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402 articles for “data processing”
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A Comprehensive Review of Metal Matrix Composites (MMCs)
Abstract: Abstract Metal Matrix Composites (MMCs) combine metallic matrices with reinforcing phases (ceramics, intermetallics, fibers, or particles) to achieve superior mechanical, thermal, and tribological properties compared with monolithic metals. This review surveys fabrication routes, reinforcement types, microstructural characteristics, mechanical and tribological behavior, machining challenges, applications across aerospace, automotive, electronics, and future directions including additive manufacturing, in-situ MMCs, and data-driven materials design. Critical challenges such as interface control, scalability, cost, and machinability …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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IoT Based Smart RFID Application in Healthcare
Abstract: The Internet of Things has become a promising technology in recent years that expands the idea of the internet and makes it more widespread, enabling smooth communication between all kinds of devices. To connect “Everything” and make it smarter, the Internet of Things plays several roles, including identification, information gathering, exchange and processing, decision-making, and security. Two important technologies that facilitate intelligent decision-making across a range of applications are cloud …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 24–29 Read article
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Implementation of Dropshipping Using Blockchain
Abstract: This research introduces a novel approach to dropshipping via integration of blockchain technology and smart contracts. Dropshipping is a business model where retailers avoid stocking products by directly fulfilling orders from wholesalers, and face challenges related to inventory management, understocking, overstocking, and financial risks attached. This also focuses on issues related to tampering of data and mishandling of products during the exit transits. Our study addresses these challenges by leveraging …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 29–34 Read article
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MODELLING OF SAW PARAMETERS AND ITS MECHANICAL PROPERTIES FOR JOINING STRUCTURAL STEELS
Abstract: Ethiopia nearly 85 per cent of people is morality depends on agriculture; the government of Ethiopia emphasis on Farm Mechanization for bringing the improvement in crop production using modern equipment and tools. However, the Modern equipment development needs improved machineries for fabrication. Moreover, the metal joining technology; like Submerged Arc Welding (SAW) available is very advance and made welding of thicker plats and welded structures. Therefore, while using this modern …
Published in International Journal of Polymer Science and Engineering · Vol. 4, Issue 2, 2018 · pp. 34–43 Read article
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Revolutionizing E-Voting with Blockchain: A Secure and Transparent Framework
Abstract: One of the biggest challenges facing contemporary democracies is guaranteeing the safety and openness of electoral procedures. Issues like voter fraud, tampering, and lack of transparency are common in traditional voting systems, whether they are electronic or paper-based, and they can erode public confidence. Blockchain technology, which provides a decentralized, transparent, and unchangeable electronic voting mechanism, has emerged as a viable remedy for these issues. This paper explores the implementation …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 23–36 Read article
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Utility of Wi-Fi SoC in Hydroponics for Assistive Technology
Abstract: This paper is a cumulative effort towards building a smart Monitoring system for Hydroponics farms. This system will ease out the monitoring process for the stakeholders as hydroponics is very sensitive process and it require proper monitoring because even if one of its nutrient will increase or go in deficit it will lead to crop failure, so this system will measure each of the affecting parameter via sensors and send …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 1, 2021 · pp. 1–8 Read article
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A Review on Artificial Intelligence, Internet of Things and Wearable Technology for Smart Healthcare
Abstract: The healthcare industry is no longer an isolated area unaffected by technology advancements. Healthcare is driven by technology more than any other force, and it will continue to evolve in spectacular ways in the future. Artificial Intelligence, Internet of Things, Big Data, Cloud Computing, Smart Wearables, and other cutting-edge healthcare technologies have transformed traditional healthcare into smart healthcare. Technology has allowed us to keep a close eye on our health …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 26–34 Read article
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Effectiveness of Structured Teaching Programme on knowledge and practice regarding life style modification to prevent hypertension among middle age adults
Abstract: ABSTRACT: A pre experimental study to assess the effectiveness of structured teaching programme on knowledge and practice regarding life style modification to prevent hypertension among middle age adults in selected rural area at district Hisar (Haryana) was conducted with the objectives to assess the pre-test knowledge score and practices score regarding life style modification to prevent hypertension among middle age adults and to evaluate the structured teaching programme regarding life …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 2, 2021 · pp. 34–41 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Building a Secure IoT Ecosystem with TRNGs and VHDL
Abstract: Internet of Things (IoT), which links billions of devices and produces enormous volumes of data, is growing quickly. Although this interconnection offers previously unheard-of potential, it also poses a serious security risk. Robust cryptographic solutions are necessary to protect sensitive IoT data from malevolent actors, and True Random Number Generator(TRNG) is a dependable source of randomness at the core of these solutions. Despite their efficiency, traditional pseudo- random number generators(PRNGs) …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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A Quasi-experimental Study to Assess the Effectiveness of Cognitive Stimulation Therapy on Cognition among the Institutionalized Elderly in Selected Old Age Homes at Madurai
Abstract: Background of the Study: The aging population is increasing significantly in the world. Therefore,world population is expected to be comprised of progressively bigger proportion of elderlyindividuals. Human aging is an inevitable process and, as such, implies a process of transformationand progressive change in biological, psychological and social structure. The cognitive functionbegins to deteriorate with advancing age and there are common consequences to variouspsychological and social aspects, such as the loss …
Published in International Journal of Geriatric Nursing · Vol. 4, Issue 2, 2021 · pp. 12–21 Read article
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Retrofitting Coaching Centers into Commercial Spaces
Abstract: The rapid expansion of the private education sector in India, particularly in the post-1991 era, hascreated a plethora of investment opportunities. One notable segment within this sector is the coachingindustry, which has witnessed remarkable growth, transforming from small-scale individual tuitioncenters to large-scale coaching companies. The proliferation of private tutoring centers across thecountry, even in smaller cities, has sparked a significant debate about their role and impact on theformal education system. …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 2, 2024 · pp. 22–31 Read article
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Synthesis, Characterization and Photoconductive Properties of Antimony Selenium Iodide
Abstract: A shiny needle-shaped polycrystalline chalcogenide compound, SbSeI, was synthesized through a solid-state thermal reaction by combining the constituent elements in a stoichiometric ratio within an evacuated quartz tube at 585°C for 3.5 hours. The resulting compound was characterized using SEM, EDAX, and XRD techniques to confirm its structure and composition. The resistance versus temperature curve revealed the semiconducting nature of the material with a resistivity of 3.5 x 10⁷ Ω-cm …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 1–8 Read article
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Eggshell as Calcium Supplement Tablet
Abstract: Hen eggs are very nutritious food items but their shells are discarded as wastes from different sources like hotels, houses etc. In this study these discarded eggshells were collected. They were processed and a powder was obtained in final stage. This eggshell finds applications in many fields due to its rich calcium content and here it was used as a calcium supplement for females. Calcium extracted from different eggshells was …
Published in International Journal of Animal Biotechnology and Applications · Vol. 2, Issue 1, 2016 Read article
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Response Surface Methodology in the Optimization of Biodiesel Production from Palm Kernel Oil and Cellobiose by Acid Catalysis in Non-solvent Medium
Abstract: Cellobiose, rich in hydroxyl (OH) functional groups was used in a solventless transesterification process with Palm Kernel Oil (PKO) to produce high-quality biodiesel and glycerol. Response Surface Methodology (RSM) was used to examine the effect of reaction temperature, catalyst concentration, reaction time, and cellobiose: oil ratio to optimize the process parameters for highpurity and yield of consequent biodiesel. The process was an acid-catalyzed transesterification reacton of Palm Kernel Oil and …
Published in International Journal of Green Chemistry · Vol. 9, Issue 1, 2023 · pp. 1–22 Read article
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Parallel and Distributed Computing—A Review
Abstract: Parallel and dispersed registering is an intricate and quick developing exploration territory. In its short 50-year history, the standard parallel PC engineering has developed from Single Instruction Multiple Data stream (SIMD) to Multiple Instructions Multiple Data stream (MIMD), and further to approximately coupled PC bunch; now it is going to enter the Computational Grid period. The calculation research has additionally changed as needs be throughout the years. In any case, …
Published in International Journal of Distributed Computing and Technology · Vol. 2, Issue 2, 2016 · pp. 35–46 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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Comparison of Various Methodologies used for Automating Plant Disease Detection using Image Processing
Abstract: In India, major of economy and development depends on agriculture, so plant disease detection becomeimportant for us so that if any crop is destroyed due to diseases is known to us prior and we can overcomethe loss of crops due to plant diseases. It is better to catch the disease in the initial phase so that the largescaledamage of crops can be prevented. Traditionally, the diseases incurred via the naked …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 20–23 Read article
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School Management System
Abstract: The goal of this project is to design and evaluate a web-based school management system that will give administrators and instructors the leverage they need to support all schools in effectively and efficiently managing their daily operations. Two different approaches make up analysis methods: suggestedsystem planning and current system analysis. The current system used direct surveys, interviews, instruction in classes, and literature study as its data collection methods. We developed …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article