The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.
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Dr. Renny Fernandez is an Assistant Professor at the Department of Engineering, Norfolk State University-USA. He graduated from the Department of Electrical Engineering, Indian Institute of Technology Madras in 2010. Prior to joining NSU, Dr. Fernandez served as a visiting assistant professor at University of Indianapolis and Florida International University. Formerly, he worked as a postdoctoral associate with various research groups at University of Utah, Utah State University, Southern Methodist University and University of Virginia. Dr. Fernandez is a multidisciplinary researcher with a focus on wireless sensing platforms for healthcare, pollution control and agriculture. Dr. Fernandez has over 22 Journal publications and 35+ conference presentations and a patent.
Dr. Terrance Fernandez is an Associate Professor at the Department of Information Technology, Rajiv Gandhi College of Engineering and Technology. He is a technical consultant for "B.M. solutions LLC". He received his PhD from Pondicherry Engineering College. Currently, his research focuses on Deep learning employed in medical arenas and Network security in hybrid architectures. In the networking arena, he has worked on characterizing the Internet and to architect the World Wide Web. He co-authored 20 journal publications, 30+ conference presentations and 3 patents with an h-index of 5.
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