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204 articles for “generative models”
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Mathematically Modeling of PV-Wind Hybrid System
Abstract: The study of hybrid (Photovoltaic and wind) generation is used system which is consist of 1 kW wind and 1 kW PV. The solar radiation data and wind data of the School of energy Environmental studies from D.A.V.V Indore are analyzed for sizing of the renewable energy system. The output power of a wind turbine at a specific location depends on many factors, the amount of available energy increases with …
Published in International Journal of Energetic Materials · Vol. 8, Issue 2, 2022 · pp. 10–17 Read article
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Modelling and Simulation of Complex Power System Network to Prevent Blackouts
Abstract: A complex power system network consists of different elements of the power system such as generators, motors, transformers, transmission and distribution lines, relays, circuit breakers etc. In this, a complex network is being modeled and simulated accordingly in order to prevent unwanted blackouts occur due to various climatic as well as system disorders. This aims to prevent such unwanted blackouts that cause very harmful effect to every stage of human …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 1, 2016 · pp. 43–49 Read article
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A New Architectural Model Shift Beyond the Cloud in Python Using PS
Abstract: Nowadays, data science initiatives are typically generated in an unstructured manner, making replication difficult. Transitioning from an experimental to a production environment is also difficult. Data scientists may transfer a pipeline from a local environment to the cloud using operational techniques like containerization, continuous deployment, and cloud orchestration. Recognizing the difficulties associated with establishing those procedures, this study proposes a framework for easier experiment monitoring and machine learning operationalization by …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 1–5 Read article
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Suitability of Methyldiethanolamine (MDEA) and Piperazine (PZ) for Improving CO2 Absorption Efficiency Using Rotating Packed Bed (RPB) Technology: A Modeling and Simulation Study
Abstract: Carbon dioxide (CO2) capture and storage (CCS) is an essential technology for reducing atmospheric CO2 emissions and mitigating climate change, especially in fossil-fuel power generation. However, the high cost of CCS technologies has hindered their widespread adoption. In this study, we modeled CO2 removal using a rotating packed bed (RPB) technology using Visual Fortran and Aspen Plus software. We made use of a blended amine solution including different molar concentration …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 9–15 Read article
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Design Strategies for Future Ready Residential Buildings: A Case for Dehradun
Abstract: Dehradun, a city in foothills of Himalayas, is experiencing rapid urbanization and lifestyle shifts. Since it is the capital city of Uttarakhand, these changes are reshaping housing patterns and creating pressing challenges for architects to design spaces that can accommodate evolving user needs. This research aims to investigate how residential spaces in Dehradun have transformed over time, and how architects can design flexible, future-ready homes that anticipate long-term changes in …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 33–43 Read article
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Future-Ready Library Buildings: AI and IoT for Equity and Compliance
Abstract: Libraries are buildings presenting unique challenges when integrating different types of spaces under a single roof, like quiet reading spaces, central lobbies, book staging areas, archival rooms, discussion zones, seminar rooms, e-resources labs, etc. These spaces require specialized norms related to construction and involve varied daylighting requirements, anthropometric needs, indoor air environment requirements, and other specific functional needs. Moreover, libraries must follow various requirements mentioned in relevant IS codes, fire …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 19–24 Read article
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Renewable Energy using Smart Grid Embedded System in an Internet of Thing
Abstract: The customer domain of the smart grid naturally blends with smart home and smart building systems, but typical proposed approaches are “distributor-centric” rather than “customer-centric,” undermining user acceptance, and are often sparingly scalable. To solve this problem, we propose a detailed architecture and an implementation of a “last-meter” smart grid the portion of the smart grid on customer premises embedded in an internet-of-things (IoT) platform. Our system determines both the …
Published in International Journal of Analog Integrated Circuits · Vol. 4, Issue 1, 2018 · pp. 13–22 Read article
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High Performance 64-Bit Vedic MAC with Logic BIST Features
Abstract: Multiply and Accumulate (MAC) is a very important operation in most of the DSP applications such as FIR/IIR filters, convolutions, and FFT computations. Therefore, every DSP processor will incorporate a hardware MAC for high-performance operations. However, most of the MAC architectures do not have self-testing features. It is very essential to embed self-testing features in the MAC design for accurate and reliable operation thus avoiding the need for expensive external …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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Application of Monod Equation and First Order RateKinetics for the Determination of TPH Concentrationalong the Depths
Abstract: In order to calculate the rate of TPH concentration along the depths, this research project applies theMonod Equation and First Order Rate Kinetics. TPH diffusion in the stagnant water medium wasexamined using the Developed Dispersion and Degradation Model integrated with the first orderdegradation rate and the Monod equation q2. TBC in both water media increased gradually over timeuntil the 56th day, and then rapidly between the 70th and 80th day. …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 · pp. 26–43 Read article
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Modelling the Parameters Affecting Interconnection of Grids Using ISM-MICMAC Approach
Abstract: grid interconnections offer links between power generating systems of adjoining countries with the aim of economical power sharing. Grid interconnection also offers several benefits such as reduced energy prices, better economic exchange and increased energy supply etc. The interconnection of power grids is a complex task which is affected by numerous parameters. These parameters not only influence the interconnection of grids but also influence each other. The main objective of …
Published in International Journal of Metallurgy and Alloys · Vol. 2, Issue 1, 2016 · pp. 8–19 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Computation of Gas Turbine System as Renewable Energy Conversion Mechanisms
Abstract: In the present work thermo-economic analysis of a cogeneration cycle is carried out so that any power generation industry can choose best power generation system out of the choices available with organisation. Mathematical modeling for the cost evaluation of each component is developed and results are obtained with computational programming tool EES (Engineering Equation Solver). Form results it is being found that with change in combustion chamber outlet temperature or …
Published in International Journal of Composite and Constituent Materials · Vol. 2, Issue 1, 2016 · pp. 10–15 Read article
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Advanced Classification of Diabetic Retinopathy Using GAN and Deep Residual CNN Model
Abstract: Diabetic retinopathy (DR) is a leading cause of blindness worldwide, impacting the largest number of individuals who have diabetes. Early identification of diabetic retinopathy may help to prevent severe effects; however, the very limited availability of labeled datasets, and the possibility of overfitting of the model, presents obstacles to obtaining an accurate diagnosis. In this research, a hybrid deep learning strategy is introduced, where Generative Adversarial Networks (GANs) are used …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Delineate Catchment Areas of Vindhyachal Region Using Geospatial Techniques
Abstract: In this paper we used an integrated suite of raster and vector geospatial datasets to delineate and characterize watersheds. The geospatial datasets used to delineate and characterize watersheds with the help of Arc Hydro tools of Arc GIS software. We have performed drainage analysis on a terrain model for Vindhiyanchal Region. With the availability of digital elevation models (DEM) and geographic information system (GIS) tools, watershed properties can be extracted …
Published in International Journal of Water Resources Engineering · Vol. 1, Issue 1, 2015 · pp. 1–9 Read article
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Numerical Study of Vibration Stress and Deformation of Rotating Fan Blade of a Gas Turbine
Abstract: The vibration stress caused by resonance is the main cause of failure in aircraft engine blades. The study is aimed at investigating the vibration stress of a single-stage fan blade influenced by the interaction of aerodynamic and structural behavior at multiple critical speeds. A three-dimensional finite element model of the blade was developed for the simulation of vibration stress and its subsequent effects. The blade was verified by modal test. …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 3, Issue 1, 2017 · pp. 7–20 Read article
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Design and Fabrication of A Vertical Axis Darrieus Wind Turbine for Household Electricity Generation
Abstract: The Vertical Axis Darrieus Wind Turbine (VAWT) market is growing at 15% annually, valued at $2.1 billion, with rising demand for 10-30 kW models for residential use. This Paper focuses on designing and fabricating a compact, efficient, and low-maintenance VAWT optimized for urban applications and low wind speeds. Addressing gaps in blade design, adaptability, and cost, the turbine features helical blades modeled in SolidWorks for optimal geometry and performance.Polylactic acid …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article
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Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning
Abstract: In order to create high-resolution photographs, Super Resolution (SR) tries to transform low-resolution photos. SR methods can be categorized into two categories: Single Image Super Resolution (SISR) and Video Super Resolution (VSR). SISR initially needs to upscale low-resolution photos to high-definition images. VSR, which stands for "image super resolution," is used to transform low-quality videos into ones with higher resolution. Deep learning techniques use Convolutional Neural Networks (CNN), a special …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 8, Issue 1, 2022 · pp. 18–24 Read article
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Analysis of Stability of Slope Subjected to Blast Vibrations: A Numerical Modelling Approach
Abstract: Numerical simulation was employed to estimate the dynamic behaviour of the canal slope under blasting load based on the blast vibration field test of Yanakandla Mine, Kurnool District of Andhra Pradesh. Blast vibrations were monitored at different distances and based on the data obtained a regression curve was generated. The study consisted of slope stability analysis of the canal near the mine using Distinct Element Modelling technique in 3DEC software. …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 2, Issue 1, 2016 · pp. 39–47 Read article