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384 articles for “modeling”
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A method to determine kinetic triplet by coupled with model-free method and model-fitting method
Abstract: The present study is aimed to obtain integral linear method using rational expressions given by Senum and Yang, and a method of selecting the reaction model more quickly and easily and compute the activation energy and pre- exponential factor more accurately was proposed. An improved linear integral procedure coupled with one model-free method and one model-fitting method for the determination of kinetic triplet using non-isothermal data recorded at several heating …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 1, 2025 · pp. 1–13 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 Review of Combustion Modeling Techniques for IC Engines: CFD Simulations and Experimental Correlations
Abstract: For a long time, internal combustion (IC) engines have been the mainstay of power generating and transportation systems. However, a move toward cleaner and more efficient engine technologies has been spurred by stricter pollution restrictions and growing environmental concerns. In this context, combustion modeling has emerged as a critical tool for understanding in-cylinder processes and improving engine performance. This review focuses on the evolution and application of various combustion modeling …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 13–20 Read article
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The Efficacy of Hybrid Annuity Model: Sanitation Infrastructure
Abstract: The Hybrid Annuity Model has garnered significant acclaim as a Public-Private Partnership (PPP) framework for highway infrastructure development since its inception in 2016, in response to a waning enthusiasm for PPP initiatives aimed at revitalizing the sector. This model is postulated to amalgamate the advantages of both public and private sectors, as it alleviates the financial encumbrance on concessionaires by permitting governmental investment of 40% of the requisite capital during …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–19 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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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Kinetic Model for Production of Carbon(iv)oxide (CO2) from Brewers Spent Grain Using Anaerobic Digester
Abstract: In this research paper, investigation studies were carried out to determine which model best predicts the amount of using the linear, power, growth rate decay, and non-elementary rate models, the kinetics of the biogas produced under the impact of biodegradation were explored. Carbon(iv)oxide was produced as a fraction of the biogas acquired from the experimental conditions. Either of the linear, power, growth rate decay, and non-elementary rate models can be …
Published in International Journal of Energetic Materials · Vol. 10, Issue 1, 2024 · pp. 17–31 Read article
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SaaS Multi-Model Integration: A Comprehensive Student Companion
Abstract: The “SaaS Multi-Model Integration” paper addresses the challenges faced by students in accessing timely, personalized, and cost-effective academic assistance. Individual large language model chatbots excel in specific areas – academic reasoning, mathematical problem-solving, or general queries – but their fragmented nature forces students to subscribe to multiple services, leading to wasted time, money, and effort, particularly during urgent academic needs. This paper consolidates the strengths of widely used large language …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 10–17 Read article
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Statistical Modeling of Diffusion of Heavy Metals from Waste Oil in Soil Environment Using Regression Analysis
Abstract: Regression analysis is a statistical tool or method used to estimate the relationship between dependent variable and one or more independent variables. The diffusion and statistical model of heavy metals in soil are critical factors influencing pollutant migration and environmental remediation strategies. Understanding the diffusion and statistical method of analyzing the adsorption of heavy metals in soils is crucial for assessing environmental contamination and designing effective remediation strategies. This study …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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An Analytical Model to Predict a Real Time Temperature Variation During Laser Treatment of Cancer Tissues
Abstract: This work presents an analytical solution to provide a real time variation in increase of temperature during laser-treatment of cancer tissues. Energy conservation equation is used to model the respective laser treatment process considering application of the laser and related heat loss as heat source terms. The present prediction is validated first with existing literature and extended the same to predict the effect of different process variables, such as laser …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 1, 2025 · pp. 1–8 Read article
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Analytical Modeling and Simulation of Helical Gear Systems for Improved Load Distribution
Abstract: An analytical modeling and simulation methodology to improving load distribution in helical gear systems is presented in this research study. Fundamental parts of many mechanical systems, helical gears provide the benefits of smooth engagement, lower noise levels, and increased weight bearing capability. However, retaining lifespan and dependability in gear systems requires establishing regular load distribution throughout the gear teeth. This work explores the parameters influencing load distribution and suggests strategies …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Thermal Dynamics and Kinetic Modelling of Cryogenic Fuels in Aerospace and IndustrialApplications
Abstract: Cryogenic fuels are critical for high-speed aerospace and industrial applications, where efficient handling, storage, and usage are paramount for performance and safety. This study explores the thermal dynamics and kinetic modeling of cryogenic fuels, focusing on liquid handling systems and propellant technologies. Utilizing computational fluid dynamics (CFD) analysis, the research evaluates the behavior of cryogenic liquids within insulated vessels under extreme temperature conditions, identifying key parameters that influence thermal stability …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 2, 2024 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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SYNTHETIC MEDICAL DATA GENERATIONUSING GAN MODEL
Abstract: The healthcare industry has witnessed growing interest in synthetic data generation, driven by increasing demands for large and diverse datasets. Real medical data is often inaccessible due to stringent privacy laws, data scarcity, and ethical considerations. Sophisticated models, such as Generative Adversarial Networks (GANs), have emerged as powerful tools to generate synthetic data that closely resembles real-world data. This approach is particularly effective for addressing the challenges of researching rare …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article