The role of adaptation, machine learning, computational Intelligence, and data analytics in the field of IoT Systems is becoming increasingly essential and intertwined. The capability of an intelligent system is growing depending upon various self-decision-making algorithms in IoT Devices. IoT based smart systems generate a large amount of data that cannot be processed by traditional data processing algorithms and applications. Hence, this book series involves different computational methods incorporated within the system with the help of Analytics Reasoning, learning methods, Artificial intelligence, and Sense-making in Big Data, which is most concerned in IoT-enabled environment.
This series focuses to attract researchers and practitioners who are working in Information Technology and Computer Science in the field of intelligent computing paradigm, Big Data, machine learning, Sensor data, Internet of Things, and data sciences. The main aim of the series is to make available a range of books on all aspects of learning, analytics and advanced intelligent systems and related technologies. This series will cover the theory, research, development, and applications of learning, computational analytics, data processing, machine learning algorithms, as embedded in the fields of engineering, computer science, and Information Technology.
Internet of Things and Data Mining for Modern Engineering and Healthcare Applications
By Deepti Agarwal, Kimmi Verma, Shabana Urooj
September 28, 2022
Energy Harvesting: Enabling IoT Transformations gives an insight into the emergence of energy harvesting technology and its integration with IoT based applications. The book educates us on how energy is harvested from different sources increasing the effectiveness, efficiency and lifetime of the ...
By Ankan Bhattacharya, Bappadittya Roy, Samarendra Nath Sur, Saurav Mallik, Subhasis Dasgupta
August 26, 2022
Internet of Things and Data Mining for Modern Engineering and Healthcare Applications aims to focus on the Internet of Things (IoT) and Data Mining for Modern Engineering and Healthcare Applications. It also focuses on recent technological advancements in Microwave Engineering, Communication and ...
By Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma
July 27, 2022
Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas ...
By Saravanan Krishnan, J Bruce Ralphin Rose, N R Rajalakshmi, Narayanan Prasanth
February 14, 2022
Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial ...
By Meenu Gupta, Rachna Jain, Arun Solanki, Fadi Al-Turjman
December 31, 2021
Cancer Prediction for Industrial IoT 4.0: A Machine Learning Perspective explores various cancers using Artificial Intelligence techniques. It presents the rapid advancement in the existing prediction models by applying Machine Learning techniques. Several applications of Machine Learning in ...
By Chinmay Chakraborty, Sree Ranjani Rajendran, Muhammad Habibur Rehman
August 31, 2021
The book Security of Internet of Things Nodes: Challenges, Attacks, and Countermeasures® covers a wide range of research topics on the security of the Internet of Things nodes along with the latest research development in the domain of Internet of Things. It also covers various algorithms, ...