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718 articles for “Research Data Management”
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A Research Paper on Web Development Using HTML5 and CSS3
Abstract: AbstractThe future of web development is the HTML and CSS language. HTML5 is a new standard in every place for web users. CSS3 is a modern standard, which exemplifies the record in HTML5 language. In this paper, we are providing knowledge about the HTML5 and CSS3 languages. We also discuss the strategy and approach for web development. This paper tells about the various type of technology used in web development …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 1–4 Read article
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Predicting Employees Performance using Data Mining Techniques
Abstract: Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 4–13 Read article
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Navigating the Horizon: Current Trends in Elevating Quality Assurance in Clinical Research
Abstract: The landscape of clinical research quality management has evolved significantly in recent years, driven by stringent regulatory frameworks and globalization of trials. This evolution underscores the importance of integrating quality into all aspects of the clinical trial process from design to postresearch activities. Concepts such as Good Clinical Practice (GCP) and Quality by Design (QbD) are central to ensuring the reliability and accuracy of trial data while safeguarding patient safety …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 1, 2024 · pp. 1–8 Read article
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Recent Advances and Future Prospects in Digital Twin Technology for Battery Management Systems of Electric Vehicles
Abstract: Digital twin technology in battery management systems (BMS) for electric cars (EVs) represents a major development in the automotive industry. Digital twins provide predictive maintenance, modelling, and real-time monitoring by creating virtual copies of real-time monitoring, actual battery systems. This paper describes the functional components, architecture, and design of Digital Twin technology along with how it may be included into BMS. Emphasizing how consistent data flow from sensors improves battery …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Research on ArcGIS and Geographical Information System
Abstract: ArcGIS Server is a comprehensive, cohesive geographical information system (GIS) server which aids spatial data management, plotting, and spatial investigation across distributed systems. ArcGIS Server is a Web GIS that supports you to make your geographic information available to others. ArcGIS Server authorizes to allocate GIS resources that cover an enterprise as well as across the web. In this paper, ArcGIS was used to visualize road network which is build …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 17–20 Read article
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Emerging Role of Drone Technologies in Environmental Research: Trends, Applications, and Future Directions
Abstract: Unmanned aerial vehicles (UAVs), commonly called drones, have rapidly transformed environmental research and management over the past decade. Their flexibility, improving sensor payloads, and ability to collect high-resolution spatial and temporal data make them powerful tools across disciplines — from biodiversity monitoring and precision agriculture to water quality assessment and disaster response. UAVs bridge the gap between ground-based surveys and satellite remote sensing by offering near-real-time, fine-scale data acquisition that …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 34–42 Read article
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Pharma Tech: Leveraging Software for Drug Development & Clinical Research
Abstract: The pharmaceutical sector is progressively adopting software solutions to enhance the drug development process and optimize clinical research results. Drug development is a time-consuming, expensive, and intricate process that traditionally requires extensive laboratory research, preclinical testing, and several stages of clinical trials. Software tools are revolutionizing these stages by improving efficiency, minimizing errors, and speeding up timelines. During preclinical testing, predictive software tools are used to model toxicological effects and …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Solid Waste Management Perceptions and Practices in Pujehun Town Southern Sierra Leone
Abstract: Solid waste management is one of the most visible environmental and social issues facing Sierra Leone and is having a worrisome dimension with the growing urbanization rate. The need for economic growth to accommodate aspirations for an improved standard of living tends to disproportionatelyescalate the rate of waste generation. Pujehun town does not have a clear waste management plan (WSMP) despite the rapid population increase, this compounding issue has strained …
Published in Journal of Water Pollution & Purification Research · Vol. 10, Issue 1, 2023 · pp. 36–53 Read article
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Fuzzy Logic Driven Nutrition-based Recommendation System for Gujarati Cardiac Patients: Integrating Cultural Preferences and Patient Feedback
Abstract: This article focuses on developing a comprehensive dataset for accurate dietary recommendations tailored to Gujarati cardiac patients' needs. The dataset comprises nutritional details of over 90 Gujarati food and fruit products, meticulously collected through primary and secondary data collection methods. Each food item's nutritive values, including proteins, carbohydrates, fats, fiber, and calories, are meticulously recorded to facilitate precise dietary recommendations. The dataset integrates cultural preferences and seasonal variations in food …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 59–83 Read article
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Role of AI in waste reduction and energy efficiency
Abstract: Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization. Sustainability is now a strategic priority for many manufacturers, local governments, and logistics companies due to the rising environmental awareness and regulatory pressures. This paper explores the role of AI in facilitating waste management, smart grids, and industrial maintenance and reviewing the existing literature on AI-driven recycling, e-waste management, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 43–48 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Enhancing Healthcare Record Modeling Through Graph Convolutional Networks: Overcoming Challenges and Advancing Data Management and Analysis
Abstract: Modeling healthcare records data as a graph database presents various challenges due to the complex nature of healthcare information and its interconnectedness. In this research endeavor, our primary objective is to pinpoint the major obstacles within this field and present potential remedies to tackle them effectively. By leveraging machine learning techniques, we aim to enhance the efficiency and accuracy of healthcare record modeling, facilitating better data management and analysis. One …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 39–50 Read article
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Challenges and Opportunities in Spatio Temporal Data Analysis
Abstract: Spatiotemporal data analytics is a dynamic field that seeks to extract valuable information from data that integrates both spatial and temporal dimensions. This article explores the importance of this emerging field and its applications in a variety of fields, including environmental science, public health, and urban planning. Spatiotemporal data analysis addresses important research questions, such as determining event probabilities, understanding change patterns, identifying associations between events, and predicting events Future. …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 2, 2023 · pp. 1–11 Read article
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Analyzing Flood Return Levels Using the Gumbel Distribution in Niamey, Niger
Abstract: Floods are among the most severe natural disasters, capable of causing significant damage to both the environment and society. This research utilizes the Gumbel distribution to analyze flood return levels by examining historical data from Niamey, Niger. The study focuses on river heights, flow rates, and precipitation patterns to understand the dynamics of flooding in the region. By analyzing these parameters, the research aims to identify severe weather trends and …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Analysis of Autonomous Maintenance System Using ELECTRE Method
Abstract: Automated maintenance as a maintenance strategy defined, where the machine operators their continuously monitor devices and make changes, perform minor maintenance work on their machines. Lower labor costs, fewer operators being next to their machine at all times, it is inefficiency and maintenance related to travel waiting for technician to arrive on site eliminates time completely. Clean equipment properly check that it is done and lubricated -a maintenance technician for …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 14–25 Read article
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Smart Integrated Approach for Future E-Commerce Jewelry Business using 3D Printing
Abstract: Jewelry business has a considerable share in the global market and significant growth is expected in fashion jewelry business in the future. The demand for customized and personalized jewelry is slowly increasing and predicted to be the major expectation of the future customers. This future demand can be fulfilled by using the advanced new materials and manufacturing technologies like 3D printing. The 3D printers are now accepted by jewelry manufactures …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 83–90 Read article
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Research Challenges in the Era of AI and Digitization for Sustainable Supply Chains
Abstract: Two main topics have an impact on the adoption of sustainability as a worldwide business mandate. The first is admitting that global supply networks have an impact on sustainability and that "greening" the chain as a whole is necessary. Technology, encompassing "big data," artificial intelligence (AI), and digitization, is the second. These ideas are now widely accepted. These innovations are transforming how firms design and manage their supply chains, which …
Published in Journal of Production Research & Management · Vol. 14, Issue 1, 2024 · pp. 1–10 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 1–8 Read article
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Research Output of Department of Library and Information Science, Tilak Maharashtra Vidyapeeth, Pune
Abstract: AbstractThe present communication attempts to trace the research trends in library and information science (LIS) carried out by the researchers in Tilak Maharashtra Vidyapeeth (TMV), department of LIS. It presents the analysis of thesis/dissertations submitted by research scholars for getting degrees of M.Phil. and Ph.D. during the academic period 2008–2018. During this period, 168 thesis/dissertations have been submitted by research scholars of M.Phil. and Ph.D and 160 have been accepted …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 1, 2020 · pp. 20–27 Read article