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1951 articles for “Techniques” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Identifying and Blocking of Non-productive Calls in Emergency Call System Using Machine Learning and IVRS Integration
Abstract: The Dial 100 emergency reaction gadget handles over 1,000,000 calls every day, with over 95% being unproductive, such as blank, machine-generated, and spoofed calls. These futile calls waste resources and put off responses to actual emergencies. This look presents a comprehensive solution integrating advanced name evaluation, system learning, and an interactive voice response system (IVRS) to filter out and prevent these calls. Our technique starts with studying incoming calls to …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
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Exploring Emerging Water Disinfection Technologies: A focus on Hydrodynamic Cavitation
Abstract: Availability of clean drinking water is an ongoing global demand. Contaminated water sources, inappropriate waste disposal, and inadequate hygiene procedures exacerbate it. These elements support the growth of pathogenic microbes like bacteria, viruses, and parasites, which cause a variety of diseases that are transmitted by water. Disinfection plays a vital role in water treatment processes by eliminating these pathogens and ensuring public health safety. Commonly used methods like Chlorination, Ozonation, …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 44–53 Read article
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Performance Enhancement of Microstrip Patch Antenna Using Metasurface
Abstract: Performance enhancement of microstrip patch antenna using metasurface provides a thorough analysis of how a metasurface integration technique might improve the performance of a microstrip patch antenna. The 4×4 array of square components metasurface measuring 51.6 × 51.6 × 3.1016 mm is merged with the microstrip patch antenna, which has dimensions A=13.5 mm, B=12 mm, and C=1.2 mm. The radiation box dimensions (100 mm × 100 mm × 55 mm), …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 20–27 Read article
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Performance Improvement of Polymer and Silicon Solar Cells Using Transition Metal Oxide Interfaces
Abstract: Fossil fuels are running out, which is contributing to greenhouse gas emissions and climate change due to the world's growing energy demand. Renewable energy, which is environmentally friendly, is crucial for balancing the demand and supply of energy in our society.The non-traditional energy source with the fastest rate of growth is solar cells, which use photovoltaic technology to convert sunlight into electrical power.Conjugated polymers and large molecules are used in …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 66–75 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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An Experimental Investigation of Machining Parameters on Aluminum Composites
Abstract: The need for a material with good mechanical, thermal, and wear resistant properties is satisfied by aluminum composite. However, the biggest obstacle to substituting it with alternative materials is the machining challenges. For this kind of hard-to-cut material, electric discharge machining is a very efficient method. Thus, using a Taguchi-based method, an attempt has been made to determine the most advantageous amount of input parameters for EDM of Al composite. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 8–13 Read article
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Deep Learning Algorithms for Medical Image Encryption to Ensure Secure Data Transfer
Abstract: Deep learning has significantly impacted various fields, including medical imaging, by offering new ways to encrypt medical images for secure data transfer. This research work examines how deep learning algorithms are used to enhance medical image security during transmission. Given the high sensitivity and privacy requirements of medical data, it’s crucial to maintain its confidentiality. Traditional encryption techniques, while reliable, often struggle with issues like scalability, computational efficiency, and the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 28–36 Read article
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Evaluating the Influence of Temperature on the Efficacy of Capparis Decidua Extract as a Corrosion Inhibitor for Aluminium in Acidic Media
Abstract: The study investigates the anti-corrosive properties of the ethanolic extract of Capparis decidua fruit on aluminum corrosion in a 2N HCl acid solution, using a weight loss technique at temperatures ranging from 303 to 343 K. At a concentration of 0.45%, the inhibition efficiency (η%) is notably high, reaching 63.15% at 303 K. The inhibitor's adsorption behavior on the aluminum surface is consistent with the Langmuir adsorption isotherm, suggesting that …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 58–65 Read article
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Renewable Solar Energy Prediction in India : 2025-2030
Abstract: As India endeavors to realize its objective of achieving 500 GW of renewable energy capacity by the year 2030, the precise forecasting of solar power generation is rendered increasingly essential. This scholarly article conducts a comprehensive review of the utilization of machine learning (ML) methodologies in the prediction of solar energy across diverse Indian states, underscoring their potential to address the complexities associated with the variability of solar irradiance. Conventional …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Causes and Measures to Control Root Rot Fungus in Mulberry Ecosystem
Abstract: Root rot is a severe plant disease caused by various soil-borne fungi, including Phytophthora sp., Pythium sp., Rhizoctonia sp., Fusarium sp., and Armillaria sp. These pathogens attack plant roots, leading to decay, stunted growth, wilting, yellowing leaves, and plant death. Root rot typically develops in waterlogged soils with poor drainage, as these conditions create an environment favorable for fungal growth. Factors such as warm temperatures, compacted soil, improper watering practices, …
Published in International Journal of Fungi · Vol. 1, Issue 2, 2024 · pp. 36–41 Read article
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Flaxseed and Diabetes Management: A Comprehensive Review of Recent Studies and Potential Mechanisms
Abstract: Diabetes mellitus, a condition characterized by chronic hyperglycemia, has become a significant global health challenge, leading to substantial morbidity and mortality rates. Dietary techniques are crucial for the effective control of diabetes, including both pharmaceutical and non-pharmacological therapies. Flaxseed (Linum usitatissimum) is one of the functional foods that has attracted a lot of interest because of its abundance of bioactive components, including lignans, dietary fiber, and alpha-linolenic acid (ALA). The …
Published in International Journal of Nutritions · Vol. 2, Issue 1, 2025 · pp. 24–32 Read article
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Study of the Properties and Destructibility of the Native and Cross-Linked Potato Starch-Filled Polymer Composites for Food Packaging Applications
Abstract: Plastic is a vital component of modern life, commonly used in daily food packaging for its convenience and durability. Plastic marketing bags are manufactured from low-density polythene (LDPE) which causes ecological inconvenience as most of the plastic components are stored in waste and underground conditions for an elongated time. Plastic is a synthetic or semi-synthetic material that does not decompose naturally, and its primary drawback is its environmental impact, prompting …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 12–23 Read article
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Synthesis of YSZ nanopowders by using PVA-metallic nitrate combustion method
Abstract: Yttria-stabilized zirconia (8YSZ) powder is widely used as a thermal barrier coatings material for various aeronautical gas turbine engine components and structures operating in high temperature environment as well as for the nozzle of solid rocket engine due to its relatively high thermal expansion coefficient, thermal reflectivity, low thermal and good corrosion resistance. The synthesis of single or composite metal oxides by combustion of metal-polyvinyl alcohol gel precursors (Me-PVA) has …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 24–32 Read article
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A Study to Assess the Effectiveness of Nursing Intervention on Respiratory Parameters Among Patients with Acute Respiratory Distress Syndrome in Selected Hospitals at Erode
Abstract: Background: Acute Respiratory Distress Syndrome (ARDS) is a frequent cause of respiratory failure in critically ill patients, characterized by the sudden development of non-cardiogenic pulmonary edema, low blood oxygen levels, and the requirement for mechanical ventilation. Objectives: To determine the Effectiveness of Nursing intervention on Respiratory Parameters among patients with Acute respiratory distress syndrome Design: Pre – Experimental design, where one group pre-test and post-test test design setting: KMCH Multi …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 3, 2024 · pp. 6–10 Read article
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Direct Determination of the Frequency-Dependent Transmission Constants of Non-Uniform Two-Port Networks
Abstract: Due to space constraints and the expansion of electricity networks, transmission lines that cross close to one another are now commonplace. Power networks also commonly install higher operational voltage lines that share transmission corridors with lower voltage lines. Overhead transmission lines are the primary method for transmitting electrical energy across vast distances. This paper presents an efficient and direct technique for identifying the four frequency-dependent ABCD transmission constants of arbitrary …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article