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141 articles for “Record Management”
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Morphological, Phenological and Yield assessment of Cosmic Yantras on Solanum lycopersicum L. and Pisum sativum L. crop plants under normal climatic conditions
Abstract: Vegetables are edible plants or parts of plants (roots, stems, leaves, flowers and seeds) that are consumed for their nutritional value. They are rich in vitamins, fiber and antioxidants. The study was conducted in cropping season (April to October 2024) to observe the comparative effect of cosmic yantras and organic manures on growth and morphology of Pisum sativum and Solanum lycopersicum under normal climatic conditions. The objective of this research …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 3, 2026 Read article
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Uttarabasti in Female Infertility: A Retrospective Analysis of Clinical Outcomes and Safety Profile
Abstract: Background: Uttarabasti (UB) is a specialized Panchakarma procedure involving intrauterine instillation of medicated Sneha, classically indicated in Yonivyapad and Vandhyatwa. It facilitates targeted local drug delivery, bypassing gastrointestinal metabolism and enabling direct therapeutic action at the uterine level. In Ayurvedic understanding, UB achieves Garbhashaya Shuddhi and Apana Vata Anulomana — the two primary pathological corrections considered essential in Vandhyatwa. Infertility affects an estimated 10–15% of couples globally, with a substantial …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 Read article
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IoT-Based Automated Crop Protection System for Smart Farming
Abstract: The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system's sensor array gets analyzed and controlled by an Arduino controller. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–8 Read article
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Smart Attendance Management System: Design and Implementation
Abstract: The Smart Attendance Management System (SAMS) is an all-in-one, role-specific digital platform created to transform how educational institutions manage both attendance and academic content. Designed with modern technological standards, SAMS simplifies and streamlines the tracking of student attendance while also facilitating effective course administration. The system supports a wide range of features such as automatic attendance recording, detailed reports for individual subjects, and consolidated overviews of overall class attendance. In …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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A Review of Telepharmacy: Advancements, Challenges, and Future Directions
Abstract: Like telemedicine, telepharmacy is a relatively new term that describes the delivery of pharmacological services. While tele comes from the Greek word “Telos,” which means from a distance, medicine comes from the Latin word “Meden,” which means to heal. The National Association of Boards of Pharmacy defines telepharmacy as the use of information and communication technology to provide patients with pharmaceutical treatment from a distance. Clinical pharmacy services are provided …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 34–42 Read article
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Generative AI for Designing Sustainable Polymer Composites for Renewable Energy Applications
Abstract: Sustainable polymer composites are increasingly required for renewable energy devices, yet conventional trial-and-error formulation cannot efficiently balance performance, processability, recyclability, and environmental constraints. This study proposes a generative artificial intelligence framework for designing polymer composites for photovoltaic encapsulation, dielectric energy storage, polymer electrolytes, and thermal-management systems. Public polymer-property and composite datasets were curated from open databases and published supplementary records. Chemical descriptors, molecular fingerprints, polymer embeddings, processing variables, and sustainability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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CredBud: The Ultimate Student Platform
Abstract: In the rapidly evolving educational landscape, effective management of student performance, attendance, and engagement is essential for fostering accountability, motivation, and academic growth. Addressing the limitations of traditional methods, CredBud introduces an innovative digital platform designed to revolutionize academic management. This secure, user-friendly ecosystem empowers both students and faculty to enhance efficiency and collaboration. CredBud’s key features include a credit allocation and grading system to monitor academic progress, a theoretical …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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NeoVax: Smart Child Vaccination and Monitoring Platform
Abstract: Child vaccination plays a crucial role in preventing life-threatening diseases and ensuring long-term public health. Despite the availability of structured immunization programs, many children miss scheduled vaccinations due to lack of awareness, busy lifestyles of parents and absence of effective reminder systems. This research paper presents NeoVax, a smart and user-friendly child vaccination reminder and management system designed to address these challenges using digital technology.NeoVax is an Application that enables …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 14–20 Read article
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Evaluation of Irrigation Regime on Onion Yield in Konta Special Woreda, Ethiopia
Abstract: Irrigation scheduling (when and how much to apply) is the primary tool to improve water use efficiency, increase crop yields, increase the availability of water resources, and contribute positive effect for the quality of soil and ground water. Field experiment was conducted for two consecutive years to determine appropriate scheduling of onion production. The experiments were arranged in randomized complete block design (RCBD) with four treatments (T1 = 125% manageable …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 9–14 Read article
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Blockchain Technology: Comprehensive Review and Future Directions
Abstract: Blockchain technology has emerged as a transformative power, restructuring sectors by offering increased security, transparency, and decentralization. This research paper serves as a comprehensive examination of blockchain, aiming to dissect its intricate structure, explore its myriad applications, confront existing challenges, and envision future advancements. At its core, the problem addressed herein is the imperative to comprehend the present landscape of blockchain technology, discern its limitations, and chart a course toward …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 33–38 Read article
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Review of Atorvastatin As A Potent Drug For Cardio-Vascular Disease(CVD)
Abstract: Cardiovascular disease (CVD), particularly atherosclerosis, remains the leading cause of death worldwide, significantly burdening public health, especially in Western societies. Metabolic syndrome and arrhythmic complications further exacerbate cardiovascular morbidity and mortality. Among restorative specialists, statins particularly atorvastatin have gotten to central in both the essential and auxiliary anticipation of coronary heart infection (CHD) due to their strong lipid-lowering properties and additional pleiotropic impacts. Atorvastatin, a selective HMG-CoA reductase inhibitor, not …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 8–18 Read article
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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Performance Evaluation of Dominant Red Barred D922 Breed at Peri-urban Areas of Gurage Zone in SNNPR of Ethiopia
Abstract: Animal production in general and chickens in particular play important socioeconomic roles. The aim of this study was to evaluate the performance of red barred dual breeds in peri-urban areas of the Gurage zone and to determine the economic feasibility under farmers’ management conditions to promote and disseminate the approved technology packages to the users. Participant farmers were selected purposively on the basis of willingness to cover all associated package …
Published in Research and Reviews : Journal of Veterinary Science and Technology Read article
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Building a Modern Land Registration System: Leveraging Node.js and React.js for Efficiency, Security and Scalability
Abstract: Land registration systems are critical for safeguarding property ownership and enabling efficient real estate transactions. However, traditional systems often suffer from inefficiencies, including lengthy processing times, susceptibility to fraud, and limited accessibility. This study proposes a modernized Land Registration System (LRS) leveraging Node.js for backend development and React.js for frontend design to address these challenges. The system integrates real-time data processing, automated document verification, and role-based access control (RBAC) to …
Published in Recent Trends in Programming languages · Vol. 12, Issue 2, 2025 · pp. 1–6 Read article
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Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Glitches in the Implementation of Bioinformatics in Medical Settings: A Comprehensive Review
Abstract: Bioinformatics is a dynamic field at the intersection of biology, computer science, and information technology, offering new possibilities in medicine by enabling a deeper understanding of genomics, molecular biology, and personalized treatment approaches. Its integration into healthcare could greatly enhance diagnostics, enable tailored treatments for individuals, and facilitate the analysis of large biological datasets. However, despite its potential, several barriers impede its successful implementation in clinical settings. These include technical …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article