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784 articles for “model-based approach”
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Designing Self-Optimizing Operating Systems: Information-Theoretic Approaches to Thread Scheduler Implementation
Abstract: Thread Level Scheduling (TLS) in multi-core and many-core processor environments represents a critical frontier in next-generation operating system design. As computing systems grow increasingly heterogeneous and concurrent, traditional scheduling strategies often rely on heuristics or localized resource metrics, frequently overlooking the deeper, quantifiable relationships and uncertainties inherent in complex concurrent workloads. This study explores the application of information-theoretic approaches, specifically entropy-based task allocation, mutual information-driven dependency analysis, and channel capacity-inspired …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 31–39 Read article
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Security Vulnerability Assessment Of A Hypothetical Lng Gas Treating Plant Using A Spreadsheet Template
Abstract: The upsurge of terrorism and attacks on chemical plants in several nations, including Nigeria, has necessitated the need for vulnerability studies. This study uses the Security Vulnerability Assessment, Prevention, and Prediction approach to analyze the vulnerabilities of a hypothetical chemical plant using a developed spreadsheet template. With a safety barrier method, an attack model based on security barriers was developed. External, internal, interior, critical, and fail-safe security barriers were proposed …
Published in Emerging Trends in Chemical Engineering · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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A New Framework for Optimal Hesitation Pattern Mining
Abstract: AbstractIn mathematical optimization, the firefly algorithm is a metaheuristic approach. It has been proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. Proposed research used Firefly Algorithm for discovering the best Association rules. In this species, it is always the female who glows, and only the male has wings. In other species, Luciola lusitanica, both male and female firefly may emit light and both have wings. If …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 34–41 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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HMM-Based Text-to-Speech Synthesis & Stressed Speech Processing
Abstract: According to this paper, the new system produces synthetic speech that is noticeably higher-quality thanspeaker-dependent systems when actual speech data sets are used, and it can compete with speaker-dependent approacheseven in situations when substantial speech data sets are available. This excitation signal, the glottal source, has naturallypiqued the interest of speech synthesis, and a variety of techniques have been developed to mimic the glottal source ofspontaneous speech.The use of artificial …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 7–14 Read article
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Variation of Ground Acceleration with Increase in Lateral Distance
Abstract: Ground acceleration induced by dynamic loading decreases with increasing lateral distance from the source because of wave attenuation and energy dissipation through the ground. Accurate estimation of ground acceleration at different distances is essential for evaluating the safety and performance of nearby structures, particularly in blasting, seismic, and heavy construction activities. This study presents a simplified linear attenuation model for estimating ground acceleration at greater lateral distances using limited measured …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 21–27 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
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Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees
Abstract: Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 9–16 Read article
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Implementation of Energy-efficient Axial Fans for Air Handling Unit Using AI Model
Abstract: This research explores the integration of energy-efficient axial fans in Air Handling Units (AHUs) within a large automotive manufacturing facility to enhance HVAC (heating, ventilation, and air conditioning) performance and reduce energy consumption. Standard AHUs in the facility’s clean rooms and other spaces utilize traditional blower fans, which primarily rely on static pressure, limiting their efficiency. By replacing these with electronically commutated (EC) axial flow fans, which leverage both static …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 28–34 Read article
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Enhancing Dimensional Accuracy of Affordable 3D-Printed Objects Via Solid Model Tuning For Industrial Manufacturing
Abstract: In the industrial applications of 3D printing (3DP) technologies, achieving precise dimensional accuracy and precision as well as improving surface quality are essential goals. With a focus on cost-effective engineering applications, this experimental research examines how solid model geometry tuning improves the internal and exterior dimensional accuracy of inexpensive 3DP technologies. Dimensional errors in the X, Y, and Z directions were meticulously measured on 3D parts made using Material Extrusion/Fused …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 201–210 Read article
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Study of Global Solar Radiation Estimation based on Artificial Neural Networks Techniques
Abstract: AbstractSolar Radiation data received by earth in the form of x-rays, UV-rays, infrared rays is a prominent and useful data as it gives the information about the amount of energy received from sun at the earth. Artificial Neural Network (ANN) is brain inspired technology which learns and performs in a way similar to the way our human brain performs. Sun’s energy is of utmost importance and is freely available in …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 1, 2020 · pp. 26–31 Read article
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Design and Development of Web based Fuzzy Expert System for Diseases Diagnosis in Horticulture Sector: A Case Study of Flower Rose
Abstract: AbstractThe internet provides a platform for research and development of intelligent software applications. This paper suggests a new approach for inculcating intelligence in the computational system for diagnosis of diseases in plants of horticulture domain. In this paper, a web-based expert system is designed and developed. The need of horticulturists changes according to region of a country so it is very necessary to update knowledge base according to requirement of …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 1, 2013 · pp. 5–15 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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Novel Technique for the Analysis of Electronic Circuits Including Zener Diodes
Abstract: This paper addresses the analysis of electronic circuits including Zener diodes. It starts with a modified Zener diode model, which is based on expressions involving step-functions, its parameters such as the resistances in both current directions as well as its breakdown (or Zener) voltage. In contrast to the earlier approaches expressing the sharp discontinuities characterizing the step-functions in terms of inverse hyperbolic tangent terms, this paper adopts more concise and …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 3, 2021 · pp. 31–41 Read article
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Software Performance Engineering Based on Software Oriented Approach
Abstract: AbstractPerformance engineering inside systems engineering includes the arrangement of jobs, abilities, exercises, practices, apparatuses, and expectations connected at each period of the Systems Development Life Cycle which guarantees that an answer will be structured, actualized, and operationally upheld to meet the non-useful execution prerequisites characterized for the arrangement. Performance—responsiveness, and versatility—is a represent the moment of true quality for software. Software Performance Engineering (SPE) gives an efficient, quantitative way to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 1, 2019 · pp. 18–28 Read article
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Review On BIM-Based (Revit+Robot Software) Comparative Wind Load Analysis of High-Rise RCC Buildings in Zone-III, IV and V
Abstract: Wind load is one of the most critical factors influencing the design and serviceability of high-rise reinforced concrete (RCC) buildings. As building height increases, wind-induced effects such as storey drift, lateral displacement, and structural stiffness become dominant design considerations. Numerous studies have been conducted using conventional and advanced techniques such as Finite Element Method (FEM), Computational Fluid Dynamics (CFD), and Building Information Modelling (BIM). However, limited research focuses on comparative …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 27–41 Read article
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Defect Diagnosis and Modelling for A Rotating Machine Running at A Steady Pace
Abstract: Rotary equipment, such as gears, shafts, pumps, and bearings, are widely used across various rotary machine in industries, often operating under different loading conditions. The fluctuations in loading can lead to fatigue failures in rotating components, significantly affecting machinery performance. To investigate the behavior of such rotating equipment under diverse operational scenarios, a numerical model has been created. This approach can replace costly and often challenging experimental methods. However, it …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 154–164 Read article