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402 articles for “Data Set”
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Red Cell Distribution in Pregnancy Associated with Preeclampsia Patients in Worldwide: A Brief Review
Abstract: Introduction: Preeclampsia (PE) is a major obstetric problem contributing considerably to maternal and prenatal morbidity and mortality worldwide. Preeclampsia varies in incidence in India from 5% to 15%. The role of this hematological parameter in clinical assessment, differential diagnosis, and prognosis evaluation of PE remains unclear. Thus, the purpose of the current review was to investigate the red cell distribution width (RDW) in preeclampsia, analyze its importance for early diagnosis, …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 6–12 Read article
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Artificial Intelligence in intra operative and peri operative management of major oral and maxillofacial surgeries
Abstract: Artificial Intelligence and virtual reality are becoming a part of everyday life and are enhancing our quality of life extensively. It is only natural that the same shall be used in surgery also. The existing body of literature on artificial intelligence (AI) and its integration into various surgical specialties has been extensively reviewed and discussed in this article. These insights, though derived from broader surgical domains, can be effectively translated …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 1–5 Read article
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Influence of Personality Traits on Motivation and Engagement among Adolescents During Online Education
Abstract: This study investigates how the Big Five personality traits—openness, conscientiousness, extraversion, agreeableness, and neuroticism—affect motivation and engagement among adolescents in online education settings. During the COVID-19 pandemic, online learning became a necessity, but not all students adapted equally. A sample of 600 students aged 16 to 19 years from 30 inter colleges in the Gwalior district participated in this research. Data were collected using a structured questionnaire measuring personality traits …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 Read article
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The Heat of Competition: Assessing Climate Vulnerabilities and Adaptive Governance in Endurance, Winter, and Youth Sports
Abstract: Background: Climate change is fundamentally reshaping the environmental parameters of global sport, posing unprecedented risks to athlete health, safety, and performance. As rising temperatures, frequent extreme heat events, and deteriorating air quality become the new normal, athletic environments from community fields to elite international arenas face an existential threat. Purpose: This study provides an interdisciplinary synthesis of the multifaceted impacts of climate change on athletes, integrating evidence from sports medicine, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 9–17 Read article
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Mindfulness-Based Stress Reduction Techniques Among Healthcare Workers in South India: A Regional Analysis of Efficacy and Barriers
Abstract: Healthcare workers (HCWs) in India, particularly in resource-limited settings, face high levels of occupational stress, yet structured stress-reduction interventions remain underutilized. Mindfulness-Based Stress Reduction (MBSR) offers a potential solution, but implementation challenges persist. To assess the effectiveness of an 8-week MBSR programme in reducing stress and enhancing mindfulness among HCWs in South India, and to identify barriers to its successful implementation across urban and rural settings. A quasi-experimental study was …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 99–103 Read article
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A Geospatial Analysis of Correlation Between Built-up Area and Vegetation Coverage using Google Earth Engine in Saint Martin Island, Bangladesh
Abstract: Background: This study explores the complex interconnection between expanding human settlements and fluctuating plant life on the island of Saint Martin, Bangladesh, utilizing cutting-edge geospatial techniques through the open-source Google Earth Engine platform. The rapid population boom in Bangladesh and tourism-fueled development on Saint Martin Island stir serious worries about their ecological consequences. Methods: Remote sensing data sourced from Landsat 5 TM and Landsat 8 OLI/TIRS satellites between 1991 and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 21–29 Read article
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API Development for Cloud Parameter Curation
Abstract: API development for cloud parameter curation is pivotal in managing and optimizing various parameters within cloud environments. This project aims to develop a set of APIs that facilitate the efficient configuration, monitoring, and management of cloud parameters such as network settings, security policies, and resource allocation. Leveraging PHP for development and GoDaddy servers for hosting, the APIs provide a scalable and accessible solution for controlling cloud parameters remotely. Security measures, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Comparative Study of Knowledge and Attitudes of Rural-Urban Households on Polio Vaccination in Northeast Nigeria
Abstract: Poliomyelitis (polio), although it has been eradicated over the decades, continues to be a major problem of public health in Nigeria. Polio vaccination is the best way to counteract the transmission of poliovirus, although differences in knowledge and attitude to polio vaccination between rural and urban families are present and especially in Northeast Nigeria. This paper explores such differences, evaluates their impact on the knowledge, attitudes, and acceptance of polio …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 1–13 Read article
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Comparative Analysis of Vertical Geometric Irregular Buildings by Fragility Curve Using Pushover Analysis
Abstract: The present work deals with the analysis of vertical geometric irregular structures, such as step buildings and setback buildings, which exhibit stiffness irregularity at different locations. These structures are analyzed using pushover analysis, a nonlinear static analysis method that provides insight into the performance of buildings under seismic loading by incrementally applying lateral forces until a target displacement is reached or the structure collapses. Stiffness irregularities in buildings can significantly …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 2, 2024 · pp. 1–14 Read article
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Artificial Intelligence in Diagnostics: Advancements, Challenges, and Future Prospects
Abstract: AI is changing (and will change) healthcare as we know it, and diagnostics might be the specialty that feels the most discomfort. Artificial intelligence-based analytical systems are facilitating the detection, diagnosis, and treatment of a variety of diseases, with better accuracy, speed, and results. Now, this abstract investigates the role of AI in diagnostics, scouring its elements, landmark techniques, transformative impact and future overview. This article explains AI and discusses …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 · pp. 8–17 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Computational Studies on PVDF-HFP/Li-salt Composite Electrolyte for Lithium-ion Batteries
Abstract: Density Functional Theory (DFT) is very useful method to study the geometrical, electronic, and other important properties of molecules. Parameters and required data of Poly(vinylidene fluoride-co- hexachloropropylene) (PVDF-HFP), lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) and polymer electrolyte (PVDF-HFP + LiTFSI) are calculated with the B3LYP functional and 6-31+G(d,p) and 6- 31++G(d,p) basis sets using Gaussian03. The optimized geometry, total energy, ionization potential, electron affinity, energy gap, and electronegativity were calculated. In result, the …
Published in Journal of Nanoscience, NanoEngineering & Applications Read article
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ML-Driven Defect Detection in Additive Manufacturing of Polymer Composites Using Thermal Imaging
Abstract: Polymer-based flexible biosensors have emerged as a pivotal technology in continuous health monitoring, yet their deployment in real-world settings is often hindered by undetected micro-defects and signal distortion caused during fabrication or usage. Existing diagnostic frameworks typically rely on post-hoc processing or bulky instrumentation, failing to offer scalable, real-time detection during additive manufacturing workflows. This study introduces an end-to-end, thermographic imaging-integrated framework for in-situ defect identification during the additive manufacturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 201–215 Read article
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The Importance of Self-Care for Healthcare Professionals in North India: A Regional Analysis of Burnout, Resilience and Institutional Support
Abstract: Background: Burnout in healthcare professionals is described using the framework of Occupational Health and Resilience Theory, where self-care is an individual-level coping mechanism and institutional support is an organizational-level moderator. However, there is a lack of regional data from North India on the structural and contextual factors influencing burnout. Healthcare workers (HCWs) in North India face mounting pressures due to high patient loads, limited mental health resources, and overlapping professional …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 24–29 Read article
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Environmental and Sanitation Challenges and Their Role in Malaria Transmission: A Case Study of Duport Road Community, Paynesville City, Liberia
Abstract: Introduction: Environmental sanitation plays a crucial role in controlling malaria transmission, yet several factors continue to impede its effectiveness, particularly in communities with poor waste management and drainage systems. This study explores the factors that hinder proper environmental sanitation and their association with the spread of malaria among residents of Duport Road Community, Paynesville City, Liberia. Methods: A descriptive cross-sectional study was conducted, gathering data from 400 participants—both men and …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 24–29 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Reconfigurable AES Based AEAD For Multi-Mode Operation with Lightweight Compatibility
Abstract: The proposal is for a lightweight, multi-mode, reconfigurable authenticated encryption system with associated data (AEADs) based on AES. It is challenging to effectively integrate different AEADs in hardware because each one has its own mode of operation and/or subfunctions, even though some major AEADs share several basic components (such as the XOR-Encryption-XOR (XEX) scheme, block chaining, and advanced encryption standard (AES). This paper proposes hardware that effectively combines the basic …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 54–68 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article