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1960 articles for “E-health” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Bloodline: A Efficient Interface for Urgent Blood Availability
Abstract: Blood donation and transfusion have long been critical issues, with blood shortages worldwide leading to many preventable deaths. One of the key challenges contributing to these shortages is the absence of a centralized system for managing blood donations. Traditional methods of blood collection are increasingly outdated in the digital age, highlighting the need for an automated system to streamline donation processes and provide information to those in need. To address …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 28–36 Read article
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Opportunities and Challenges for Improving the Development of Sustainable Modes of Transportation in India – E- Highway Buses
Abstract: The Indian transportation sector, while contributing significantly to economic growth, also plays a major role in air pollution and greenhouse gas emissions. These emissions have adverse effects on public health and worsen climate change, necessitating a shift towards sustainable transportation solutions. Electric buses have shown promise as an alternative to diesel buses, but their limited range poses a challenge for long-distance routes due to battery technology. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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NOVA: The Virtual Desktop Assistant
Abstract: This research work details the design, development, and implementation of a voice-controlled desktop assistant aimed at streamlining everyday tasks and boosting user productivity. The assistant seamlessly integrates with various desktop applications and core operating system functions to automate routine operations, deliver relevant contextual information, and provide personalized suggestions based on observed user behavior and preferences. A standout feature of the system is its ability to monitor user activity levels and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 19–25 Read article
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A Study on Innovations in Primary Containment Technology for Safer Nuclear Power
Abstract: Nuclear power is a powerful carbon-free energy source that balances enormous potential with widespread public fear. Fear of radioactive leakage, a catastrophic catastrophe that might have long-lasting effects on the environs and human health, is at the core of this anxiety. The future of nuclear energy depends on finding a solution to this issue, and at the heart of that debate is the idea of primary containment, a technological marvel …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 37–44 Read article
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AI-Based Early Diagnosis & Prevention of Diabetes
Abstract: The worldwide burden of Diabetes Mellitus, especially Type 2 diabetes (T2D) has escalated to a critical level. Early detection of diabetes is essential to reduce long‑term complications and healthcare costs. This study explores the use of artificial intelligence (AI) techniques to improve the early diagnosis and prevention of diabetes. We developed an AI model using the Random Forest algorithm, the model predicts diabetes risk based on clinical and lifestyle variables …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Unani Concepts of Brain Pathology: Humoral Mechanisms in Māddī Neurological Disorders
Abstract: Background The Unani System of Medicine (USM) considers the brain (Dimāgh) as the principal organ of Quwā Nafsāniyya (psychic faculties), responsible for sensation, cognition, memory, movement, and emotional regulation. According to Unani principles, health is maintained through equilibrium of Mizāj (temperament) and Akhlāṭ (humours), whereas disease develops when this balance is disturbed. Among neurological disorders, Sū’-i-Mizāj Māddī Dimāgh refers to pathological conditions of the brain associated with the accumulation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 2, 2026 Read article
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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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Machine Learning-Based Disease Prediction: A Comparative Analysis for Diabetes, Brain Tumor, and Parkinson's Disease
Abstract: This paper presents a web-based disease prediction system that integrates machine learning and deep learning techniques to assist in the early detection of Parkinson’s Disease, Diabetes, and Brain Tumors. By utilizing clinical data and MRI images, the platform provides rapid and interpretable predictions to support proactive health management. Logistic Regression models are applied to classify structured datasets for predicting Parkinson’s disease and Diabetes, making use of their effectiveness in binary …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 44–54 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Deep Learning -Based Dental Issue Detection
Abstract: Dentistry is vital for preserving oral health, a key component of overall wellness. Early identification of dental issues is crucial for effective treatment and avoiding further complications. Conventional approaches to diagnosing dental problems typically depend on physical examinations and visual assessments by skilled professionals, which can be both time-intensive and influenced by individual judgment.In recent years, the application of deep learning algorithms has demonstrated significant potential in automating and enhancing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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Exploring the Intersection of AI Network Pharmacology and Ayurveda: Innovations in Traditional Medicine
Abstract: Integrative frameworks that integrate traditional medicine and modern computer research are increasingly important for advancing evidence-based, individualized healthcare. One interesting strategy is the combination of Ayurveda, network pharmacology, and artificial intelligence (AI). AI expands the capability by allowing for the quick analysis of biomedical big data, the identification of therapeutic trends, and the optimization of treatment plans. Ayurveda, with its long-standing emphasis on individualized care, holistic balance, and natural remedies, …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 92–98 Read article
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The Family Health Nursing Process: A Holistic Approach to Wellness
Abstract: Community is the living of people with harmony; family is the functional unit of community. Family health is nation’s health. Family health nursing is a structured healthcare service that prioritizes the family as the primary unit of care, aiming to accomplish specific objectives. Nursing process varies from specialty to specialty or area to area. At community it is important to know family health care process. It is very important function …
Published in Journal of Nursing Science & Practice · Vol. 14, Issue 2, 2024 · pp. 06–11 Read article
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The Perpetuation of Psychological Wounds: A Comprehensive Review of Intergenerational Trauma in Indian Patriarchal Society
Abstract: The transmission of trauma effects from one generation to the next is known as intergenerational trauma, and it is particularly common in patriarchal civilisations such as India. Laws, economy, and social conventions are shaped by patriarchy, a societal framework that primarily gives males power, authority, and advantages. This perpetuates gender inequity and marginalises women. Aim: The purpose of this review is to examine how trauma is transmitted throughout generations in …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 20–26 Read article
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Recycling of Expired Chemical Drugs and Controlling of Organic Chemical Compounds
Abstract: Expired chemicals in chemical medicines represent a big problem in chemical medicines and we must find ways to treat expired medicines. It proposes a new technology for reuse instead of burying it with ordinary waste or instead of burning it in the ovens of the soil company, The side effects of an expired medicine (its chemical substances are out of date and ineffective in healing) are any unwanted effects of …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 2, 2024 · pp. 12–20 Read article
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A Study to Assess the Knowledge and Attitude on Artificial Intelligence in Health Care Among Nursing Students at a Selected Nursing College in Kuppam
Abstract: Background: Artificial Intelligence (AI) is rapidly gaining prominence in healthcare, holding the potential to revolutionize patient care and streamline administrative processes. However, the preparedness of future nursing professionals for this technological shift, particularly their knowledge and attitudes towards AI in healthcare, remains a critical yet under-investigated area. This study aimed to assess the knowledge and attitudes of nursing students towards AI in healthcare at a selected nursing college in Kuppam, …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 1, 2026 · pp. 17–23 Read article
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Herbal Frontiers: The Role of Alternative Remedies in Combating Typhoid Fevers
Abstract: Typhoid fever, caused by Salmonella typhi, remains a major health challenge, particularly in developing regions where sanitation and healthcare resources are limited. With an estimated global incidence of 17 million cases annually, the disease poses a significant public health burden. The growing resistance to conventional antibiotics, such as fluoroquinolones and third-generation cephalosporins, exacerbates treatment challenges. This has spurred interest in alternative remedies, including herbal and homeopathic treatments.Herbal medicine offers a …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 Read article
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Pharmacovigilance and drug safety current trends and challenges
Abstract: Pharmacovigilance and drug safety are critical areas of focus in healthcare, aimed at monitoring the safety and efficacy of pharmaceutical products throughout their lifecycle. This review explores current trends, emerging technologies, and challenges in pharmacovigilance, emphasizing their impact on public health and regulatory practices. With the increasing complexity of global pharmaceutical markets, pharmacovigilance systems are evolving to integrate real-time data analytics, artificial intelligence (AI), and machine learning (ML) to detect …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 19–27 Read article
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Sacred Resilience: The Intersection of Religious Beliefs and Psychological Well-being in Crisis Situation
Abstract: Background: The relationship between religious beliefs and psychological well-being has been a focal point of psychological research, particularly in the context of crises. Understanding how religious beliefs contribute to psychological resilience may enhance support mechanisms for individuals facing crises. Objective: This study aims to examine the intersection of religious beliefs and psychological resilience during crises, focusing on how faith-based practices influence coping strategies and overall mental health outcomes. Importance: This …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 16–21 Read article