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1970 articles for “E-R” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
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Analysis of Power Quality Disturbances in Distribution Systems with Renewable Energy Integration
Abstract: The growing integration of renewable energy sources within the electrical distribution systems has greatly altered the working dynamics of the contemporary power grids. The introduction of intermittent and nonlinear sources (solar photovoltaic and wind energy systems) leads to a wide range of power quality disturbances, however. The current paper includes the in-depth examination of the problem of power quality in the distribution systems with the integration of renewable energy. The …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Reducing Environmental Impact through Optimized Non-Renewable Resource Management: A Systematic Review of Technological Advances
Abstract: The term "optimized use of non-renewable resources" describes the prudent management and optimization of limited natural resources that are difficult to replenish or regenerate quickly. Minerals, nuclear fuels, and fossil fuels (coal, oil, and natural gas) are examples of resources that are not renewable. The abstract idea is to minimize waste, the impact on the environment, and the pace of depletion while optimizing the utility obtained from these resources. Advanced …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 12–19 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Short Review: The Expanding Role of Shape Memory Alloys in Technology and Medicine
Abstract: Shape Memory Alloys (SMAs) are a unique class of smart materials that can recover their original shape when exposed to specific stimuli, such as temperature or magnetic fields. This exceptional property, attributed to the martensitic phase transformation, has garnered significant interest in various industries. SMAs exhibit remarkable characteristics such as pseudoelasticity, high corrosion resistance, excellent biocompatibility, and superior fatigue strength, making them ideal for applications in biomedical, aerospace, automotive, and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 35–44 Read article
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The Assessment of Electric Vehicle Fire Risk Using the Failure Tree Analysis
Abstract: With the global shift toward sustainable transportation, the widespread adoption of electric vehicles (EVs) is rapidly becoming a reality, largely driven by growing environmental awareness and concerns over climate change. However, alongside this transition comes a set of emerging challenges, most notably, the increasing incidence of EV-related fire hazards, which have attracted significant public and media scrutiny. This situation highlights the urgent need for a detailed and systematic approach to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 27–38 Read article
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An Overview of Hybrid Renewable Energy Systems
Abstract: Long-term evaluation and analysis of several factors should be done to propose a full-phase power generation system based on renewable energy sources. An accurate assessment of the potentially available resources should be done like measuring solar irradiation, wind speed, etc. We are designing a hybrid system where hybridization methods entirely consist of renewable energy sources—specifically solar photovoltaic (PV), wind, and gravity systems. Wind and solar are among the popular renewable …
Published in Journal of Alternate Energy Sources & Technologies Read article
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Design and Implementation of a Real-Time ANPR-OCR Based Embedded System for Automated Vehicle Compliance Verification-Checking Valid PUC and Insurance
Abstract: With the rapid increase in vehicle ownership, ensuring adherence to traffic regulations has become essential, particularly concerning vehicle insurance and Pollution Under Control (PUC) certification. Non-compliance with these requirements can lead to financial risks, legal violations, and environmental damage. Traditional enforcement methods rely on manual inspections, which are time-consuming, inefficient, and prone to human error. To address these challenges, this paper proposes an automated system that utilizes Automatic Number Plate …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 1–7 Read article
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AI-Driven Precision Nutrition: Advancing Personalized Dietary Systems for Public Health Equity in Resource-Constrained Environments
Abstract: The dual burden of malnutrition and diet-related non-communicable diseases (NCDs) represents a growing global public health challenge, particularly in low- and middle-income countries. Traditional dietary guidelines are largely population-based and fail to account for individual variability in genetics, metabolism, lifestyle, and environmental exposure. This limitation has led to the emergence of precision nutrition, an evolving field that integrates biological data and computational intelligence to deliver personalized dietary recommendations. This paper …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Integration of 5G and Low Earth Orbit (LEO) Satellite Communication for Global Connectivity
Abstract: This integration revolutionizes global connectivity by merging 5G's urban capabilities with LEO's wilderness coverage. This research examines how LEO satellite constellations can complement terrestrial 5G networks to extend high-speed, low-latency connectivity to underserved regions including rural areas, oceans, and airspace. Recent breakthroughs in LEO satellite technology and successful demonstrations of 5G-satellite integration point to a rapidly evolving ecosystem with significant market growth potential. To fully realize the potential of advanced …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 15–32 Read article
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Recyclable Vitrimer-Matrix Carbon Fibre Composites for Aerostructures: Reprocessing Efficiency and Retention of Mechanical Performance
Abstract: To begin, carbon fiber reinforced polymers (CFRP) have become an important part of the structural loading in many modern aircraft; however, due to their permanent cross-linking in thermosets, they cannot easily be restored after being retired. Vitrimers have been proposed as a solution since their Covalent Adaptable Networks (CANs), rearranged by associative exchange, may be reshaped, welded, repaired or dissolved without damaging the CFRP fibers. This paper reviews whether the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Strategic Approaches to Sustainable Lithium Extraction: Advances in Technology, Resource Recovery, and Environmental Management
Abstract: Lithium, a critical mineral for modern technological advancements, is in high demand due to its role in the production of lithium-ion batteries, which power electric vehicles, portable electronics, and renewable energy storage solutions. This paper provides a comprehensive overview of lithium’s sources, including pegmatites, brine deposits, and sedimentary lithium minerals, while examining production, extraction methodologies, and challenges related to sustainability and environmental impact. Additionally, advancements in laser-induced breakdown spectroscopy (LIBS) …
Published in International Journal of Minerals · Vol. 1, Issue 2, 2024 · pp. 8–13 Read article
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Advancing Light Emission: A Comprehensive Review of Recent Electroluminescence Material Developments
Abstract: This paper explores the remarkable strides made in the field of electroluminescence and their profound impact on luminescence research. The emission of light because of excitation is known as luminescence. Electroluminescence, a specific form of luminescence triggered by an electric field, has emerged as a promising area of investigation. The underlying principles of luminescence and the intricate mechanisms driving electroluminescence have been examined. Furthermore, recent breakthroughs in electroluminescent materials, device …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 2, 2024 · pp. 08–16 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
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Revolutionizing Education: Harnessing The Power of AI for Unparalleled Student Learning Advancements
Abstract: In recent years, advances in AI technologies have opened new possibilities for revolutionizing the education landscape. This research work delves into the potential of AI to revolutionize education and propel student learning to unprecedented heights. The study explores the application of AI in various educational contexts and its impact on personalized learning, instructional methodologies, and overall educational outcomes. The materials used in the research encompass academic articles, case studies, and …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 18–25 Read article
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In Vivo Hypoglycemic Activity of Aqueous Leaf and Root Extracts of Macaranga Barteri Müll. Arg. (Euphorbiaceae) In Swiss Albino Mice
Abstract: Background: Macaranga barteri Müll. Arg. is a perennial plant in the family Euphorbiaceae and is used in African traditional medicine for the management of several ailments, including diabetes. Although the leaves and stem bark have been studied for various pharmacological activities, little is known about the therapeutic value of the roots. Objective: This study evaluated the in vivo hypoglycemic activity of aqueous leaf and root extracts of M. barteri in …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Temporal Shifts in Forage Quality: Stage of Maturity, Biomass Yield, Performance Matrix, and Ecosystem Responses
Abstract: Forage quality is a key determinant of livestock productivity and environmental sustainability, with its dynamics closely linked to the stage of maturity, biomass yield, and broader ecosystem interactions. This study explores the temporal shifts in forage quality throughout its growth cycle, emphasizing the effects of maturity on nutrient composition, digestibility, and overall biomass yield. The relationship between these factors and their impact on animal performance, including milk yield, growth, and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Sensors based Human Visual System: e-Retina
Abstract: This study explores the potential of bio-inspired sensor design to replicate the adaptive and highly efficient nature of the human visual system and e-retina. This study presents a novel sensor array incorporating foveated vision principles and dynamic range adaptation mechanisms. Our study demonstrates the improved performance of this system in complex visual scenes, particularly in low illumination and high-contrast scenarios. This study highlights the advantages of mimicking biological principles in …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 14–22 Read article