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1194 articles for “performance analysis”
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Physiotherapeutic Strategies to Enhance Throwing Accuracy in Cricket Players
Abstract: Background: Throwing accuracy is a crucial skill for cricket players, impacting both individual performance and team success. Physiotherapeutic strategies can enhance throwing mechanics, strength, and flexibility, leading to improved accuracy. Objectives: This study aims to outline effective physiotherapeutic interventions that optimize throwing accuracy in cricket players. Methods: A comprehensive review of current literature and practices was conducted with 3 articles found through PubMed, Google Scholar & Research Gate year range …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 30–34 Read article
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A Review on Parametric Optimization of WEDM Technique for OHNS Steel
Abstract: In this study, the Wire Electrical Discharge Machining (WEDM) process for OHNS (Oil Hardened Non-Shrinking) steel, a high-performance material frequently used in the production of dies, punches, and precision tooling components, is optimized parametrically and validated experimentally. A continuously moving wire electrode and a sequence of electrical discharges are used in WEDM, a non-traditional machining method, to erode material and produce intricate and precise profiles, particularly in materials that are …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 29–35 Read article
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Dynamic Mechanical Analysis of Carbon Fiber Reinforced Polymer Composites
Abstract: This study investigates the thermal decomposition and mechanical properties of Fiber-Reinforced Polymer Composites (FRPCs) using Dynamic Mechanical Analysis (DMA). The research focuses on improving the recycling and recovery process of Carbon Fiber-Reinforced Polymers (CFRPs), addressing environmental concerns regarding their disposal. By analyzing the effects of different heating rates (5°C and 10°C per minute) and atmospheric conditions (nitrogen, oxygen, and a combination of both), the study identifies optimal parameters for maximizing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 386–393 Read article
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Comparative Analysis on Concrete Strength Using Various Sizes of Aggregates and Combined Gradation
Abstract: This research delves into the effect of using various single coarse aggregate sizes and combinations of such by specific proportions. A thorough examination involving control specimens of 12mm, 20mm, and 25mm aggregates sizes, with combining proportions in the ratios – 5/8:3/8, 1/2:1/2, 3/8:5/8 have been conducted, shedding light on critical patterns that dictate concrete performance. The fine aggregate was properly zoned from the preliminary test. The design mix was calculated …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 29–36 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
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Exploring the Influence of Colors on Primary School Learning Environments: A Psychophysiological Perspective
Abstract: Primary schools are thought of as a child's first educational experiences and should be planned with a supportive learning environment that supports the desired learning goals. This study's primary goal is to investigate how colors, a significant visual component of design, affect a child's psychophysiological and behavioural characteristics. The impact of prolonged exposure to a monochrome classroom on primary education is examined in this study. Depending on how color is …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 01–23 Read article
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Relationship between Socio-Economic Status and New Word Learning
Abstract: New word learning refers to the process of learning of novel words which are not in the vocabulary of the person and it varies as a function of many potent variables. Socio economic status is one of the major variables believed to have a significant effect on new word learning. The aim of the current study to investigate if new word learning varies as a function of socio-economic status. 74 …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 19–24 Read article
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Digital Voting System Using Blockchain
Abstract: The advent of blockchain technology has ushered in a new era of secure, transparent, and decentralized systems, providing a promising foundation for various applications, including electronic voting (e-voting). This report examines the development and deployment of a blockchain-based e-voting system designed to tackle the ongoing issues of security, transparency, and voter privacy in elections. The system utilizes blockchain's core features, including immutability, decentralization, and cryptographic security, to establish a secure …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 8–14 Read article
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Polymer Nanocomposites and Functional Materials for Lithium-Ion Battery Supercapacitor Hybrid Energy Storage Systems: Materials, Interfaces, and Performance Perspectives
Abstract: The growing need for high-performance energy storage solutions in electric vehicles, renewable energy applications, portable electronics, and other sectors has accelerated research and development efforts in Lithium-Ion Battery–Supercapacitor Hybrid Energy Storage Systems (HESS). By combining the high energy density of lithium-ion batteries with the high power density and fast charge/discharge characteristics of supercapacitors, HESS offers a promising approach to meeting diverse energy storage requirements. Nevertheless, several critical challenges remain that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 96–113 Read article
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Experimental analysis of wind turbine blade (HAWT) with recycled carpet waste polymer composite material
Abstract: The term "carpet" is often used interchangeably with "rug," but there is a technical distinction. Rugs are generally smaller and can be easily moved, while carpets are typically larger and cover a significant portion of the floor. Carpets are commonly used to enhance the comfort of indoor spaces, provide insulation, and contribute to the overall design and atmosphere of a room. Polymer composite materials also known as polymer matrix composites …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 259–265 Read article
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Comparative Analysis of 3D-Printed and Molded Shape-Stabilized Phase Change Composites
Abstract: Thermal energy storage (TES) has become essential for efficiently storing and utilizing thermal energy across applications like industrial heating, power plants, batteries, medical devices, food preservation, and aerospace technology. Because of their high energy density, affordability, and environmental friendliness, phase change materials, or PCMs, are employed extensively. However, challenges like poor thermal conductivity and leakage limit their performance. To address these issues, 3D printing has emerged as a powerful tool …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 184–192 Read article
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Plant Disease Detection Using Machine Learning
Abstract: Plant diseases significantly threaten global crop yields and affect both nutritional safety and farmer income. Accurate and early detection of plant diseases is essential for effective intervention and treatment. In this study, we used the CNN model (convolutional neural network) to explore a deep learning-based approach for plant disease classification. The model was trained and evaluated on a large dataset encompassing 38 different classes of plant disease, including healthy leaves. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 07–19 Read article
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Development of Self-Healing Circuit Boards Using Shape Memory Polymer Composites
Abstract: This study investigates the influence of temperature, humidity, and nanofiller type on the electrical and structural performance of advanced polymer nanocomposites for self-healing circuit applications. Particular attention was given to conductivity retention and the morphological behavior of carbon nanotubes (CNTs), graphene, and silver nanoparticles (AgNPs). Results show that conductivity decreased under elevated thermal–humidity conditions, reflecting the role of environmental stress in material degradation. Among the tested systems, AgNP-based composites achieved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 746–770 Read article
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Review paper on concrete mix design optimization using machine learning based algorithm
Abstract: Concrete is an essential part of most construction works in civil engineering. The mix design of concrete is usually specified in terms of prescription or performance-based approach. One of the most important procedures is proportioning the concrete mix, which requires taking several safety precautions to get the proper amounts of elements like cement, aggregate, water, and admixtures. The current study offers a thorough analysis of the Artificial Neural Networks (ANN) …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 311–320 Read article
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Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques
Abstract: In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 31–38 Read article
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Combustion Synthesis and Comprehensive Characterization of Pure and Ni-Doped CuFe₂O₄ Nanoparticles for Functional Composite Applications
Abstract: The CuFe2-xNixO4 (x = 0, 0.1, 0.3, and 0.5) nanoparticles were synthesized using a combustion method and comprehensively characterized to understand their suitability for polymer-based composite applications. X-ray diffraction confirmed the formation of a single-phase spinel ferrite structure with crystallite sizes of 20–30 nm. Energy-dispersive X-ray spectroscopy verified the successful incorporation of Ni ions into the CuFe₂O₄ lattice, while FE-SEM analysis revealed uniformly dispersed nanoscale particles desirable for composite reinforcement. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1–11 Read article
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Turning the Properties of Wastes Paper-Derived Cellulose Nanocrystals for Enhanced Erythromycin Adsorption
Abstract: This study explores the modification, characterization, and adsorption performance of waste paper-derived cellulose nanocrystals (CNCs) for the removal of erythromycin from aqueous solutions. CNCs were modified using organic acid, inorganic acid, and base treatments, and their structural changes were evaluated using FTIR, XRD, and BET analysis. FTIR confirmed the introduction of carboxyl and hydroxyl groups in acid-treated CNCs and deprotonation effects in base-treated CNCs. XRD analysis revealed that organic acid …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 1–24 Read article
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AI Voice Detection Tool
Abstract: In today’s digital era, distinguishing between AI-generated and human voices is more important than ever. This project introduces an AI-based voice detection system designed to accurately identify synthetic voices, ensuring security and authenticity across various applications like cybersecurity, media verification, and fraud prevention.Our system works by analyzing incoming audio samples and comparing them against a diverse database of both AI-generated and real human voices. Using advanced machine learning and signal …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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In-Situ Polymerized GO/PANI Composites: Structural Evolution, Optical Modulation, and NH₃ Sensing at Room Temperature
Abstract: Graphene oxide (GO)/polyaniline (PANI) composites with varying PANI contents (20, 40, and 60 wt%) were synthesized via in-situ oxidative polymerization and systematically investigated for their structural, morphological, optical, and gas-sensing properties. X-ray diffraction (XRD) confirmed a progressive increase in interlayer spacing and partial exfoliation of GO layers with increasing PANI content, indicating intercalation-assisted hybridization. Fourier transform infrared (FTIR) spectroscopy revealed the characteristic vibrational bands of both constituents and confirmed strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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MIRDcalc & OLINDA/EXM Dosimetry Software Analysis by SPECT/CT Scan Data of Lu-177 DOTATATE Radionuclide Therapy of NET Patients
Abstract: Accurate dosimetry is essential in nuclear medicine for optimizing radionuclide therapies and ensuring patient safety. In Radiopharmaceutical dosimetry the Medical Internal Radiation Dosimetry (MIRD)Society is the pioneer in organ-level dosimetry providing the fundamental basis for commonly used clinical and research dosimetry software like MIRDOSE and OLINDA/EXM. Recently, in MIRD Pamphlet No. 28, Part 1, the MIRD committee of the Society of Nuclear Medicine and Medical Imaging presented a new Software …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 48–63 Read article