Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution. Este artículo no está disponible.Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution

The convergence of Internet of Things (IoT), fog computing, and blockchain technology can be used to revolutionize energy efficiency and sustainability. The implementation of deep learning (DL) techniques may optimize the energy consumption of these interconnected systems. Thus, they can be used to create green, energy-efficient solutions for various industries, including smart cities, healthcare, finance, and industrial IoT (IIoT). Focusing on the energy efficiency and environmental impact of these technologies, they provide valuable insights into creating sustainable and scalable systems. Energy-Efficient Deep Learning Approaches in IoT, Fog, and Green Blockchain Revolution bridges the knowledge gap between traditional IoT and blockchain research and the emerging need for energy-efficient and green technologies. It influences future research directions, encourages collaboration across disciplines, and inspires innovations that prioritize sustainability. Covering topics such as software-defined networking (SDN), ecosystem conservation, and monitoring systems, this book is an excellent resource for computer scientists, policymakers, technologists, industry practitioners, engineers, environmentalists, sustainability advocates, professionals, researchers, scholars, academicians, and more.

Anwar Ali Sathio is an accomplished academic professional with extensive experience as a faculty member, research scholar, and professional trainer in the computing and IT disciplines. Currently serving as a Senior Faculty member at the Faculty of Computing Science & IT, Benazir Bhutto Shaheed University Lyari, Karachi, Anwar has demonstrated exceptional leadership in various administrative roles and responsibilities. Editorial and Research Contributions: • Editor and contributor for IGI Global, with a focus on topics related to Blockchain Technology, Deep Learning, and Financial Fraud Detection. • Active reviewer for several reputed journals, including the Journal of Computing and Digital Systems (IJCDS) and Annals of Emerging Technologies in Computing (AETiC). • Published multiple research papers, book chapters, and conference proceedings indexed in Scopus and other international databases.

Muhammad Malook Rind Multifaceted, resourceful academic professional with more than 20 years of diversified industry, academia, research, and administrative experience at renowned national and multinational institutes/organizations. Served as a team lead in one of the largest IT and Telecom company i.e. Etisalat UAE, and played a major role in planning, deployment, execution, commissioning and management of large scale IT projects in Pakistan. Presently serving as a Professor (Computer Science) at a public sector university in Karachi, Pakistan. As a researcher, have contributed (published and presented) several good quality research papers in well-reputed journals/international conferences, published one Book and few Book Chapters. Actively involved in supervising under-graduate, graduate and Post graduate research projects.

Shafique Ahmed Awan is an associate professor at BBSU Karachi, a Highly creative Faculty member and IT Administrator with 15 years of experience delivering practical education in the areas of Computer Science, IT, and artificial Intelligence, Machine Learning, Software and expert in Medical imaging. Highly skilled in integrating a multi-dimensional, interdisciplinary, and multicultural curriculum that links the computer, human, technology, and social movements.

Dr. Allah Rakhio Junejo is a distinguished academic and researcher with extensive expertise in Computer Science, particularly in the areas of Artificial Intelligence, Data Science, and Cloud Computing. He has made significant contributions to the field through his research and scholarly activities, with over 50 publications, including journal articles, conference papers, and book chapters. His research work has been recognized globally, with numerous citations reflecting his impact on the academic community. Current Roles and Responsibilities: • Faculty Member at Government College University Hyderabad (GCUH), Pakistan, where he is involved in both teaching and research within the Department of Computer Science. • Editorial Board Member of several international journals, providing critical insights and guidance on emerging topics in computing and technology. • Reviewer for multiple peer-reviewed journals, contributing to enhancing quality research publications. His research outputs are published in high-impact international journals and conferences, contributing to the body of knowledge in the field of computing. His work is accessible on various platforms, including Google Scholar and ResearchGate. Editorial Experience: Dr. Junejo has served on the editorial boards of several reputable international journals. His role involves overseeing the review process, ensuring the integrity and quality of published research, and identifying emerging trends in the field. His editorial contributions are also highlighted on his LinkedIn profile.