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433 articles for “Experimental research”
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Enhancing Mechanical Properties by Parameter Optimization in Fiber and Particle Reinforced Composites
Abstract: This research focuses on optimizing the mechanical and thermal properties of hybrid fiber and particle-reinforced composites through systematic parameter optimization using the Taguchi method and Grey Relational Analysis (GRA). Composites were fabricated using varying fiber volume fractions (20%, 30%, and 40%), particle sizes (20 μm, 60 μm, and 100 μm), and curing temperatures (60°C, 80°C, and 100°C) in a 3-factor, 3-level experimental design. Key properties such as tensile strength, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 75–85 Read article
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Mechanical and Sustainable Enhancement of Epoxy Composites using Tamarind Seed Powder
Abstract: The investigation examines how tamarind seed powder affects epoxy-based materials for the development of waste-based useful products. The research examines the mechanical behavior of epoxy resin composites which contain tamarind seed powder in increasing percentages spanning from 10% to 40%. The team utilized the hand layup method to produce the composites which then fulfilled the ASTM guidelines for specimen fabrication for mechanical tests. The study examined fundamental mechanical parameters by …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 797–806 Read article
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Cyber-Secure IoT Framework for Monitoring Fiber-Reinforced Polymer Composites Using Embedded Sensors
Abstract: The present research paper suggests a cyber-safe Internet of Things system in real-time monitoring of fiber-reinforced polymer composites with inbuilt sensors. It is aimed at enhancing structural health maintenance, using sensual, intelligent analysis, and data protection in the same platform. Multi-layer architecture An embedded sensor, signal processing, anomaly detection and lightweight layer of cyber-security are developed. Experimental validation is done under controlled conditions and the performance is measured by these …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 434–458 Read article
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Identifying and Mitigating Chemical Hazards Through Hazard Identification and Risk Assessment Using Failure Mode and Effects Analysis (FMEA)
Abstract: Chemical exposure represents a significant occupational health and safety concern in the chemical industry. Effectively addressing these hazards requires teamwork among various occupational health and safety experts, such as general OHS professionals, occupational hygienists, and occupational health practitioners. This research focuses on analyzing hazards and developing control measures for industrial chemicals, evaluating their toxicity, and using these assessments in regulatory decision making. It starts by addressing the availability of toxicological …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 52–62 Read article
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Design and Reliability Analysis of Polymer Pervious Concrete Mix for Preparation of Paver Block
Abstract: Porous concrete is a specially designed kind of concrete featuring high water porosity, allowing water to readily move through the already present interconnecting vast porous structures. The present experimental study emphasized on the production of permeable concrete with a lower Portland cement and recycled aggregate aggregates building environmentally friendly permeable pavements. The literature review suggested in most of the studies the use of single size of aggregate in the pervious …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 8–23 Read article
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Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver
Abstract: As we are growing in technology, more technologically skilled persons are needed in industry. They all often rely on programming in their daily work, and when some doubts arise, they seek help from teachers to LLMs like GPT to Deepseek. However, when errors arise, then comes hectic part to troubleshoot and resolve the error. Usually, people seek help from some LLMs like GPT, or Deepseek for the solution; they give …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 35–42 Read article
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Study of Efficient HVDC Boost Converters: Design Challenges and Solutions
Abstract: The boost converter is a fundamental circuit topology in power electronics, widely used for voltage step-up applications. This article explores the design principles, operational characteristics, and performance analysis of boost converters. It delves into key components such as the power switch, inductor, capacitor, and control circuitry, elucidating their roles in achieving efficient voltage conversion. The use of a high voltage direct current (HVDC) boost converter for bug zapper purposes is …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 42–48 Read article
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Developing Design Sense in First-Year Architecture Students: A Pedagogical Approach to Basic Design
Abstract: This study explores the pedagogical significance of Basic Design Studios in shaping the foundational competencies of first-year architecture students. Serving as the foundation of architectural education, these studios cultivate essential skills in spatial awareness, creative thinking, and problem-solving. The research underscores how structured studio exercises, material explorations, and conceptual modeling collectively nurture an understanding of the interrelationship between space, form, and function. By emphasizing experiential and hands-on learning, students are …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 1–6 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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Mechanical Properties Investigation of Green Waste Composite Material
Abstract: Widespread accessibility and abundance of natural fibres are driving forces behind renewed focus on eco-friendly solutions. Researchers have recently begun to focus on natural fibres as reinforcement due to their many advantages over more conventional materials. Natural fibre is an attractive ecological and biodegradable alternative to most common glass fibre, synthetic reinforcement, because of its high specific and low cost mechanical capabilities. India is home to a wealth of untapped …
Published in Journal of Polymer & Composites · Vol. 11, Issue 4, 2023 · pp. 28–36 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Design and Research of Thermoelectric Energy Harvesting Methods for Instantaneous Use
Abstract: In today’s consumer-oriented market, researchers are attempting to harness energy from ambient sources for sustainable energy generation leading to reduction of dependency on conventional energy sources. Energy harvesting methods offers enormous opportunities to derive energy from our natural surroundings to directly operate self-powered devices or storing it for later use. Generating energy from our nearby environment seems to be a promising solution to address the growing concerns of powering small …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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Early Detection of Alzheimer’s Disease Using Machine Learning Techniques
Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative condition impacting a large global population. Detecting AD early is critical for timely intervention and effective management. Conventional diagnostic approaches involve cognitive assessments and neuroimaging, which are often lengthy, costly, and prone to human error. In this paper, we propose a novel approach for early detection of AD using machine learning techniques applied to multimodal data, including neuroimaging, cognitive assessments, and biomarkers. Our …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 32–43 Read article
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Hybrid DL-ML Approach for Android Malware Detection
Abstract: The widespread growth of Android malware has become a significant mobile security threat during the past few years thus requiring the development of strong detection solutions. The primary tool applied in this research for Android malware detection consists of app permissions. The main indicator in the dataset for identifying malicious and benign applications functions through displaying application permission information. The evaluation of particular permission relationships with malware behavior leads to …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 18–25 Read article
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Design and Optimization of Radial Turbines for Waste Heat Recovery Applications
Abstract: Waste heat recovery (WHR) offers a compelling way to improve sustainability and energy efficiency in several different industrial sectors. In waste heat recovery (WHR) systems, radial turbines are essential because they capture waste heat and transform it into useful mechanical or electrical energy. A thorough summary of the design and optimization concepts guiding radial turbines for WHR applications is given in this review article. After outlining the basic concepts of …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 1, Issue 2, 2023 · pp. 52–58 Read article
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Experimental Study on the Wear Mechanisms of Cutting Tools in High-Performance Machining
Abstract: Because high-performance machining (HPM) may increase output and improve product quality, it is essential for modern production. The quick wear of cutting tools under high-stress circumstances, however, presents serious difficulties that affect surface smoothness, tool life, and cost-effectiveness. Through an analysis of the impacts of cutting speed, feed rate, tool material, and cooling techniques, this work explores the wear processes impacting cutting tools in HPM. Advanced spectroscopy and microscopy procedures …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Morphological, Phenological and Yield assessment of Cosmic Yantras on Solanum lycopersicum L. and Pisum sativum L. crop plants under normal climatic conditions
Abstract: Vegetables are edible plants or parts of plants (roots, stems, leaves, flowers and seeds) that are consumed for their nutritional value. They are rich in vitamins, fiber and antioxidants. The study was conducted in cropping season (April to October 2024) to observe the comparative effect of cosmic yantras and organic manures on growth and morphology of Pisum sativum and Solanum lycopersicum under normal climatic conditions. The objective of this research …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 3, 2026 Read article
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Effectiveness of a Video-based Teaching Program on Knowledge and Attitudes Toward Stem Cell Therapy Among Nursing Students
Abstract: Integrating stem cell therapy (SCT) into healthcare necessitates adequate training for nursing students to comprehend its principles and applications. This study evaluates the efficacy of a video-assisted teaching program (VATP) in enhancing knowledge and attitudes toward SCT among nursing students. A pre-test post-test quasi-experimental design was utilized with a sample of 100 nursing students. The participants were split into experimental and control groups. The experimental group received the VATP intervention, …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 1–8 Read article
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AL6061/Al2O3-Ash Reinforced Composites: An Experimental and Statistical Study Using Ultrasonic Stir Casting
Abstract: This study presents an experimental investigation on the influence of fly ash particle size on the mechanical properties of aluminum alloy (Al6061) composites fabricated through Ultrasonic Assisted Stir Casting. Fly ash, a low-cost and low-density by-product of thermal power plants, has emerged as an effective reinforcement material due to its excellent fluidity, high filling capability, and ease of processing. It has been increasingly utilized in metal, polymer, and rubber composites …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1123–1133 Read article