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13 articles for “ABHA ID”
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Factors Affecting Acceptability of Ayushman Bharat Health Account (ABHA) Digital Health ID: A Multicentre Study
Abstract: Causes of refusal from the community for the Government of India to create unique health IDs, Ayushman Bharat Health Account Numbers (ABHA) ID of every citizen using digital tools needs attention to improve acceptability in the community. Approach: The Government of India has created an ABHA identity number. It will ensure intersectoral coordination among the health ecosystem of the country. Since we all avail the facility, services and interact with …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 2, 2023 · pp. 46–54 Read article
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ANALYSIS AND DETECTION OF FINGERPRINT PATTERNS ACROSS THREE GENERATIONS IN FAMILIES OF THE VIDARBHA REGION POPULATION
Abstract: Fingerprint patterns are unique and reliable for identification. This study focuses on a comparative analysis to determine the inheritance of fingerprint patterns across three generations in families of the Vidarbha region population. The sample collection process for this comparative analysis involved working with 100 families. The study aims to gain insights into the hereditary aspects of fingerprint characteristics among three generations. The research methodology involves the collection of fingerprint samples …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 2, 2026 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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Revolutionizing Agriculture: Integrating IoT, Machine Learning, and Image Processing for Smart Farming
Abstract: Precision agriculture, characterized by data-driven decision-making, has revolutionized modern farming practices. This abstract explores the integration of sensor monitoring, machine learning, and image processing to enhance agricultural efficiency and sustainability. In precision agriculture, a network of sensors continually collects vital environmental data, including temperature, humidity, rainfall, sunlight, soil moisture, and conductivity. The real-time data supplied by these sensors empowers farmers to make knowledgeable choices concerning irrigation, fertilization, and pest management. …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 2, 2023 · pp. 28–45 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Fracture Toughness in Advanced Materials: A Comparative Review of Testing Methods and Standards
Abstract: Fracture toughness is a key material property used to assess a material's ability to resist crack propagation, which is vital for ensuring the reliability and durability of structures and components in high-performance applications. It is particularly important in advanced materials such as composites, ceramics, and high-strength alloys, which are increasingly used in demanding industries such as aerospace, automotive, and civil engineering. Fracture toughness testing helps determine the material's behavior under …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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Optimization of Machining Parameters for Minimum Surface Roughness Indicators during the Turning of AISI 316 L Stainless Steel
Abstract: Turning is the most common process associated with the production of cylindrical shapes because of its simplicity, rapidity and economy. However, it is one of the most complex cutting processes. Turning is considered to be a complementary process of other more important processes, and yet 70% of the generated chip comes from this cutting technique. Quality plays important role in manufacturing industry. In on-line quality control, controller is provided with …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 1, 2020 · pp. 24–30 Read article
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Programme for Bridge Health Monitoring for Public Works Department
Abstract: Bridges are important part of infrastructure system for country. The increase in traffic and vehicle axle load, bridges are deteriorating very fast. Thus monitoring and maintenance has become prime importance for government organizations in this field like Public Works Department (PWD). The Indian Road Congress (IRC) codes provide various tests and inspection methodologies for bridge monitoring. However, there is an absence of a defined program for various groups of engineers …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 1, 2015 · pp. 38–43 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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Role and Efficacy of Artificial Intelligence in Cyber-security
Abstract: The internet is growing and so is the cyber world, more and more people, companies, organizations and governments, etc., who were previously ignorant or just didn’t want to enter the digital world have now started to reap its benefits as technology advances and provides more solutions to the existing real-world problems. This has unfortunately also increased the number of attackers, whether they may be cybercriminals, hacktivists, sponsored attackers or an …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article
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Effect of Polymer Fiber on Concrete Made with Artificial Fine Aggregate from Demolished Buildings
Abstract: This research describes an experimental investigation that assesses the impact of polymer fiber and artificial fine aggregate on concrete properties. Polymer fiber, on the other hand, has the potential to function as a superplasticizer additive, which might lead to concrete's superior elasticity, higher strength, and reduced rate of water absorption. Thus, an experimental inquiry was conducted to ascertain the ideal admixture dose and investigate the consequences of admixture overdosage. Also, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 286–296 Read article
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Nursing Bed with Integrated Toilet
Abstract: The nursing bed with integrated toilet is an new innovation in the healthcare sector .Our idea focuses on the patients who are unable to walk and are bedridden due to the some illness or injuries .There have been made many attempts to develop a better toileting aid for bedridden patients to replace conventional incontinence products such as absorbent products, indwelling urinary catheters, and bedpans, although without much success. Automatic urine …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 66–73 Read article
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Hand-Tracking-Based Mouse Control for Touchless Human-Computer Interaction: Feasibility and Future Enhancement
Abstract: This paper presents a novel approach to human-computer interaction through a hand-tracking-based mouse control system using computer vision. The system utilizes OpenCV, MediaPipe, and the Cvzone Hand Tracking Module to identify and monitor hand movements in real-time. By utilizing hand landmarks, the system maps finger positions to cursor movement and enables essential functions such as clicking, scrolling, and double-clicking. The primary motivation for developing this system is to create a …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 18–25 Read article