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720 articles for “Research Data Management”
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Research Data Management Services in the Indian Institute of Technology Libraries
Abstract: Research Data Management (RDM) Service in university libraries is growing and is the most demanded service, especially for researchers. Still, many researchers need help understanding the particular research process, the life cycle of their produced data, and its management for upcoming research. Nowadays, research data is used to train upcoming professionals and teach them about specific fields of knowledge. These data will be stored, organized, and preserved on the institutional …
Published in Journal of Advancements in Library Sciences · Vol. 10, Issue 3, 2023 · pp. 33–40 Read article
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An Integrative Approach to Implementing Green Cloud Computing, Artificial Intelligence, and Big Data Management in Modern Library Systems
Abstract: The expansion of digital resources and the integration of emerging technologies have significantly transformed modern library systems. With the rise in digital collections, libraries are now dealing with a vast amount of data that needs efficient management and storage. This research will explore the role and benefits of leveraging green cloud computing, artificial intelligence, and big data management to improve efficiency and sustainability in library science. This research explores the …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 3, 2023 · pp. 30–35 Read article
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Designing a Pure Talent Management Model in the Growth Centers of Technological Units of Islamic Azad University with the Foundation's Data Approach
Abstract: Talent management is one of the management fields that has experienced the greatest growth in the last two decades. Due to its competitive nature, for the first time the concept of talent management was proposed in private organizations and large multinational companies and was widely welcomed. Therefore, the main goal of this research is to design a lean talent management model in Islamic Azad University technology development centers with a …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 45–50 Read article
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Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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Open Flow Network Visualization Software
Abstract: Traditional IP network infrastructure is merely static, rather than flexible. Due to the advent of Cloud technologies, future networks of machine-to-machine (M2M)/Internet of Things (IoT) and the mobile devices generating Big Data, it has become very difficult for network managers to configure and monitor the ever-changing network dynamically. Recently, the concept of Software-Defined Network (SDN), which allows us to administer and configure a network in a centralized and programmable manner, …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 1, 2014 · pp. 13–17 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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A Comprehensive Study of Risk-Adaptive Access Control in Advanced Database Management Systems
Abstract: The current control methods for the accession of a crucial resource often struggle to provide adequate security in dynamic and complex advanced database management systems (DBMS). These static models lack the flexibility to adapt to evolving threats and contextual changes, leaving potential vulnerabilities. Risk-adaptive access control (RadAC) emerges as a sophisticated solution, integrating real-time risk assessment into authorization decisions to dynamically adjust access permissions. This review article provides a comprehensive …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 19–28 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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The Role of Bioinformatics in Nursing: Transforming Healthcare through Data-Driven Insights
Abstract: Bioinformatics, an interdisciplinary field combining biology, computer science, and information technology, is increasingly shaping the nursing profession. It offers powerful tools for improving patient care, advancing clinical research, and enabling personalized healthcare through data-driven decision-making. This article examines the integration of bioinformatics into nursing practice, tracing its historical roots from the Human Genome Project to its current applications in genomic medicine, precision healthcare, and population health. Nurses now play a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 18–21 Read article
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Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
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Big Data Application in Manufacturing and Supply Chain Management: A Comprehensive Review
Abstract: This review paper synthesizes findings from ten recent studies on the application of big data analytics in manufacturing, supply chain management, and related fields. The papers examined cover a range of topics including sustainable manufacturing, green supply chain management, predictive maintenance, and semiconductor manufacturing. This review aims to provide a comprehensive overview of the current state of research in these areas, highlighting key trends, methodologies, and opportunities for future work. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 8–17 Read article
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Integration of Blockchain Technology in Healthcare: Opportunities and Challenges
Abstract: Blockchain is transforming data management with decentralization, immutability, and transparency, particularly in healthcare. It addresses challenges like data protection, interoperability, and supply chain traceability. Blockchain's evolution highlights rapid growth and dynamic research interests, empowering healthcare stakeholders with patient-centric approaches. Immutability ensures data accuracy and security, fostering trust. Its profound impact on clinical research, patient engagement, and self-management is evident. Challenges in scalability, interoperability, and regulatory frameworks persist. Real-world applications showcase …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 64–77 Read article
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Enhancing Cyber Security in the Banking Sector Using Biometrics
Abstract: The fast-paced digital evolution within the banking industry has led to a substantial rise in the number of financial transactions conducted through online and mobile platforms. While this transformation has improved customer convenience and service accessibility, it has also exposed banking systems to a wide range of cyber threats, such as identity theft, phishing attacks, credential compromise, and financial fraud. Conventional authentication mechanisms, including passwords and personal identification numbers (PINs), …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 15–20 Read article
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Improving Plastic Bottle Waste Management System of India using RVMs
Abstract: India is ranked first as the most populous country in the world, and plastic waste management has been a major ongoing concern for India. With the growing economy and population, the growth of plastic waste generation has been exponential but plastic waste management has been underachieved. The excess utilization and mishandling of single-use plastic have depreciated the performance of the plastic waste management system of India. This study emphasizes on …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 31–41 Read article
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Industrial Waste Challenges and Green Manufacturing Practices: Enhancing Small and Medium-sized Enterprises (SME’s) Sustainability
Abstract: This study investigates green-manufacturing practices affects the lasting growth of Small and Medium-sized Enterprises (SMEs). The article examines how SMEs' ecological, communal, and financial sustainability performance can facilitate in improving by implementing Soft Total Quality Management (TQM) practices. The research adds to the body of data by emphasizing the value of using a comprehensive Total Quality Management (TQM) strategy to support sustainable growth in Small and Medium-sized Enterprises (SMEs). The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 693–698 Read article
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Critical Examination of Project Success Definition and Factors for Project Success Criteria
Abstract: Project success is understood as the process of measuring the success determinants such as resource management, needful level of funds, application of suitable leadership styles, as well as meeting the defined goals of a project. The success of a project is also determined by the commercial benefits obtained from a defined project. In this research paper, the definition of project success and relevant criteria for project success management is critically …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 1, 2024 · pp. 41–48 Read article
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Applications of Artificial Neural Network in Construction Engineering and Management: An Academic Literature Review and Direction for Future Research
Abstract: One of the artificial intelligence topics is artificial neural network in whichdata processing system is the idea of the human brain.The cause of processing data is many processorsthat treat in parallel form in order to solve the problem.The applications of artificial neural network with neuron model and different network architecture can be used to estimate, predict and modelling of complex problems in construction management. In order to bridge the gap …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 24–38 Read article
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Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article