https://journals.threws.com/index.php/TRDAIoT <p>Transactions on Recent Developments in Industrial IoT</p> <p><strong>Scope:</strong></p> <p>The "Transactions on Recent Developments in Industrial IoT" is a peer-reviewed, interdisciplinary journal dedicated to advancing the knowledge and understanding of the rapidly evolving field of Industrial Internet of Things (IIoT). Our journal provides a platform for researchers, engineers, and practitioners to share their innovative contributions and insights, fostering collaboration and exploration in this dynamic domain.</p> <p><strong>Aims and Objectives:</strong></p> <ol> <li> <p><strong>Cutting-Edge Research:</strong> Our journal aims to showcase the latest research, innovations, and developments in the field of Industrial IoT. We are committed to promoting original and high-quality research that pushes the boundaries of knowledge in IIoT.</p> </li> <li> <p><strong>Interdisciplinary Approach:</strong> IIoT is inherently multidisciplinary, combining elements of IoT, data science, industrial automation, and more. We welcome contributions from a wide range of disciplines, encouraging cross-pollination of ideas and expertise.</p> </li> <li> <p><strong>Practical Applications:</strong> We are dedicated to bridging the gap between theoretical research and real-world applications. Our journal seeks contributions that have the potential to drive meaningful advancements in industrial processes, automation, and smart manufacturing.</p> </li> <li> <p><strong>Industry Partnerships:</strong> We actively encourage collaboration between academia and industry. Our goal is to facilitate the exchange of ideas, best practices, and industry insights, ultimately fostering innovation and technological advancements in the industrial sector.</p> </li> </ol> <p><strong>Key Topics and Areas of Interest:</strong></p> <p>The "Transactions on Recent Developments in Industrial IoT" covers a broad spectrum of topics, including but not limited to:</p> <ul> <li>IoT-based Industrial Automation</li> <li>Cyber-Physical Systems (CPS)</li> <li>Smart Manufacturing and Industry 4.0</li> <li>Industrial Data Analytics</li> <li>IoT Security and Privacy in Industrial Contexts</li> <li>Wireless Sensor Networks for Industrial Applications</li> <li>Edge and Fog Computing in IIoT</li> <li>AI and Machine Learning for Industrial Predictive Maintenance</li> <li>Cloud-Based IIoT Solutions</li> <li>Industrial Communication Protocols and Standards</li> <li>Supply Chain Optimization with IIoT</li> <li>Energy Efficiency and Sustainability in Industrial Processes</li> <li>Case Studies and Practical Implementations</li> </ul> <p><strong>Publication Format:</strong></p> <p>The journal publishes research articles, reviews, case studies, and technical notes. We encourage authors to provide practical insights and real-world use cases to make the research more applicable to industry professionals.</p> <p><strong>Review Process:</strong></p> <p>All submissions undergo a rigorous peer-review process, ensuring that published articles meet high standards of quality, originality, and relevance.</p> <p><strong>Audience:</strong></p> <p>Our primary audience includes researchers, academics, industry professionals, and policymakers interested in the latest developments and innovations in Industrial IoT. We aim to provide a platform for knowledge exchange and collaboration among these key stakeholders.</p> <p><strong>Publication Frequency:</strong></p> <p>The journal is published on a quarterly basis, providing readers with a regular influx of the latest research and developments in the field.</p> <p><strong>Join us in exploring the exciting world of Industrial IoT, where the digital and physical realms converge to reshape industrial processes, enhance efficiency, and drive innovation.</strong></p> <div><strong><em><br /></em> <span style="font-size: 0.875rem;">TRDAIoT</span> </strong>does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented.</div> <div> </div> <div>Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.</div> <p><em><strong><span style="font-size: 0.875rem;">TRDAIoT </span><span style="font-size: 0.875rem;">is a double-blind peer-reviewed journal indexed in several databases like google scholar, Wos, Dooj, EI </span></strong></em></p> <div id="journalDescription"> <p> </p> <p>JCR Impact Factor: 4.6 (2019)</p> <p>JCR Impact Factor: 5.6 (2020)</p> <p>JCR Impact Factor: 5.9 (2021)</p> <p>JCR Impact Factor : 6.1 (2022)</p> <p>JCR Impact Factor : Under Evaluation (2023)</p> </div> en-US contact@threws.com (Rita Sahani) contact@threws.com (Rita sahani) Mon, 05 Feb 2024 16:12:59 +0000 OJS 3.3.0.11 http://blogs.law.harvard.edu/tech/rss 60 https://journals.threws.com/index.php/TRDAIoT/article/view/233 <p>This research paper investigates the pivotal role of edge computing in advancing real-time analytics within the context of smart city healthcare applications. As urban health systems increasingly rely on the Internet of Things (IoT) for data generation, the paper explores how edge computing, situated closer to the data source, enhances the efficiency and responsiveness of healthcare analytics. The study delves into the technical aspects of edge computing, emphasizing its capacity to process data locally, reducing latency and bandwidth usage. Key considerations include the integration of edge devices, data security, and the potential impact on healthcare decision-making. The findings contribute valuable insights into optimizing smart city healthcare through the strategic deployment of edge computing.</p> Balaram Yadav Kasula Copyright (c) 2024 https://journals.threws.com/index.php/TRDAIoT/article/view/233 Thu, 17 Aug 2017 00:00:00 +0000