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204 articles for “generative models”
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Performance Analysis of Long Shunt Self Excited Induction Generators
Abstract: The Subject of this paper is to analyse the Self Excited Induction Generators operating in long Shunt configuration. A simulink model of long shunt self excited induction generator (SEIG) has been developed using Matrix Laboratory (MATLAB) (R2010a) user friendly toolbox. The results are verified by conducting experiments on the same SEIG. Different results are taken for different loading conditions.The values of Shunt and Series capacitance is also changed for different …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 1, Issue 1, 2015 · pp. 1–6 Read article
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Modeling Concrete Tensile Strength from Fly Ash and Alccofine as Partial Replacement for Cement
Abstract: Tensile strength development were carried applying derived modeling and simulation, this study is to monitor the behaviour of the material in tensile state, Several materials has been used as modifiers or partial replacement, but the application of alccofine as a micro-fine materials has not been thoroughly applied by experts, this product has fine particles that is more finer than cement including other materials, the tensile strength behaviour from the studies …
Published in International Journal of Concrete Technology · Vol. 6, Issue 2, 2020 · pp. 22–38 Read article
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Optimization and Analysis of Pulsation Dampener
Abstract: This paper presents a new method for generating computer-aided models and analysis of pulsation dampeners used in fluid power systems to reduce vibration. Pulsation dampeners are widely used in different energy systems to measure the backlash that is driven by power pumps. The vibrations caused by the power pumps in the water system can be strong enough to cause structural damage to the pipes if the pulsation dampener is not …
Published in International Journal of Computer Aided Manufacturing · Vol. 6, Issue 1, 2020 · pp. 53–56 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Harmonizing Traditional Crafts with Contemporary Creative Innovation
Abstract: Modern design emphasizes simplicity, functionality and innovation, focusing on efficiency and minimalism. When allied with tradition, it enriches spaces with cultural depth, craftsmanship, and practices that respect history. As sustainability grows central, traditional techniques offer insights into resource efficiency and cultural continuity. The synergy between modern design and tradition is often misconstrued as a tension between historical continuity and contemporary progress. Many argue that modern architecture, with its emphasis on …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 1, 2025 · pp. 47–53 Read article
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Heat Generated Simulation with Bacteria and Fungi inCrude Oil Remediation in an Aerated Lagoon
Abstract: Studies on the heat generated by bacteria and fungi in an aerated lagoon were monitored by theapplication of MATLAB computed software simulation. Mathematical models were developed in termsof substrate utilization by microbes and correlated with the Monod’s equation model which revealedthe trend of heat generated at different operating temperature of 15°C, 30°C, 45°C, 60°C, 75°C, 90°C,105°C and 120°C. The heat generated varies with increase in the microbial concentration as favoredby …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 27–45 Read article
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Image Caption Generator Implementation
Abstract: Image caption generation is a software technology that takes an image as an input and produces a descriptive caption in text form. In the modern era, this technology finds application in various fields. For instance, automatically generating captions for medical images aids in diagnosis and enhances reporting efficiency, helping healthcare professionals to quickly interpret complex visuals. In the realm of autonomous vehicles, image captioning enables these vehicles to understand and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 18–23 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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Comparative Study of Oil Palm Fibre for Effective Remediation of Crude Oil in a Contaminated Soil
Abstract: Comparative study was conducted on two different oil palm fibre effectiveness on degradation of crude oil contaminated loamy soil. The method of X-ray fluorescence spectrometer (GC) was applied for crude oil analysis as well as the different samples of oil palm fibres, which was classified as Elaeis Guineeensis and Tekena Species was analyzed to determine the possible elements present in the specimen and the result obtained identified, Mg, P, Si, …
Published in International Journal of Energetic Materials · Vol. 6, Issue 2, 2020 · pp. 25–30 Read article
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A Review on Control Methods for Micro-grid based Distributed Generation System
Abstract: To counter the growing demand for energy, improvement in integration of distributed micro-grid based energy is the most promising problem in power system in the near future. The implementation of micro-grid systems offers significant advantages to both power suppliers and end customers. The current emphasis is on a comprehensive review of the control strategies and issues related to micro-grid and various droop control and strategy mode operation. This paper presents …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 2, 2016 · pp. 20–26 Read article
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Fatigue Stress Analysis of Composite Material Leaf Spring
Abstract: The finite element (FE) modeling and analysis of a multi-leaf spring has been carried out. It includes two full-length leaves in which one is with eyed ends and seven graduated length leaves. Different types of material have been chosen like steel, aluminum, carbon epoxy and glass epoxy. The model of the leaf spring has been generated in Pro/e5.0 and imported in ANSYS-12 for FE analysis, which are the most popular …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 2, 2018 · pp. 30–33 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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Effect of Nano-Fillers on the Mechanical and Fracture Behavior of Polymer Composite Matrices: A Review
Abstract: The modification of polymer composite matrices through the incorporation of nano-scale fillers has become a prominent and highly effective strategy for enhancing mechanical performance, stiffness, and fracture resistance. Unlike conventional micro-scale reinforcements, nano-fillers possess exceptionally high surface area–to–volume ratios and unique physicochemical characteristics that significantly influence interfacial phenomena within the polymer matrix. Materials, such as carbon nanotubes (CNTs), graphene nanoplatelets (GNPs), nano-silica, and layered silicate nanoclays, introduce advanced toughening mechanisms …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 31–36 Read article
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A Performance Evaluation of Transformer, LSTM, and ARIMA Models for LoadForecastinginIndia'sRenewable-RichSmart Grid
Abstract: India is trying to use renewable energy such as solar and wind to produce extreme and unpredictable fluctuations within India's National Smart Grid. These extreme fluctuations create difficulties for traditional load forecasting methods, including Autoregressive Integrated Moving Average (ARIMA) models, to provide stable and efficient operation through the creation of accurate short-term load forecasts. To accomplish this, the research aims to develop high-quality predictive models by comparing three modelling methods: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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Bauschinger Effect on Micro-Lattice of Ti-6al-4v Implants by Using Finite Element Analysis
Abstract: This research's primary objective is to apply the Bauschinger effect to develop a micro-lattice of titanium alloy implants using nonlinear finite element analysis. In orthopedics, micro-lattice cellular Ti-6Al-4V designs with controlled porosity and pore sizes that are good for tissue ingrowth and biological mechanisms are often used. In this investigation, CAD models of various unit lattice structures were generated using Intra-Lattice software, incorporating design parameters such as strut length, strut …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 9, Issue 1, 2023 · pp. 18–24 Read article
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Kinetic Modeling of Biomass Pyrolysis for Renewable Energy Production.
Abstract: Biomass pyrolysis is a promising technology for renewable energy production, offering a sustainable alternative to fossil fuels. This process involves the thermal decomposition of organic materials in the absence of oxygen, resulting in the generation of bio-oil, syngas, and biochar. Kinetic modeling of biomass pyrolysis is essential for optimizing the process and enhancing the yield and quality of the products. This abstract presents a comprehensive review of kinetic models used …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Exploring the Ettingshausen Effect: Magnetothermoelectric Transport in Graphene Nanoribbons and Iron-Carbon Alloys
Abstract: This study investigates the magnetothermoelectric effects, specifically the Ettingshausen effect, in graphene nanoribbons and iron-carbon alloys and explores their implications in plasma physics through self-similar modeling. The Ettingshausen effect, which involves the generation of a transverse heat current from a longitudinal charge current in the presence of a magnetic field, is analyzed using the Landauer-Büttiker formalism and nonequilibrium Green's function methods. Results reveal that in graphene nanoribbons, the Ettingshausen effect …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 31–35 Read article
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Predicting the Influence of Permeability’s on Settlement of Shallow Foundation
Abstract: Foundation settlement rose as soil permeability increased, excess pore pressure increased with depth, and decreased as shear modulus increased. The expanding soil cycle (shrinkage and expansion) that is principally responsible for foundation settlement is strongly related to water content. The application of modeling and simulation was used to monitor the effect of various soil properties on foundation settlement. But the focus of this study is on Permeability including other soil …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 9, Issue 1, 2023 · pp. 36–54 Read article