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214 articles for “Test Methodology”
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Parametric Optimization of Aluminum Alloy 6061 Using Wire-EDM for Automotive Applications: A Taguchi-Based Approach
Abstract: Machining hard materials with complex geometries presents numerous challenges, often requiring the use of non-traditional methods such as wire Electric Discharge Machining (EDM). However, wire EDM machines operate at slow speeds, and increasing the speed can negatively impact surface finish, making it a difficult task. The ongoing research investigates the machinability study of Aluminum Alloy 6061 using wire EDM, emphasizing the optimization of process parameters to enhance machining performance and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 293–302 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Comparative Study of Reaction Time in the Individuals of Bilious and Phlegmatic Temperament
Abstract: Background and Objective: Temperament (mizaj) is a wide term in itself which encompasses all distinctive traits of an individual. Accordingly, every individual having a distinctive temperament should also possess distinctive characters as well. The objective of this study is to compare the reaction time of bilious (safrawi) and phlegmatic (balghami) temperament individuals. Methodology: This study was carried out in the Advance Instrumentation Lab, Department of Kulliyat, Ajmal Khan Tibbiya College, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 5, Issue 2, 2018 · pp. 7–14 Read article
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Multi-layer Perceptron Ensemble for Estimation of Available Transfer Capability in Deregulated Environment
Abstract: The available transfer capability (ATC) estimation problem can be considered as a unique answered puzzle to be solved with highly nonlinear complexity of power systems and the uncertain state of the energy market. To implement the open access in deregulated markets, system operator should post ATC at a small and regular interval on openly accessible network. This forces the quick computation of ATC of transmission path. In these situations, the …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 57–71 Read article
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Improving Indoor Room Air Conditioning Using PID Control
Abstract: Energy use in building air conditioning contributes significantly to power demand; therefore, in this work, we propose an improved methodology to achieve comfort conditions through PID control assistance. The project develops a mathematical model based on analytical heat transfer equations for comfort conditions by fulfilling the Fanger equation, considering environmental parameters (ambient temperature), metabolic rate, and people’s physical activity (internal heat generation) to reduce power consumption and improve energy efficiency. …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 1–21 Read article
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Realtime Life Cycle Assessment, Synthesizing Life Cycle Inventory with Business Process Management, Sustainable Growth in the Fourth Industrial Revolution
Abstract: A prevalent methodology for evaluating the ecological impacts of processes and products throughout their entire life cycle is known as Life Cycle Assessment (LCA). This approach involves scrutinizing each phase, encompassing the extraction of raw materials, manufacturing, utilization, and disposal. Nevertheless, conventional LCA methods often fail to account for the dynamic nature of industrial processes and are deficient in real-time data. The Life Cycle Inventory (LCI), a pivotal component of …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications
Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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An Analysis of Machine Learning Models for Early Cardiac Risk Stratification
Abstract: The paper shows an in-depth study of machine learning and artificial intelligence solutions to early cardiac risk stratification which has a crucial necessity because cardiovascular disease (CVD) prediction remains a significant issue that needs to be improved beyond the conventional risk score. Since CVD is the most serious disease killer in the world, claiming 17.9 million deaths every year, there is a strong need to get the most sophisticated predictive …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Unlocking the Healing Powers of Aṣl Khāliṣ (Honey): Exploring Its Functional and Therapeutic Potential
Abstract: Aṣl Khāliṣ (honey) as a natural product has grabbed the attention of researchers as a reciprocal and indispensable remedy. Honey has been used to heal both internal and external ailments for much longer than medicine has existed. Unani scholars have mentioned its action in classical literature as a nutritional agent, as well as a natural food supplement with therapeutic antibacterial, anti-inflammatory, cleansing, deobstruent, lithotryptic, and wound-healing properties. According to contemporary …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 17–23 Read article
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Study of Uncertainty Quantifications for Designing Smart Systems
Abstract: Uncertainty is an innate piece of this present reality. No two actual examinations at any point produce the very same result values and numerous significant sources of info might be obscure or immense. Uncertainty impacts practically all parts of designing displaying and plan. Engineers have long managed estimation mistakes, unsure material properties, and obscure plan request profiles by including elements of wellbeing and widely testing plans. By more profoundly getting …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 1–5 Read article
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Potable Water Quality Analysis of Akbarpura, KPK, Pakistan
Abstract: In Pakistan, supply of safe drinking water of international standard is very limited. Only around 30% population has access to piped drinking water, which has rarely been completely tested for health safety. About 70% population is drinking water of unknown quality. The only testing comes through human consumption and getting sick. This study is designed to investigate the water quality problems of Akbarpura, Khyber Pukhtunkhwa. Samples were collected from the …
Published in Recent Trends in Civil Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 19–27 Read article
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To Study the Effects of Modified Constraint Induced Movement Therapy versus Constraint Induced Movement Therapy for Young Children with Spastic Hemiplegic Cerebral Palsy-A Comparative Study
Abstract: Objectives of the study are to find out whether restraining of the uninvolved limb and use of hand techniques will help to overcome hand function and improve functional activity in spastic hemiplegic cerebral palsy. Methodology adopted is to use convenient sampling of thirty subjects divided into two groups A and B of fifteen each. Group A - Control group and Group B-Experimental group (15 patients in each group). Group A …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 2, Issue 2, 2013 · pp. 21–26 Read article