Convergence of Deep Learning and Artificial Intelligence in Internet of Things

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. • Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. • Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. • Explores the importance of blockchain technology in the Internet of Things security issues. • Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. • Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications. This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It further discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

Chapter 1Deep Learning Algorithms for Real-Time Healthcare Monitoring Systems Chapter 2Neural-Network Based An Efficient Hybrid Control Scheme For The Tracking Control Of Autonomous Underwater Vehicles Chapter 3Integrated Storage Allocation and Privacy Preserve Deduplication Process Over Cloud Using Dekey Method Chapter 4Internet of Things for Smart Cities: Application and challenges Chapter 5IoTBased Garbage Monitoring System with Proposed Machine Learning Model for Smart City Chapter 6Application of Natural language Processing and IOT to emulate Virtual Receptionist Chapter 7An Overview: - Understanding of Image Fusion Chapter 8Meta-Heuristics Algorithm For Optimization Chapter 9Internet of Medical Things devices: A Review Chapter 10COVID-19 Patient Remote Health Monitoring System using IoT Chapter 11Neural Network-Based Machine Learning Model for Prediction of Blood Alanine Chapter 12Hybrid Algorithm for detection of COVID-19 using CNN and SVM Chapter 13Deep Learning Algorithms for IoTBased Hybrid Sensor using Big Data Analytics Chapter 14Delineation of landslide hazard zones of a part of Sutlej basin in Himachal Pradesh through frequency ratio model Chapter 15Crop Recommendation System using Machine Learning Algorithms Chapter 16Impacts of Artificial Intelligence, Deep Learning and Internet of Things Chapter 17A Support Vector Machine based Deep learning Approach for object detection Chapter 18Artificial intelligence and IOT based Electric Grid: Future of Micro Grid Chapter 19An Analysis of Artificial Intelligence Initiatives and Programmes in India Chapter 20A Vital Fusion of Internet-of-Medical Things and Blockchain to Transform Data Privacy and Security

Dr. Ajay Rana has demonstrated his intellectual, interpersonal, and managerial skills with vast teaching experience in the academics and industry with the role ranging from lecturer to professor to director to dean and senior vice president (RBEF) within a span of more than 22 years. He is an educationalist, a teacher by heart, an innovator, a strategist, and a committed philanthropist with deep organizational ethics, equality and holding hands of every individual who wishes to succeed in life as the core of his life philosophy. His areas of interest include machine learning, Internet of Things (IoT), augmented reality, software engineering and soft computing. He has 60-plus patents under his name in the field of IoT, networks, and sensors. He has published more than 271 research papers in reputed journals such as ACM, Springer, Elsevier, Taylor and Francis and others, and International and National Conferences, co-authored 8 books and co-edited 36 conference proceedings. Prof. Rana is the chairman of AUN Research Labs, executive committee member of IEEE Uttar Pradesh Section, senior member of IEEE, and life member of the Computer Society of India and ISTE. He is also a member of the editorial board and review committee of several journals. With the intent to provide a robust learning environment to his students, he has visited many top universities and colleges, which have a legacy of more than 1,200 years of producing leaders on the global front in entire Europe, UAE, the UK, and Asia. Dr. Sharad Sharma is presently working as a professor in Electronics and Communication Engineering Department in Maharishi Markandeshwar (Deemed to be University), Mullana, India. He has a vast experience of more than 20 years of teaching and administrative work. He has received his B.Tech degree in Electronics Engineering from Nagpur University, Nagpur, India; M.Tech in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Patiala, India; and PhD from National Institute of Technology, Kurukshetra, India. He has a teaching experience of more than 20 years. He has conducted many workshops on Soft Computing and its applications in engineering, wireless networks, simulators, etc. He has a keen interest in teaching and implementing the latest techniques related to wireless and mobile communications. He has opened up a student chapter of IEEE as a branch counsellor. His research interests are routing protocol design, performance evaluation, and optimization for wireless mesh networks using nature-inspired computing, Internet of Things and space communication, etc. He is a member of various professional bodies. Dr. Ahmed A. Elngar is an assistant professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is the founder and head of Scientific Innovation Research Group (SIRG). Dr. Elngar is the director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. Elngar has more than 55 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. Elngar is a collaborative researcher. He is a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, artificial intelligence, big data, authentication, cryptology, healthcare systems, and automation systems. He is an editor and reviewer of many international journals around the world. Dr. Elngar won several awards including the "Young Researcher in Computer Science Engineering," from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he awards the "Best Young Researcher Award (Male) (Below 40 years)" and Global Education and Corporate Leadership Awards (GECL-2018). Dr. Prof. Arun Kumar Rana has received his B.Tech degree from Kurukshetra University; M.Tech degree from Maharishi Markandeshwar (Deemed to be University), Mullana, India; and PhD from Maharishi Markandeshwar (Deemed to be University), Mullana, India (Final viva awaited). His area of interest includes image processing, wireless sensor network, Internet of Things, artificial intelligence, and machine learning and embedded systems. Mr. Rana has worked with Panipat Institute of Engineering and Technology, Samalkha, Haryana, India. Currently he is working as an assistant professor with Galgotias College of Engineering & Technology, Greater Noida, Uttar Pradesh, India. He has published around 70 SCI/ESCI/Scopus papers in national and international journals, and also at conferences. He has also published six books with national and international publishers and many times members of SCI/S