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10 articles for “Body driven comparator”
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Dynamic Comparators for Very High-Speed ADC’s
Abstract: The need for ultra- low power and space economical analog –to- digital converters (ADCs) is pushing towards the utilization of low voltage CMOS dynamic comparators to maximise the facility potency and speed. the traditional dynamic comparators have options like high input ohmic resistance, no static power dissipation and sensible strength against noise and couple. the downside is that giant numbers of transistors are accustomed minimize the offset, therefore the speed …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 3, 2021 · pp. 32–45 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Debris Flow Kinetics in Planetary Environments: A Systems Perspective
Abstract: Debris flow kinetics in planetary environments represent a critical intersection of geomorphology, fluid mechanics, and planetary science. These gravity-driven flow mixtures of solids, liquids, and gases play a key role in shaping planetary surfaces and recording environmental histories. This study adopts a systems perspective to analyze debris flow behavior across different planetary contexts, emphasizing the interconnected roles of material properties, energy transformations, and environmental forcing. By integrating rheological models with …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 08–17 Read article
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Impact of Groundwater Pollution on Carcinogenic and Non-Carcinogenic Health Effects: A Review
Abstract: Groundwater is a critical source of drinking water in many regions worldwide, particularly in South and Southeast Asia, where dependence on untreated groundwater remains high. However, increasing groundwater contamination poses serious risks to human health. This review synthesizes recent peer-reviewed studies to examine the sources, distribution, and health impacts of major groundwater contaminants, with a focus on both carcinogenic and non-carcinogenic risks. Emphasis is placed on fluoride, nitrate, chromium, and …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 40–46 Read article
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HPV and Cardiovascular Risk: Unpacking a Novel Link Between Viral Infection and Heart Disease
Abstract: Human papillomavirus (HPV) is best known for its oncogenic potential, yet a growing body of evidence suggests that persistent HPV infection may also contribute to cardiovascular disease (CVD). In 2025, pooled analyses and conference reports galvanized attention by estimating that HPV‐positive individuals have ~40% higher risk of CVD and approximately double the risk of coronary artery disease (CAD) compared with HPV‐negative peers, even after adjustment for traditional risk factors. These …
Published in International Journal of Virus Studies · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors
Abstract: In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 1–14 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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IoT-Enabled Flexible Polymer Sensors for On-Body Health Monitoring and Real-Time Data Transmission
Abstract: Wearable health monitoring systems have grown increasingly vital in shifting care beyond clinical settings, yet many existing technologies remain hamstrung by rigid substrates and unreliable data streaming, impeding continuous and comfortable physiological assessment. Despite advances in flexible materials, most current sensor platforms suffer from limited mechanical endurance, signal instability under dynamic conditions, or an inability to sustain real-time wireless transmission. This work addresses those deficiencies by introducing a fully integrated, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 188–200 Read article
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Bund Breakage Predictor and Automatic Field Irrigation System
Abstract: Bunds are one among the most common techniques used in agriculture to collect surface run off, increase water infiltration and prevent soil erosion. Their principle is comparably simple by building bunds along the contour lines, water runoff is slowed down which leads to increased water infiltration and enhanced soil moisture. Water is an important resource for agriculture. Bund breakage predictor and automatic field irrigation system is used to calculate the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 2, 2019 · pp. 1–18 Read article
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Optimizing Green Composites for Automotive Applications Using Taguchi-Based Grey Relational Analysis
Abstract: The increasing demand for sustainable and lightweight materials in the automotive industry has driven the exploration of green composites as an alternative to conventional synthetic composites. This study focuses on optimizing the mechanical properties of green composites using Taguchi-based Grey Relational Analysis. Four natural fibers—pineapple, sisal, coir, and Nava—were reinforced with cashew resin and synthetic resin matrices, incorporating silica and granite fillers of varying sizes. Key properties, including hardness, impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 743–754 Read article