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1967 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Innovative Biosensor Applications in Petroleum Industry for Enhanced Monitoring and Safety Measures
Abstract: The petroleum industry is fundamental to the global economy, providing the energy and raw materials that drive modern society. However, this industry faces a myriad of challenges, including ensuring the safety of operations, monitoring critical processes effectively, and minimizing environmental impacts. Traditional monitoring techniques, while valuable, often fall short in delivering real-time data and comprehensive insights into operational parameters. These limitations can result in delayed responses to potential hazards and …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 1–13 Read article
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Structural Health Monitoring of Polypropylene Fiber- Reinforced Composite Using Accelerometer Sensors
Abstract: This study explores the application of accelerometer sensors for structural health monitoring (SHM) in evaluating the performance of polypropylene fiber-reinforced composites (PFRC). Incorporating polypropylene fibers into concrete enhances its structural integrity and durability. However, accurately assessing PFRC behavior under various conditions is crucial for its practical application in construction. This research employs advanced accelerometer sensor technology for real-time monitoring and assessment of PFRC performance. Experimental investigations captured and analyzed the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 621–634 Read article
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Analyzing the Sheet Metal Extrusion Process Using Finite Element Analysis
Abstract: A wide range of sheet metal forming techniques has been developed to make it easier to produce intricate 3D objects. However, the knowledge still isn't sufficient. The sheet metal extrusion method was examined in this research as one of the common sheet-bulk metal manufacturing technologies. Consideration of the flow-stress curve's impact across a broad range of plastic strain and ductile damage played a pivotal role in constructing a realistic finite …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 13–25 Read article
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Assessment of Knowledge and Estimated Burden of Life Style Diseases in a Rural Community
Abstract: Although rapid human evolution has brought about advancement, it has also caused several lifestyle ailments. People’s daily routines have drastically changed as a result of emerging technologies, and it paved the way for numerous life style disorders. According to reports, lifestyle diseases are a major cause of increased mortality globally. Our study highlights the prevalence of life style diseases in the rural community and the need for early identification and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 1, Issue 1, 2023 · pp. 33–38 Read article
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Quality of Sleep Among Patients with Chronic Renal Failure
Abstract: Renal failure is the partial or complete impairment of kidney function. Inability to eliminate metabolic waste products and water, along with functional disruptions in all bodily systems, result in the condition known as renal failure. Renal failure can be categorized as either acute or chronic. Chronic renal failure refers to the gradual and irreversible deterioration of the nephrons in both kidneys. It is characterized by either kidney damage or a …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 22–28 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Breeding Biology of Great Thick-Knee (Esacus recurvirostris) in Fresh Water Reservoir near Wankaner of Morbi District, Gujarat
Abstract: The Great Thick-knee (Esacus recurvirostris) is a captivating bird species that has garnered significant attention from researchers due to its unique breeding behaviors and adaptations. This large wader, characterized by its distinctive upturned bill and striking black and white facial pattern, is a local breeder in humid southern Asia. The breeding season of the Great Thick-knee typically commences in February and extends through July, with peak laying activity occurring in …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 1, 2025 · pp. 44–49 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Supervision of College Management Using Database Management System
Abstract: The college management system is a software application created with C programming and file handling methods. It serves as a centralized platform for overseeing diverse aspects of college operations, encompassing student details, course information, faculty records, enrollment management, attendance monitoring, grade administration, reporting, and administrative functions. It is designed to efficiently manage student, course, and faculty information in a college setting. The system utilizes files for data storage and conducts …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 1–7 Read article
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Social Media Usage Among Youth in Punjab: Platform Preferences, Usage Habits, and Academic Impact
Abstract: Background: The role of social media in daily life and communication activities continues to grow, especially among young people. Given the shift towards more social interaction and engagement online, it is important to look at the preferences of the platforms, their habits of usage, and how they relate with academic engagement. This research study analyzes the social media utilization patterns of youth residing in Punjab, India with the aim of …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 2, 2025 · pp. 21–30 Read article
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Geological and Geophysical Studies of the Ninety East Ridge: A Brief Review
Abstract: The Indian Ocean serves as a unique laboratory for studying the impact of both global and regional stressors on environmental changes over various geological epochs. Its distinct hydrological conditions and geographical location make it an ideal focal point for research into these phenomena. Of particular interest within the Indian Ocean is the Ninety East Ridge (NER), which holds significance as the world's longest linear rise. Researchers have long hypothesized that …
Published in International Journal of Marine Life · Vol. 1, Issue 1, 2024 · pp. 8–19 Read article
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Breaking Barriers: Overcoming Challenges for Women in STEM in India-A Conceptual Perspective
Abstract: STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress. …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 8–13 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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A Study to Evaluate the Effectiveness of Planned Teaching Program on Diabetic Management Regarding Knowledge and Practice Among Patients with Diabetes Mellitus at Selected Taluk Government Hospital, Kollegala
Abstract: Diabetes mellitus is a chronic metabolic disorder with a growing global impact. Effective management of this condition requires not only medical intervention but also comprehensive patient education. This study was conducted to evaluate the effectiveness of different diabetes education methods on improving metabolic control, body mass index (BMI), and blood pressure among diabetic patients. The research aimed to empower individuals with diabetes by enhancing their knowledge and self-management skills. A …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 19–28 Read article
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Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision- Making
Abstract: Since cardiovascular disease (CVD) continues to be a major global cause of morbidity and mortality, early and accurate risk prediction is essential for prompt intervention and individualized treatment. This study introduces a new hybrid transformer-based model that combines unstructured clinical narratives, structured data, and customized lifestyle characteristics. A comprehensive understanding of disease progression is made possible by the model's ability to capture contextual, temporal, and patient- specific insights through the …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 · pp. 30–37 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Adaptation of Recently Released Andean Common Bean (Phaseolus vulgaris L.) Varieties for Potential Areas in Wolaita Zone, South Ethiopia Region
Abstract: An experiment was conducted during the growing seasons of 2022 to 2023 at Areka and Kokate stations to evaluate and select high-yielding Andean common bean varieties, focusing on seed yield and associated traits. Seven common bean varieties, along with a local check, were subjected to evaluation using a randomized complete block design with four replications. The analysis of variance revealed a significant difference (P < 0.01) in seed yield, pod …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 1, 2025 · pp. 12–19 Read article
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Next-Generation Semiconductors: Making AI, 5G, and More Possible
Abstract: The current digital environment is being reshaped by next-generation semiconductors, which are powering revolutionary technologies including enhanced computing systems, 5G connectivity, and artificial intelligence. Next-generation semiconductors are at the heart of new technologies that are changing the world we live in today, such as artificial intelligence (AI), 5G communication, and advanced computer systems. As traditional silicon-based designs reach their limits in terms of size and performance, new materials, architectures, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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Automated Plant Disease Detection and Treatment Advisor Using Artificial Intelligence
Abstract: Automated plant disease detection and treatment advisors using artificial intelligence represent a significant advancement in modern agriculture. The identification of plant leaf diseases is essential to maintaining food security and agricultural output. Machine learning models, particularly deep learning algorithms like convolutional neural networks (CNNs), are trained on labeled datasets containing images of healthy and diseased plants. These models learn to classify images into different disease categories with high accuracy. Convolutional …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article