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1143 articles for “research performance”
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Evaluation of Indirect Tensile Strength and Unconfined Compressive Strength of Cement Treated Granular Subbase with Copper Slag
Abstract: This study investigates the mechanical properties of Cement Treated Granular Subbase (CTGSB) with the inclusion of copper slag as a partial replacement material. The research focuses on evaluating the Indirect Tensile Strength (ITS) and Unconfined Compressive Strength (UCS) to assess the material's suitability for road construction. Various mix proportions of copper slag were analyzed to determine their effect on strength development. The results revealed that the ITS increased from 0.79 …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 22–26 Read article
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Heterocyclic Compounds in Thin Film Coatings: A Review on Anticorrosion and Antimicrobial Properties.
Abstract: Heterocyclic compounds have gained significant attention in thin film coatings due to their exceptional chemical versatility and functional properties. These compounds, characterized by the presence of heteroatoms in their ring structures, play a crucial role in enhancing the anticorrosion and antimicrobial performance of protective coatings. This review explores the recent advancements in the application of heterocyclic compounds for corrosion resistance and microbial inhibition, emphasizing their mechanisms of action, effectiveness, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 16–21 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Research on Synchronous Generators AC Excitation Regulation Control System
Abstract: Based on various methods to supply excitation power to the synchronous generator it is categorized in three different types of excitation systems for synchronous motor. The first one is DC excitation system, second is AC excitation system and third one is static excitation system. The increasing size of contemporary power systems ensures system dependability and stability. A better supply of power is vital and has a big influence on improving …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 10–16 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Investigative Study of Adaptive Fault Tolerance in Optical Networks
Abstract: Optical networks have become the backbone of modern telecommunications infrastructure, enabling high-speed data transmission across global networks. However, these networks face significant reliability challenges due to component failures, signal degradation, and environmental factors. This investigative study examines adaptive fault tolerance mechanisms in optical networks, focusing on emerging technologies and methodologies that enhance network resilience. The research analyzes various fault detection techniques, including machine learning-based approaches, self-healing protocols, and dynamic reconfiguration …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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AI-Powered ECG Prediction System for Detecting Cardiovascular Disease
Abstract: The proposed AI-powered CardioSmart Analyzer, an electrocardiogram (ECG) prediction system, presents an innovative and scientifically rigorous approach to the real-time automated analysis of ECG signals for diagnosing various heart conditions. This research focused on building a predictive model to identify cardiovascular diseases (CVD) using ECG data. A dataset comprising 2,840 12-lead ECG recordings was gathered from medical facilities in Gazipur, Bangladesh, over the period from June to August 2024. The …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 51–85 Read article
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Interfacial Engineering of Carbon Fiber/Epoxy Laminates Using Functionalized Graphene Nanoplatelets: Experimental and Numerical Study
Abstract: Current research work studies the influence of amines(–NH₂) and carboxyl(–COOH) functionalized graphene nanoplatelets on the mechanical and thermomechanical behavior of unidirectional hybrid composite. Composites having different graphene concentration from 0 to 0.7 wt% were fabricated, characterized and analyzed for multiple testing - tensile testing, dynamic mechanical analysis (DMA) and Fourier transform infrared spectroscopy (FTIR). Tensile testing indicates better elastic modulus and tensile strength due to efficient load transfer between nanoparticles …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 61–77 Read article
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Exploring the Viability and Implications of Quantum Communication in 6G Networks
Abstract: The development of telecommunication systems has brought us to the era of 6G, characterized by remarkable connectivity, speed and performance achievements. This article investigates the fusion of quantum communication into the architecture of 6G networks as a new approach to achieving security and efficiency. Using quantum mechanics principles, such as superposition and entanglement, quantum communication allows bloodless encryption and secure data transmission. The theoretical frameworks and quantum networks for 6G …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 01–14 Read article
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Enhancing Sustainability and Safety in India's Process Industry Through Targeted Innovations
Abstract: The process industry operates within a highly intricate and high-risk environment, necessitating well-structured strategies to safeguard workers, maintain safety standards, and preserve environmental integrity. This study explores the impact of diverse safety interventions designed to enhance health, safety, and environmental performance. It evaluates multiple approaches, including engineering solutions, procedural controls, protective gear, and behavioral adjustments, aimed at mitigating risks such as chemical spills, fires, explosions, equipment failures, and occupational health …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article
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A Comprehensive Review of Biodegradable Polymers in Sustainable Packaging Applications
Abstract: The widespread use of synthetic plastics poses significant environmental challenges due to their durability and dependence on non-renewable resources. Biodegradable plastics, derived from renewable biological sources, offer a sustainable alternative that can mitigate waste disposal issues and environmental pollution. This paper examines the factors influencing the suitability of bioplastics for various packaging applications and discusses emerging techniques to enhance their properties. Regarding packaging applications in particular, biodegradable plastics offer a …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 1, 2024 · pp. 28–37 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Enhancing Interview Preparedness: Development of A Comprehensive AI-Driven Mock Interview System
Abstract: In the contemporary era of virtual interviews, the need for a comprehensive system to prepare users for online interviews is imperative. Mock interviews serve as invaluable tools for enhancing confidence and communication skills, ultimately improving performance. This paper introduces a groundbreaking AI-Driven Mock Interview System (MIS) fortified with cutting-edge Natural Language Processing (NLP) methodologies, specifically targeting syntax and semantic analysis. The MIS integrates a robust JSON-based question- answer repository spanning …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 19–25 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Adaptive Routing Protocol to Optimize the Quality of Service of MANET Using Neural Network
Abstract: A MANET is a group of mobile nodes that create a temporary network without relying on centralized administration or standard supporting devices, often functioning as a conventional network. These dynamic environments present significant challenges for traditional routing and switching protocols, particularly in delivering Quality of Service (QoS) benchmarks such as bandwidth, latency, packet delivery ratio, and robustness. This study proposes an Adaptive Routing Protocol (ARP) leveraging Neural Network (NN) techniques …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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Environmental implications of Chitosan nanostructures.
Abstract: Chitosan (CS), as a biopolymer, has unrivalled chemical and mechanical modification capabilities to develop novel characteristics, functions, and applications, particularly in the manufacture of cutting-edge membrane adsorbents. Membrane adsorbents utilizing carbon starch (CS) have emerged as a viable and efficient engineering instrument for eliminating diverse pollutants from aquatic settings, including heavy metals and dyes. To date, much study has been directed towards improving the adsorptive characteristics, permeability, physicochemical stability, and …
Published in International Journal of Antibiotics · Vol. 1, Issue 1, 2024 · pp. 42–58 Read article
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Experimental Investigation of OPC Concrete with Incorporation of Glass Powder as Partial Substituent Material.
Abstract: This study presents an experimental survey aimed at evaluating the viability of incorporating glass powder (GP) as a partial substitute for cement in concrete matrix. The research focuses on assessing the effect of this sustainable alternative in concrete by investigating the various properties of fresh concrete such as workability, mechanical and durability aspects. Specimens were prepared with GP replacement to cement at 5%, 10%, 15%, and 20% levels, with comparative …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1058–1068 Read article
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Polymer Electrolytes for Flexible Energy Storage
Abstract: The research explores polymer electrolytes as promising materials for flexible energy storage applications, driven by the growing demand for wearable and portable electronics. Polymer electrolytes, including solid, gel, and composite types, offer key advantages such as mechanical flexibility, lightweight design, and improved safety over traditional liquid electrolytes. This study reviews recent developments in materials like polyethylene oxide (PEO), polyvinylidene fluoride (PVDF), and ionic liquid-based systems, focusing on their ionic conductivity, …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 27–35 Read article
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Social Media Usage Among Youth in Punjab: Platform Preferences, Usage Habits, and Academic Impact
Abstract: Background: The role of social media in daily life and communication activities continues to grow, especially among young people. Given the shift towards more social interaction and engagement online, it is important to look at the preferences of the platforms, their habits of usage, and how they relate with academic engagement. This research study analyzes the social media utilization patterns of youth residing in Punjab, India with the aim of …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 21–30 Read article
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Evaluating Chassis Designs for Gesture-Driven Robots: A Study of Iron, Acrylic, and 3D Printed Solutions
Abstract: Gesture-driven robotic systems are becoming increasingly relevant in applications such as assistive technology, industrial automation, and interactive systems. The choice of chassis material plays a crucial role in determining the robot's mechanical strength, weight, and ease of fabrication. This study systematically evaluates three chassis materials—iron, acrylic, and 3D printed polymers—to determine their suitability for gesture-controlled robots. A standardized robotic configuration, including two rear motors, two front dummy axles, an L298N …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 686–692 Read article