https://journals.threws.com/index.php/TRDAIoT/issue/feed 2025-02-02T12:29:17+00:00 Rita Sahani contact@triot.com Open Journal Systems <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> https://journals.threws.com/index.php/TRDAIoT/article/view/350 2025-02-02T12:26:59+00:00 Prof. Bhim Shing Shing@gmail.com

<p>Climate change poses a global challenge, and AI-driven solutions are playing a crucial role in mitigating its impact. This review examines ML applications in climate science, including predictive climate modeling, carbon footprint reduction, and energy optimization. We discuss recent advancements in AI-based satellite imagery analysis, renewable energy forecasting, and climate risk assessment. Finally, we outline the limitations and potential of AI in driving sustainable environmental policies and decision-making.</p>

2025-01-01T00:00:00+00:00 Copyright (c) 2025 https://journals.threws.com/index.php/TRDAIoT/article/view/351 2025-02-02T12:29:17+00:00 Prof. Sandeep Makan makan@gmail.com

<p>Generative AI, powered by deep learning techniques such as GANs, VAEs, and Transformers, has revolutionized content creation in areas like text generation, image synthesis, and music composition. This paper reviews key advancements in generative models, including GPT, Stable Diffusion, and StyleGAN, and explores their applications in entertainment, marketing, and education. We also discuss ethical concerns such as deepfakes, intellectual property issues, and bias in AI-generated content, along with potential solutions for responsible AI deployment.</p> <p>&nbsp;</p>

2025-01-02T00:00:00+00:00 Copyright (c) 2025