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239 articles for “methodological frameworks”
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Integrating Value Education into Curriculum Development: A Comprehensive Approach
Abstract: In today's educational landscape, the necessity of incorporating value education into curriculum development has garnered heightened attention. This abstract delineates a holistic approach towards achieving this integration, acknowledging the fundamental role of values in shaping both individuals and societies. Through the integration of values within the curriculum, educational institutions strive to nurture students not merely academically, but also ethically and emotionally. The proposed approach commences with a meticulous examination of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 13–19 Read article
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AI-Assisted Optimization of Supersonic Airfoil Shapes Using CFD Coupling
Abstract: This paper presents a novel framework for optimizing supersonic airfoil geometries through integrated artificial intelligence and computational fluid dynamics coupling. Traditional gradient-based optimization methods for high-speed aerodynamic shapes suffer from computational expense and convergence difficulties in non-convex design spaces. The proposed methodology employs a deep neural network surrogate model trained on high-fidelity Reynolds-Averaged Navier-Stokes solutions to approximate aerodynamic performance metrics across the design space. A hybrid particle swarm-genetic algorithm searches …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 8–17 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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A Conceptual Framework of Financial Risks Activated by Geo-Environmental Factors in Transportation Infrastructure Projects
Abstract: Geo-environmental factors wield substantial influence in both the design and construction of transportation infrastructure.Managing the financial risk associated with geo-environmental factors is key to the successful implementation of transportation infrastructure projects. Ground Investigations are the primary avenue to minimize financial risk due to geo-environmental factors. Limiting ground investigations to desk studies and preliminary reconnaissance based on superficial site inspection, or carrying out reactive post-contract ground investigations, however, appears to be …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 37–43 Read article
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Open Educational Resources and Open Access Publishing in Higher Education: Policies, Challenges, and Collaborative Models
Abstract: Open Educational Resources (OER) and Open Access (OA) publishing are transforming higher education by promoting equitable access to knowledge, reducing costs, and fostering collaborative innovation. While OER focus on openly licensed teaching and learning materials, OA ensures unrestricted online access to scholarly research. Together, they form an integrated open knowledge ecosystem aligned with global policy frameworks such as the UNESCO OER Recommendation (2019) and the Budapest Open Access Initiative. This …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 7–12 Read article
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Quantitative Structure-activity Relationship in Computer-aided Drug Design: A Review
Abstract: Quantitative Structure-Activity Relationship stands at the forefront of Computer-Aided Drug Design, providing a systematic framework for understanding the relationship between the chemical structure of molecules and their biological activity. The present review delves into the multifaceted realm of quantitative structure-activity relationship methodologies within the landscape of drug discovery. Through an exploration of diverse quantitative structure-activity relationship models, molecular descriptors, validation techniques, and recent advancements, the present article aims to elucidate …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 55–63 Read article
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Enhancing Health of Workers in the Water Sector Through Effective Governance, Risk Management, and Environmental Safety Standards
Abstract: The water sector is fundamental to achieving sustainable development, safeguarding public health, supporting economic advancement, and ensuring environmental preservation in any nation. This paper explores how effective governance, comprehensive risk management frameworks, and strict adherence to environmental safety standards can contribute to improving the health and well-being of engineering professionals and workers within the water sector. The research methodology comprises an extensive literature review, detailed case studies, field visits to …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 20–30 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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The Critical Role of Cyber Threat Intelligence in Countering Terrorism: Challenges, Successes and Policy Recommendations
Abstract: Cyber threats from terrorist organizations pose severe risks to national security, economic stability and public safety. Cyber threat intelligence (CTI) has emerged as a crucial capability for pre-empting and disrupting cyberterrorism attempts through systematic monitoring of threat actors, along with analytical frameworks to contextualize tradecraft. This paper provides an extensive overview of CTI, analyzing the state of the art of intelligence gathering frameworks against threat groups by assessing technologies like …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 22–29 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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Overview of Ionic Polarization: A Model Based Novel Approach
Abstract: This study presents a comprehensive analysis of ionic polarization through a novel model-based approach that integrates theoretical, computational, and experimental methodologies. Ionic polarization, which significantly influences the dielectric properties of materials, is examined through the lens of the Clausius-Mossotti equation and the Debye relaxation model, providing a theoretical framework for understanding the relationship between ionic displacement and dielectric behavior. To explore ionic displacement and polarization at the atomic level, advanced …
Published in International Journal of Cheminformatics · Vol. 2, Issue 2, 2024 · pp. 18–25 Read article
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Implementing Theory ofConstraints in an Indian SME: A Bearing Rings Manufacturing Machine Shop
Abstract: The Goal by Goldratt and Cox (1984) inspiring study, ‘Theory of Constraints’ has merged from simple production scheduling technique into management philosophy with best practices in profit optimization in operations management. This research work presents a case study of ‘Theory of Constraints’ in an Indian SME in a bearing races manufacturing machine shop. Machine shop is equipped with state of the art with CNC turning machines. In this machine shop, …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 31–40 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Interior Design for Disaster Resilience
Abstract: In the age of heightening environment actuated calamities and the thriving intricacy of metropolitan scenes, the basic to implant catastrophe flexibility inside plan resounds with remarkable criticalness. This examination paper embraces a general odyssey, diving into the complicated interchange between inside plan and catastrophe flexibility inside the constructed climate. Drawing upon a tremendous embroidery of insightful writing, exact investigations, and genuine models, the paper fastidiously disentangles the multi-layered methodologies, developments, …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 01–15 Read article
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A Study on the Ethical Implications and Data Privacy Challenges in the Age of Artificial Intelligence
Abstract: The fast adoption of Artificial Intelligence (AI) in areas like education, business, and everyday life comes with both tectonic and important ethical and data privacy issues. This paper examines the principle-practice divide between the ideals of the ethics as they are set and applied in the realities of AI implementation. The study is based on a mixed-methodology design, comprising of a quantitative survey of 52 participants and a qualitative study …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 Read article
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Reducing the Uncertainty of Marine Accidents Failure Rate in Harsh Environment; Using Bayesian Theory
Abstract: The interest in arctic activities is strong, but has not led to significant quantifying analysis over the fact of finding rescannable failure rate. To attract investors and promote the development of a marine industry, a clear concept of project risk is paramount; in particular, issues relating to human role in operation are critical. In the public domain, reliability of information is often scarce or inappropriate for such environment. Also, an …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 30–39 Read article
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Power Factor Correction Using Parallel Boost Converter
Abstract: Power factor, the ratio between the active or average power and the apparent power forms a very essential parameter of the power system. It is indicative of how effectively the active power of the system has been utilized. With rapid development in power semiconductor devices, the usage of power electronic systems has expanded to a new and wide application range that include residential, commercial, aerospace and many others. Power electronic …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 71–88 Read article
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A GIS and MCDA Framework for Land Suitability Analysis in Sustainable Agriculture
Abstract: This study examines land suitability for sustainable agriculture by integrating Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) as tools to optimize agricultural planning. Sustainable agricultural practices are increasingly critical to meet global food demands without depleting essential land resources. This research focuses on assessing specific parameters that determine the agricultural viability of land, including soil characteristics, topography, climatic conditions, and water availability. These criteria are integral to understanding …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 30–34 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article