RESULTS OF STUDYING THE FRACTURING OF RESERVOIR ROCKS USING WELL LOGGING METHODS
The paper presents the results of studying the fracturing and reservoir properties of rocks based on well logging data. Standard well logging methods (WLM – acoustic, neutron-gamma, gamma-gamma density, electrical and induction logging) were used to determine porosity, clay content, oil and gas saturation coefficients, as well as effective reservoir thicknesses. The capabilities of modern FMI, CAT and Sonic Scanner technologies in identifying and characterizing fracture systems are analyzed, and their advantages and limitations are highlighted. The obtained results demonstrate the effectiveness of integrated well log interpretation for reliable evaluation of fracture development and void space in carbonate reservoirs.
Copyright (c) 2026 Mavlanov Z. A., Ermatov N. X., Bozorov U. S. (Muallif) https://creativecommons.org/licenses/by/4.0
ANALYSIS OF GEOLOGICAL AND FIELD DATA AND THE CURRENTDEVELOPMENT STATUS OF THE SHURTAK GAS-CONDENSATE FIELD
This paper presents an integrated analysis of geological field data and the current development status of the Shortak gas-condensate field. Through interpretation of hydrodynamic well test results, reservoir filtration parameters were determined, including the Forchheimer coefficients. Comprehensive analysis of reservoir gas composition and condensate fraction distribution revealed correlations between condensate content and production rates. The study examines dynamic performance indicators including well inventory, reservoir pressure behavior, and production profiles. Diagnostic plots of normalized reservoir pressure versus cumulative gas production were developed to evaluate drainage volumes and characterize reservoir drive mechanisms. The research outcomes provide a scientific basis for optimizing field development strategies and planning well intervention operations.
Copyright (c) 2026 Asadova, X.B., Sultonov, N.N., Boyqulov, M.A. (Muallif) https://creativecommons.org/licenses/by/4.0
HYDRAULIC CALCULATION OF THE REFORMATION OF A RESERVOIR SHORE UNDER THE INFLUENCE OF WAVE FLOW
The article presents the influence of wind-generated waves on the reshaping of the shoreline slope. To study this process, experimental investigations were carried out under laboratory conditions, and data from other researchers were also processed. Each author proposes their own methodology based on the data obtained from experiments. It is considered that the models reviewed are relatively diverse and can be used, in a generalized way, for a qualitative assessment of shoreline evolution. Based on the analysis of experimental studies and the research of other authors, a new generalized method is proposed for calculating the reshaping of reservoir shoreline profiles under the influence of wind-generated waves. It is noted that this method is recommended for wind speeds over water bodies below 20 m/s.
Copyright (c) 2026 Rahimov A. R., Latipov Sh. A., Raxmatov M. I., Mamatov N. Z., Usmonov R. N. (Muallif) https://creativecommons.org/licenses/by/4.0
MATHEMATICAL ANALYSIS OF LOAD DISTRIBUTION AND BALANCING PROCESSES IN CHARGING STATIONS CONNECTED TO HYBRID ENERGY SOURCES
The increase in electric vehicles has made ensuring energy balance at charging stations a critical challenge. In this study, a hybrid model based on solar panels, wind turbines, the central grid, and battery storage was developed, and its efficiency was evaluated. Simulation results showed that the proposed approach increases efficiency by 18–25%, reduces losses by 8–10%, and decreases the grid load by up to 30%. In the study, the energy balance of the charging station was modeled. Photovoltaic, wind, and battery power were evaluated using appropriate models. Optimization methods were applied for balancing, and calculations were carried out in MATLAB/Simulink and Python environments. According to the simulation results, 45–55% of the charging station load was supplied by renewable sources, 20–30% by the battery, and the remaining part by the central grid. The hybrid strategy reduced losses, increased efficiency up to 78%, and alleviated grid stress during peak loads. The study results showed that hybrid energy-based charging stations ensure technical stability, reduce grid load, and improve efficiency. The proposed model can be applied in real projects
Copyright (c) 2026 Esanov T. B. (Muallif) https://creativecommons.org/licenses/by/4.0