About the Book
Advances in Fog Computing and the Internet of Things for Smart Healthcare delves into the transformative impact of fog computing and IoT on modern healthcare systems. This comprehensive guide educates researchers and graduate students on the fundamental concepts of these technologies, illustrating their practical applications in healthcare. Real-world use cases showcase the technologies' ability to enhance patient monitoring and personalized medicine. The book also addresses significant challenges such as privacy, security, data management, and regulatory compliance, providing strategies for overcoming them.
Alongside its companion book, Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, this volume empowers various industries to leverage IoT technologies while optimizing performance and system efficiency. It highlights the crucial role of fog computing in processing data closer to the source, ensuring faster and more efficient data processing and contributing to the creation of effective IoT ecosystems. This synergy between fog computing and IoT facilitates smarter applications and services, advancing the landscape of healthcare with more efficient, personalized, and accessible services.
Table of Contents:
1. An intelligent framework to secure Fog computer and IoT service applications using Artificial Intelligence/Machine Learning
2. Optimization Schemes for the fog computing and IoT in smart healthcare systems
3. An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Diseases in integrated IoT and fog computing environments
4. Case studies of fog computing and IoT implementations in healthcare System Contributor name and affiliation:
5. The potential applications of fog computing and IoT in healthcare
6. Achievement an extensive knowledge of fog computing and IoT and their applications in smart healthcare systems
7. Sensor network and blockchain platform for the future smart healthcare systems
8. Fog computing and IoT for electronic health records enabled with blockchain technology
9. Fog computing and IoT technology enabled with Artificial Intelligence for healthcare
10. An Enhanced Hyper-Parameter Optimization Artificial Intelligence Model enabled with fog computing and IoT in a Smart Healthcare System 11: Fog computing and IoT technology for throughput and latency in the smart sensor network
12. Federated Learning-based Approaches for Edge-enabled IoT Networks in healthcare
13. Regulatory policies for smart healthcare systems and data protection using AI and blockchain technology
14. Real-world Applications of fog computing and IoT implementations in healthcare
15. Fog computing and IoT technology Enabling Medical Image Processing
16. Fog computing and IoT technology in Hospital Information Systems Management
About the Author :
Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.
Dr. Akash Kumar Bhoi, holds degrees in B.Tech, M.Tech, and Ph.D., and has been contributing to the field of computer science and engineering. He assumed the role of Assistant Professor (Research) at the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology (SMIT), India, in 2012. In addition to his academic responsibilities, Dr. Bhoi extended his expertise during a research tenure as a Research Associate at the Wireless Networks (WN) Research Laboratory, Institute of Information Science and Technologies, National Research Council (ISTI-CRN) in Pisa, Italy, from January 20, 2021, to January 19, 2022. Dr. Bhoi further serves as the University Ph.D. Course Coordinator for "Research & Publication Ethics (RPE)." He is an active member of professional organizations such as IEEE, ISEIS, and IAENG, and holds associate membership with IEI and UACEE. He plays a significant role as an editorial board member and reviewer for esteemed Indian and international journals and regularly contributes as a reviewer. His research expertise encompasses a wide array of domains, including Biomedical Technologies, the Internet of Things, Computational Intelligence, Antenna technology, and Renewable Energy. Dr. Bhoi has a notable publication record, with multiple papers featured in national and international journals and conferences. Dr. Bhoi has played a pivotal role in the organization of international conferences and workshops, offering his expertise as a key contributor. Currently, he is involved in editing several books in collaboration with international publishers
Paolo Barsocchi is a researcher at the Information Science and Technologies Institute (ISTI) of the National Research Council (CNR) at Pisa, Italy. He received his M.Sc. and Ph.D. degrees in information engineering from the University of Pisa in 2003 and 2007, respectively. Since 2017 he is Head of the Wireless Networks Research Laboratory. He is currently involved in several European projects, national and regional projects. The overall amount of attracted and managed funds both at European and national level is about €3M. He has been nominated as a regional competence reference person for advanced manufacturing solutions in Industry 4.0 in 2017, and as a contact person in the Cluster-PON call in 2017 for the CNR Department DIITET, which ISTI belongs to. His research interests are in the areas of internet of things (IoT), wireless sensor networks, cyberphysical systems, machine learning and data analysis techniques, smart environments, ambient assisted living, activity recognition and indoor localization. Victor Hugo C. de Albuquerque [M’17, SM’19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil.
He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.
