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953 articles for “Generative AI”
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A Pragmatic Approach of Managing Maximum Power Demand with Generator Control Mechanism Using PIC Microcontroller
Abstract: Maximum power demand management is an embedded based project which may be enforced in industries wherever quantity of active load on the idea of critical and non-critical have to be monitored and controlled. Industries are required to use a private controller to dominate these individual parameters. The aim of this project is to use one controller for distributing power from multiple feeders in sequence, just in case of load overflow …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 11–18 Read article
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ConnectED-AI: Connecting Education with Artificial Intelligence
Abstract: In a rapidly evolving educational landscape, the role of technology and artificial intelligence (AI) in enhancing learning experiences has gained immense importance. The “ConnectED-AI” project represents a pioneering effort to leverage AI to empower students with personalized and effective educational resources. This report provides an overview of the “ConnectED-AI” project, which is designed to address the diverse and dynamic learning needs of students. Our project aims to connect students with …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 36–50 Read article
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Polymer Matrix-Based High-Performance Thermoplastic Composites for Automotive Applications: Design, Characterization, and Interface Behavior
Abstract: The study emphasizes the role of high-performance thermoplastic polymer matrices such as PEEK, PPS, and PA6, selected for their superior thermal stability, mechanical strength, and recyclability in automotive environments. The expanded usage of electric vehicles (EVs) and self-driving transportation creates a demand for advanced materials which are weight-conscious yet high in strength relative to their weight, impact-resistant yet still being environmentally friendly. This study aims to create and define fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 216–237 Read article
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SUSTAINABLE MEMBRANE FABRICATION USING GREEN CHEMISTRY PRINCIPLES: A COMPREHENSIVE REVIEW OF MICROWAVE IRRADIATION, SONOCHEMICAL, AND CONTINUOUS FLOW METHODOLOGIES
Abstract: Membrane-based separation technologies have emerged as indispensable tools in water purification, biomedical engineering, pharmaceutical processing, and environmental protection. However, conventional membrane fabrication processes often rely on hazardous organic solvents, energy– intensive steps, and environmentally taxing conditions. In response to increasing global emphasis on sustainability and regulatory pressures, green chemistry strategies have gained attention for enabling safer, energy-efficient, and eco-friendly membrane production. This review provides a comprehensive and structured analysis of …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 8–24 Read article
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Impacts of Climate Change and Anthropogenic Stressors on Marine Ecosystems: A Comparative Study of Coral Reefs, Kelp Forests, and Arctic Fjords
Abstract: The accelerating impacts of climate change and human activities are profoundly reshaping marine ecosystems, threatening biodiversity, and altering trophic dynamics. This study synthesizes recent research on the responses of marine flora and fauna to temperature fluctuations, ocean acidification, pollution, and overfishing, highlighting the cascading effects on primary production, nutrient cycling, and ecosystem resilience. Using a combination of field surveys, remote sensing data, and meta-analytical approaches, we quantified biodiversity shifts across …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 17–24 Read article
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RF Energy Harvesting Techniques for Wireless Sensor Networks
Abstract: In contemporary applications like environmental monitoring, healthcare systems, industrial automation, agriculture, military surveillance, and smart cities, Wireless Sensor Networks (WSNs) are crucial. However, the limited battery life of sensor nodes remains a major challenge because many sensor devices are deployed in remote or difficult-to-access locations. Frequent battery replacement or recharging increases maintenance cost, reduces network reliability, and limits long-term operation. In contemporary applications like environmental monitoring, healthcare systems, industrial automation, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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COMPARATIVE ASSESSMENT OF FIRE RESISTIVITY OF WALLING MATERIALS IN ONITSHA MARKETS IN NIGERIA
Abstract: Nigeria has been facing the problem of frequent fire outbreaks in markets and they are very regular in Onitsha markets in Anambra State. To minimise this problem, a research was conducted on the three major markets in Onitsha with the aim of comparatively assessing the fire resistivity of their walling materials, so as to generate guidelines for designing walls of market buildings in Nigeria. The research employed desktop study as …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 3, 2022 · pp. 20–25 Read article
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A Comparative Study on Particle Swarm Optimization for Transmission Congestion Management
Abstract: This research aims to propose solution to the issue of transmission congestion management based on optimal generation rescheduling using different variants of particle swarm optimization (PSO). In deregulated electricity market era, congestion management plays an essential role to accommodate all transactions within reliable system operations. Intending to reduce the congestion cost, optimum numbers of generators are selected based on generator sensitivity factor (GSF) to perform active power generation rescheduling. The …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 86–93 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Temperature Characteristics of Semi-Transparent Photovoltaic Module in a ventilated double pane window system
Abstract: This work presents the analysis of surface temperature characteristics of Semi-Transparent Solar Photovoltaic (STSPV) module integrated double pane window systems. The four systems are investigated with three types of air ventilation arrangements and a non-ventilation provision. The whole building simulation software EnrgyPlus and WINDOW 7.3 have been used to generate and analyze the required data. The focal points of the analysis include reduction in SPV module temperature and maintenance of …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–10 Read article
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Optical properties of Carbon quantum dots for AI enhanced flexible bioelectronics and nanomedicine
Abstract: Carbon nanodots are the emerging nanomaterials of 20 th century. Carbon nanodots is the family of carbon based material with distinguished bio-physical properties. In this paper, the optical properties of carbon nanodots are presented. One of the developments Nanoscale physics and nanotechnology is the ability of converting optical signals into meaning full information. This innovation is accelerated and improved by incorporating nanoscale materials including carbon quantum dot, carbon nanotube, and …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 19–30 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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QSAR Modeling Techniques A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Microsphere-Based Drug Delivery: A Critical Review of Innovations and Applications
Abstract: Microspheres have emerged as a revolutionary approach in pharmaceutical sciences, offering controlled and targeted drug delivery with improved bioavailability, stability, and patient compliance. These spherical carriers, ranging from nanometers to micrometers in size, can encapsulate both hydrophilic and hydrophobic drugs, enabling sustained and site-specific release. The development of microspheres has been significantly driven by the need to enhance drug efficacy while minimizing systemic side effects. This review provides a comprehensive …
Published in Trends in Drug Delivery · Vol. 12, Issue 2, 2025 · pp. 52–59 Read article
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Solid Waste Management System in Pabna Municipality of Bangladesh: A Case Study
Abstract: The increasing quantity of solid waste is a growing environmental problem in many developing countries like Bangladesh. Solid waste is indiscriminately dumped on roadsides, near dustbins and into open drains thus leading to serious health risk and degradation of living environment for people of most cities like Pabna. This paper presents the existing solid waste management system of Pabna municipality. Primary data were collected from householders and waste workers through …
Published in Recent Trends in Civil Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 18–24 Read article
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Walking into the future: Energy Harvesting from Foot Fall
Abstract: The rapid depletion of non-renewable energy resources and the rising demand for sustainable alternatives have led to the exploration of innovative energy harvesting technologies. One such approach is harnessing the untapped mechanical energy produced by human footfalls in crowded public areas. This project presents a novel method of electricity generation using a flywheel-based mechanical system that captures and converts footstep energy into electrical energy. The system is designed to be …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 28–34 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Determination of fire Resistivity of Door and Window Materials at Portharcourt Markets in Nigeria
Abstract: The persistence of fire outbreaks in markets is a problem in Nigeria and the repetition of this problem is very frequent at Port Harcourt in Rivers State. To curtail this problem, research was made on the three major markets in Port Harcourt with the aim of determining the fire resistivity of their door and window materials, in order to generate guidelines for designing doors and windows of market buildings in …
Published in International Journal of Architectural Design and Planning · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
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Hybrid Material Systems for Flexible Electronics Electro-Mechanical Performance and Future Prospects
Abstract: Flexible electronics are transforming the landscape of modern electronic systems, enabling devices that are lightweight, stretchable, and adaptable to complex surfaces. These technologies are particularly impactful in applications such as wearable health monitors, soft robotics, energy harvesting systems, and implantable biomedical devices. At the heart of this evolution are hybrid material systems—engineered composites that combine organic polymers and inorganic nanomaterials to achieve synergistic electro-mechanical properties. These materials address the limitations …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 7–12 Read article
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The Safety of Dental X-ray Machine against the Deoxyribonucleic Acid (DNA): In Vitro Model Explores the Effects of Chlorine Free Radical, Duration of Exposure and the Doses of Irradiation
Abstract: Background: Patients attended to the dental clinics are referred to X-ray which may arise the possibility of adverse reactions upon oral mucosa. X-ray-induced oral mucosa damage is related to the generation of the free radicals in the aqueous media of the cells. Objectives: This study aimed to clarify the safety of dental X-ray exposure by utilizing an in vitro experimental model of calf-thymus double strands DNA (ctdsDNA) molecule exposed to …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 2, 2019 · pp. 23–28 Read article