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1894 articles for “High performance” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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A Review of Glass Fiber Reinforced Composite Materials - Advancements and Challenges
Abstract: The use of glass fiber reinforcement has transformed modern engineering by providing an exceptional balance of strength, lightweight characteristics, and adaptability. This comprehensive review synthesizes findings from over 150 scholarly articles to provide an in-depth analysis of glass fiber reinforcement across multiple sectors. The exploration covers its historical development, manufacturing processes, and diverse applications in aerospace, automotive, construction, marine, and renewable energy industries. Glass fiber’s exceptional strength-to-weight ratio, corrosion resistance, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 635–656 Read article
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Deep Learning-Based Alzheimer’s Disease Detection: A CNN Approach
Abstract: Alzheimer’s disease (AD) is a neurological condition that worsens with time and impairs a patient’s quality of life by causing cognitive loss. For prompt intervention and management of AD, early identification is essential. In this work, we propose a deep learning-based method for automatically classifying Alzheimer’s disease from medical imaging data using convolutional neural networks (CNNs). Our algorithm is intended to evaluate brain MRI images and detect anatomical variations suggestive …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 24–31 Read article
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Integration of Wind and Solar Energy with Fuzzy Logic Control MPPT for Grid-Connected Hybrid Renewable Power Generation
Abstract: The utilization of renewable energy sources, such as wind and solar energy, has gained significant attention due to their eco-friendly nature and sustainability. This research paper explores the mechanisms behind wind generation and its integration with solar power, focusing on the adoption of Fuzzy Logic Control (FLC) for Maximum Power Point Tracking (MPPT) in a grid-connected hybrid renewable energy system. The paper outlines the principles of wind and solar energy …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 1–19 Read article
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Styrene, Carbonate Materials to Minimize Aberration in Free Space Optical Communications
Abstract: Enhancing wireless connectivity, particularly in harsh weather circumstances, is possible through the use of polymer-based materials in Free Space Optical (FSO) communication systems. In the production of optical components like lenses, beam shapers, and protective enclosures for FSO transmitters and receivers, polymers are being used more and more because of their lightweight, affordable, and adjustable optical qualities. This study examines how well a polymer-integrated FSO link performs over 1–10 km …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 675–686 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Study of Contact Temperature During Polishing of Zinc Plate with Ultrasonic Vibration Using Single Pole Magnetic Abrasive Finishing
Abstract: The present work scrutinizes the impact of ultrasonic vibration on the contact temperature during polishing zinc plates with Single Pole Magnetic Abrasive Finishing (SPMAF). The efficacy and eminence of FMAB finishing are pointedly influenced by heat generation at the interaction point, as raised up temperatures can lead to the deprivation of abrasive elements or the bonding material inside the brush, which leads to the fading its overall effectiveness. The magnetic …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1239–1247 Read article
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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Comprehensive Review of the Fundamental and Functional Properties of Crystalline Materials
Abstract: Crystalline materials, characterized by their highly ordered atomic arrangements, serve as the backbone of modern engineering and technology. This review provides a detailed examination of their diverse properties, categorized into mechanical, thermal, electrical, and optical domains. We analyze fundamental mechanical parameters such as the elastic modulus, yield strength, and fracture toughness, alongside functional behaviors like fatigue and creep. The discussion extends to thermal transport and expansion, electrical conductivity and resistivity, …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 20–24 Read article
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DESIGN AND MANUFACTURE OF A CYCLONE SEPARATOR FOR EFFICIENT FILTRATION AT A SUGAR MILLING PLANT
Abstract: The design of a cyclone separator with its system components to achieve efficient collection of bacilli for efficient filtration of milled sugar(sucrose) is reported in this paper. Different concepts for the design of the cyclone separator were considered and subjected to performance evaluation. The design models identified for the cyclone separator were the Stairmand, Swift and ShepherdLapple models. The cyclone separator was sized based on the Shepherd Lapple design approach. …
Published in Trends in Machine design · Vol. 10, Issue 2, 2023 · pp. 1–11 Read article
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Scalable Key Management System for Wireless Sensor Networks
Abstract: AbstractThis paper is about the sympathy of the probable wireless sensor networks (WSN) application; moreover because of source margins, key supervision arrangement emerges as a demanding concern for WSNs. Individual of the foremost concern when manipulating a key supervision system method, is the network scalability. Certainly, the code of behaviour must sustain a large quantity of nodes to allow a bulky scale exploitation of the network. In this paper, we …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 36–46 Read article
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Clinical Study for Evaluation of Comprehensive Ayurvedic Management in Nicotine Use Disorder
Abstract: Substance use disorder (SUD), is a condition in which the use of one or more substances leads to a clinically significant impairment or distress. 'Substance' in this clinical study is limited to nicotine-based substances (Nicotine Use Disorder). This study evaluates the effect of Ayurvedic management on Nicotine Use Disorder. 36 Patients were registered in this study having signs and symptoms of nicotine use disorder and were treated with Ayurvedic management …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 7, Issue 2, 2020 · pp. 14–22 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Comparative Study of Reinforcement Learning Algorithms on Traffic Light Control System
Abstract: With the changing times, the need of upgraded and efficient state-of-the-art traffic light control system is truly required. How well do various state-of-the-art algorithms handle complex real-life situations, more technically speaking, how well the reward function operates and minimizes the waiting time, is the prime question of the hour. Here we have successfully employed three reinforcement learning agents-REINFORCE, D3QN and DDPG each of which can independently handle large volumes of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 33–45 Read article
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Cloud Security: A Review on Third Party Auditor
Abstract: Cloud security means providing security to user’s data. There are a lot of ways for doing this task. To make sure of the protection of users' data within the cloud, we have a tendency to propose a good, scalable and flexible cryptography mostly theme based. In depth security and performance analysis shows that the planned theme is highly economical and resilient against malicious knowledge modification attack, the planned theme not …
Published in Journal of Open Source Developments · Vol. 2, Issue 1, 2015 · pp. 20–22 Read article
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Modeling and Simulation of Spiral Plate Heat Exchanger
Abstract: The spiral-plate heat exchanger (SHE) offers efficiency in spacing and reduces heat losses. SHE’s offer high reliability, lower spaces occupancy, high heat transfer coefficient and on-line performance in many severely fouling services such as slurries. Experimental investigations were conducted in a spiral plate heat exchanger with hot water as the service fluid and cold water in different flow rates as the cold process fluid. The experiments were conducted essentially in …
Published in Journal of Thermal Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 22–29 Read article
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Performance Evaluation of Integrated UMTS-WLAN under Pervasive Environment
Abstract: The integration of wireless access networks for next generation networks provides seamless internet connectivity anywhere at any time to the mobile users. The Wireless Local Area (WLAN) provides high data rate at low cost, but for limited coverage area and Universal Mobile Telecommunication System (UMTS) is capable of providing the global coverage with in low cost. Integrated UMTS-WLAN network can be capable of providing ubiquitous connectivity and high data rate …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 24–32 Read article
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Simulation of Current Density of Oxide Layer Materials & Synthesis, Characterization of Nano Lanthanum Aluminate and Its Dielectric Analysis
Abstract: The complementary metal-oxide semiconductor (CMOS) technology is in an urge requirement of high dielectric material especially at nano level scaling to avoid quantum mechanical tunnelling and leakage current. Hence to optimize the device performance and to compare the conventional SiO2 oxide material with the selected novel high K material (LaAlO3), the SiO2 and LaAlO3 materials are atomically built in the Virtual Nano Lab – Quantum Wise version 12.8.0 software and …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 17, Issue 2, 2015 · pp. 10–14 Read article
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Rethinking Stocking Density in Broilers: Assessments of Physiological, Behavioral, and Environmental Impacts
Abstract: High stocking density in broiler production is a common practice aimed at maximizing space utilization and economic returns. However, it poses significant challenges to the performance, health, and welfare of the birds. This study explores the multifaceted impacts of elevated stocking density on broiler chickens, highlighting the physiological, behavioral, and environmental factors that deteriorate their overall well-being. Increased stocking density is associated with reduced growth rates, poor feed conversion efficiency, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 · pp. 23–32 Read article