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1089 articles for “data modelling”
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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A summary continuation analysis evaluating the prevalence and predictors of diabetic retinopathy in newly diagnosed type 2 diabetic patients.
Abstract: Context: Diabetic retinopathy (DR), the leading cause of acquired blindness in adults, affects approximately 93 million people globally. It is a serious complication of type 2 diabetes, resulting from prolonged damage to the blood vessels in the retina. Although largely preventable and treatable, DR continues to be the main cause of vision loss among working-age adults and significantly impacts quality of life. While most studies on DR in Nepal have …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 · pp. 21–30 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and GPU-based architectures without centralizing sensitive data. This work proposes a parallel Adaptive Federated Learning (AFL) framework that integrates Differential Privacy and Secure Aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, and aggregation weights …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 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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LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
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Ethical AI and Data Protection in the Era of Industry 5.0
Abstract: This paper provides a comprehensive analysis of the critical intersection between Responsible AI (RAI), data privacy, and the Industry 5.0 paradigm. Industry 5.0, defined by its human-centric, sustainable, and resilient pillars, introduces a fundamental paradox: its core requirement for human-AI collaboration necessitates the collection and processing of granular human data, creating direct conflicts with emerging global data privacy and AI regulations. This research utilizes a systematic integrative review methodology, analyzing …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Medicinal Properties of Oxytenanthera abyssinica: A Narrative Review
Abstract: Oxytenanthera abyssinica, a plant local to the African landmass, has gotten a parcel of intrigued in later a long time for its conceivable restorative benefits; it has been utilized in conventional medication for decades since of its assumed mending capabilities. In spite of its long history, careful logical examination into its restorative potential is being attempted. This review paper explore into the multidimensional part of O. Abyssinica is in progressed …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 2, 2026 Read article
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Security of Cloud Computing from a Blockchain Perspective
Abstract: Originally, the foundation of the Internet was trust. There are increased threats and problems after many information disclosures. We have employed even more modern Internet-based devices in recent years. Among the primary issues raised in literature, privacy, data protection, and trust require particular consideration. In this case, a new paradigm for information security has arisen, one that is built on transparency rather than the closed, cryptic methods used in present …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 7–11 Read article
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Centre Stage of Wireless Sensors in Healthcare: Application and Remote Patient Management
Abstract: The efficiency of wireless sensors in healthcare is greatly influenced by technological progress. The capabilities of these devices have been improved by advancements in wireless communication, data analytics, and sensor technologies. Patients may wear more comfortable, smaller, and more precise modern sensors. They have the ability to track many different physiological characteristics, ranging from simple vital signs to more intricate biomarkers. Understanding the massive volumes of data produced by wireless …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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Role of Organizational Culture in Mediating AI-Induced Social Alienation: A Meta-Analysis
Abstract: The fast adoption of artificial intelligence (AI) in the workplace has raised worries about its influence on employee well-being, particularly social alienation. Social alienation is characterised by feelings of detachment and estrangement at work. It can harm job satisfaction, staff engagement, and organisational performance. Existing literature suggests that organizational culture is crucial in shaping employee experiences with AI technologies. This meta-analysis investigates how organizational culture mediates the relationship between AI …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article
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Empowering Rural Healthcare in Tamil Nadu: A Framework for Patient-Centered Telemedicine
Abstract: Rural populations in Tamil Nadu often face challenges in accessing quality healthcare due to geographic isolation, limited resources, and shortages of healthcare professionals. Telemedicine has emerged as a transformative solution, offering a promising approach to bridge these gaps. This article presents a comprehensive framework for patient-centered telemedicine aimed at empowering rural healthcare in Tamil Nadu. By focusing on chronic disease management, particularly for conditions like hypertension and diabetes, this framework …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 36–42 Read article
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Climate Change and Air Pollution Dynamics: Synergistic Effects and Mitigation Strategies
Abstract: Climate change and air pollution are deeply interlinked environmental problems that jointly exacerbate human health, ecosystem integrity, and economic well‑being. As global temperatures rise, shifts in meteorological conditions—such as increased heat, altered precipitation, and more frequent extreme weather events—modify pollutant generation, dispersion, chemical transformation, and removal processes. Meanwhile, many sources of air pollution are also sources of greenhouse gases (GHGs), giving rise to potential co‑benefits or trade‑offs when formulating mitigation …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 38–42 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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HCI: A Systematic Review of Trends, Challenges, and Future Directions
Abstract: The field of human-computer interaction (HCI), which connects people and technology, is becoming increasingly important and developing quickly. By emphasizing intuitive interaction, user-focused design, and overall system usability, it contributes to the development of more intelligent, responsive, and human-centered systems. This thorough analysis explores the many uses of HCI, such as mobile and multi-screen platforms that demand smooth, cross-device interactions and immersive settings like the Metaverse, where users interact within …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 10–16 Read article
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High-Definition Electroencephalography: A New Horizon in Neurological Pathology Research
Abstract: The advent of high-density electroencephalography (HD-EEG) has catalyzed a paradigm shift in the exploration of neurological pathologies. This editorial underscore its transformative potential in elucidating brain dynamics and refining diagnostic approaches for a spectrum of conditions, spanning from epilepsy and dementia to cognitive impairments in preterm infants. Our objective is to optimize the utility of HD-EEG by emphasizing the imperative for methodological homogenization and fostering collaborative endeavors. The remarkable spatial …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 15–21 Read article
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An Integrated Satellite and Underwater IoT Framework for Real-Time Oceanic Disaster Monitoring and Resilient Communication
Abstract: Ocean-based environmental disasters such as tsunamis and underwater earthquakes pose significant risks to human life, coastal infrastructure, and regional stability. However, traditional communication networks often collapse during such events, leading to delayed alerts and uncoordinated response efforts. This study presents an integrated framework that combines underwater Internet of Things (IoT) systems with satellite communication technologies to enable real-time oceanic disaster monitoring and reliable emergency communication. The system connects underwater sensor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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Synthesizing Policy Gaps, Sector-Specific Challenges, and Emerging Opportunities to Develop Novel Research Themes in India’s Circular Economy
Abstract: The concept of the Circular Economy represents an important shift away from the linear & take-make-dispose" model toward a regenerative system, with quite a number of aspects in which circularity is needed in India, due to recent decades of rapid industrialization and rising consumption. Despite supportive policy initiatives such as the National Resource Efficiency Policy and Extended Producer Responsibility frameworks, India's transition to CE remains fragmented. This synthesis aims to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 32–39 Read article
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article