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339 articles for “Quality tools”
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Modernization and Digitization in Power Grid Sub-Stations– The Prime tool for Multi Objective Optimization Methods.
Abstract: All Grid Sub-stations has four sections to control, operate and protect the large gamut electrical Power for its smooth flow till to the end customer.1. Generation, Loading, Conversion and Carrier Devices: We have generators as generation device, Motors and other electrical equipment as Loading device, Transformers as conversion device and Electrical Conductors as Carrier device. On technology front in this section, we have not experienced much technological changes. Only the …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 1, 2022 · pp. 10–18 Read article
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Transforming Punjab's Education System: A Critical Analysis of Automation and Artificial Intelligence
Abstract: The rapid advancement of Artificial Intelligence (AI) and automation technologies is transforming education systems across the globe. In Punjab, one of India's leading educational regions, AI-driven tools and automated technologies are increasingly being adopted to improve teaching, learning, assessment, administration, and institutional management. This study critically examines the impact of AI and automation on Punjab's education system by exploring their opportunities, challenges, and future prospects. The research is based on …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 31–42 Read article
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Review and Opportunities for Thermal examination approaches Used to Investigate the Thermal Properties of Composite Compounds
Abstract: The use of thermal examination approach to assess the thermal quality of energy materials in “China” is concisely described. They are often used to calculate thermal stability, compatibility, and thermophysical constants, as well as to study thermal breakdown kinetics, causes, and interactions. Furthermore, a few studies focused on creativity or advancement, such as analyzing the mechanisms of topochemical reactions, assessing condensed-phase reaction kinetics by tracking the change in functional groups …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 96–106 Read article
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Reactive Strength Index as a Predictor of Jump Height and Agility in Basketball Athletes
Abstract: This study examines the relationship between the Reactive Strength Index (RSI) and specific performance metrics, namely jump height and agility, in youth basketball players. The RSI, a measure derived from drop jump testing, provides insight into an athlete’s explosive strength and reactive capabilities—essential qualities for success in basketball, where quick directional changes and reactive power are integral to performance. A cohort of forty youth athletes, comprising 20 males and 20 …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 8–13 Read article
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Analysis of Rear Suspension Geometry of an ATV
Abstract: This research presents the design and optimization of a rear suspension system specifically developed for an All-Terrain Vehicle (ATV), with the primary goal of enhancing ride quality, handling, and overall dynamic performance across diverse terrains. A key objective is to improve damping characteristics while minimizing unwanted changes in track width and wheelbase during suspension articulation. The study carefully examines critical suspension parameters, including camber angle, toe angle, and wheel travel, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 275–286 Read article
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A Method of Mesh Deformation for Flow Analysis Around Oscillating Bodies
Abstract: In general, high-speed rotating machines are subjected to complex phenomena due to various reasons, such as increased noise and strong vibration due to dynamic unbalance, which affect the dynamic motion of rotating machines and are necessarily a problem to overcome. Therefore, it is necessary to have a mathematical model to simulate it, and a strong tool to solve the constructed model. Using fluid-structure coupling techniques, which are currently a powerful …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 35–42 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Sustainable Food Packaging: Recent Advances in Biodegradable and Smart Packaging Technologies
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 59–68 Read article
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Economics of Fish Production and Marketing: A Case Study of Madhubani District in Bihar
Abstract: Fish farming is a vital source of livelihood, income, and nutritional security, especially in regions where aquaculture is embedded in local economies and culture. In India’s Mithila region (Bihar), fish (machh) holds substantial cultural, economic, and nutritional significance. This research analyzes the economics of pond-based fish production in Madhubani district, focusing on Benipatti Block, an area with high pond density. The study investigates determinants of productivity, profitability, and resource utilization, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 101–115 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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Remote Controlled Boat for Hyacinth Removal
Abstract: This research focuses on the design and production of Hyacinth infestation poses a significant ecological and economic challenge in many aquatic ecosystems, causing disruptions in water quality, biodiversity, and water transportation. To address this issue, we have developed a remote-controlled boat specifically designed for hyacinth removal. This innovative solution leverages the capabilities of autonomous watercraft, equipped with advanced sensors and a specially designed cutting mechanism, to efficiently and effectively manage …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 20–26 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Ghummakad—A Comfort Tourist Guider
Abstract: In the past few years, tourism has developed into a critical service industry. The total contribution of tourism to the GDP is around 30%. Local journeys end has to provide only their best in order to satisfy tourists. In that respect, tourist guides represent a significant part of the tourism industry, and in today’s tech era, everyone wants everything on their phone or their suitable devices. Our project is approaching …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Panorama of Technology Assisted Teaching/Learning Language Pedagogy: A Glance
Abstract: The dawn of the 21st century has heralded a new sun to empower teaching/learning experience. To impart quality in higher education, all universities are experimenting with new methods/techniques that can bring about a transitional shift from traditional classroom teaching to smart room learning experience. There has been a sudden shift from teacher centered classroom teaching to students centered classroom learning. The pivotal focus is on the learner’s self-learning. This is …
Published in Current Trends in Information Technology · Vol. 14, Issue 1, 2024 · pp. 12–17 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 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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Catalytic Activity Advancements in Organometallic Chemistry
Abstract: Organometallic chemistry is essential to catalysis and synthesis, helping to shape a wide range of chemical reactions. The study of the interactions between organic compounds and metal elements is known as organometallic chemistry. Modern synthetic chemistry and catalysis have been greatly influenced by the field of organometallic chemistry. It entails the investigation of substances that have metal-carbon bonds because they can have special catalytic and reactive qualities. Applications for these …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 2, 2023 · pp. 10–25 Read article
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Assess the Effectiveness of Progressive Muscle Relaxation Therapy on Health Status among Blood Cancer Patients Receiving Cancer Treating Medications in Selected Hospital
Abstract: Introduction: Cancer can be regarded as a group of diseases characterized by an i) abnormal growth of cells ii) ability to invade adjacent tissues and even distant organs, and iii) the eventual death of the affected patient if the tumour has progressed beyond that stage when it can be successfully removed. Cancer can occur at any site or tissue of the body and may involve any type of cells. Cancer …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 10, Issue 2, 2021 · pp. 1–20 Read article
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A GIS and MCDA Framework for Land Suitability Analysis in Sustainable Agriculture
Abstract: This study examines land suitability for sustainable agriculture by integrating Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) as tools to optimize agricultural planning. Sustainable agricultural practices are increasingly critical to meet global food demands without depleting essential land resources. This research focuses on assessing specific parameters that determine the agricultural viability of land, including soil characteristics, topography, climatic conditions, and water availability. These criteria are integral to understanding …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 30–34 Read article