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Series: Next-Generation Computing and Communication Engineering

Series Editor: Dr. G. R. Kanagachidambaresan and Dr. Kolla Bhanu Prakash

Scope: The rapid growth of technology and new smart city development initiatives has made computing and communication an inevitable platform for all engineering domains. The need for a sophisticated ambient environment has resulted in the exponential growth of automation, robustness and artificial intelligence. Therefore, it is very important to address computing and communication issues in such environments in order to achieve better performance.

Edge computing has become an active research field supporting low processing power, real-time response time, and more resource capacity than IoT and mobile devices. It has also been considered to effectively mitigate loads on data centers, to assist artificial intelligence (AI) services, and to increase 5G services. Edge computing applications along with the IoT field are essential technical directions in order to open the door to new opportunities enabling smart homes, smart hospitals, smart cities, smart vehicles, smart wearables, smart supply chain, e-health, automation, and a variety of other smart environments.
However, any developments are made more challenging because the involvement of multi-domain technology creates new problems for researchers. Therefore, in order to help meet the challenge, this book series concentrates on next generation computing and communication methodologies involving smart and ambient environment design. It is an effective publishing platform for monographs, handbooks, and edited volumes on Industry 4.0, agriculture, smart city development, new computing and communication paradigms. Although the series mainly focuses on design, it also addresses analytics and investigation of industry-related real-time problems.

The main focus of the series includes but is not limited to the following research areas: Industry 4.0, Artificial Intelligence, Machine and Deep learning, Data science, Cognitive Engineering, Cognitive Analytics, CUDA system design, Cyber-physical systems, Quantum Machine Learning, Smart cities, Smart factory, Smart machining, Smart cutting tools, Sensors and Actuators, 5G and wireless technologies for industrial applications, prognostics and alert system. Additional areas of interest include Intelligent manufacturing, Smart healthcare and Transportation systems, Digital Twins, Rapid Prototyping and Manufacturing system, Low Energy Embedded system, Edge and Fog computing, Algorithm design, the Internet of Things and Cyber forensics, Cryptocurrency, Bitcoin and Blockchain Technology, Communication Protocol Design, Intelligent System design and Crowd Sensing, Smart Grid, Soft computing solutions, Microwave Antennas, Atmospheric & Ionospheric research, UAV and ROV monitoring, Signal Processing, System-on-chip and Embedded Design concepts.

About the Series Editor:
Dr. G. R. Kanagachidambaresan received a BE degree in Electrical and Electronics Engineering from Anna University in 2010 and an ME in Pervasive Computing Technologies from Anna University in 2012. He completed his PhD at Anna University Chennai in 2017 and is currently an associate professor in the CSE Department of Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His main research interests include body sensor network and fault tolerant wireless sensor network. He has published several articles in reputable publications and undertaken several consultancy activities for leading MNC companies. He has also guest edited several special issue volumes and books and has served as an editorial review board member for peer-reviewed journals. He is presently working on several government-sponsored research projects like ISRO, DBT and DST.

Dr. Kolla Bhanu Prakash is a professor and the head of a research group at the KL University CSE Department in Vijayawada, Andhra Pradesh, India. He received his MSc and MPhil degree in Physics from Acharya Nagarjuna University, Guntur, India, and an ME and PhD in Computer Science Engineering from Sathyabama University, Chennai, India. He has 15+ years of experience working in academia, research, teaching, and academic administration. His current research interests include deep learning, data science, smart grids and image processing. Dr. Prakash is an IEEE Senior Member. He is a fellow ISRD member and treasurer of the ACM Amaravathi Chapter, India, LMISTE, MIAENG, SMIRED, and has reviewed more than 100 peer-reviewed journals which are indexed on Publons. He is the author and editor of many research papers, books and patents. He is an editorial board member and TPC member of flagship conferences and refereed journals, and is a reviewer for IEEE Access journal.

Submission to the series:


Dr. G. R. Kanagachidambaresan, ME, PhD
Associate Professor, Department of CSE,
Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology,
Avadi, Chennai, India
E-mail: kanagachidambaresan@gmail.com
Tel: +91-9994120988.

Dr. Kolla Bhanu Prakash, ME, PhD, LMISTE, MIAENG, MCSTA, MIEEE
Professor & Research Group Head,
Department of Computer Science Engineering,
K L Deemed to be University,
Andhra Pradesh, India.
E-mail: drkbp1981@gmail.com
Tel: 08374942274

Published and Forthcoming Titles


 
Machine Learning for Industrial Applications
By Bhanu Kolla Prakash
Copyright: 2024   |   Status: Contracted   |   Expected Pub Date:2024/08/30   |   Hardcover


 
Advanced Analytics and Deep Learning Models
Edited by Archana Mire, Shaveta Malik and Amit Kumar Tyagi
Copyright: 2022   |   Status: Published   |   Hardcover
 
The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.


 
Machine Learning Paradigm for Internet of Things Applications
Edited by Shalli Rani, R. Maheswar, G. R. Kanagachidambaresan, Sachin Ahuja and Deepali Gupta
Copyright: 2022   |   Status: Published   |   Hardcover
 
As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue.


 
Medical Imaging and Health Informatics
Edited by Tushar H Jaware, K Sarat Kumar, Svetlin Antonov, and Ravindra D Badgujar
Copyright: 2022   |   Status: Published   |   Hardcover
 
Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications.


 
Digitization of Healthcare Data using Blockchain
Edited by T. Poongodi, D. Sumathi, B. Balamurugan and K. S. Savita
Copyright: 2022   |   Status: Published   |   Hardcover
 
The book gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management.


 
Data Science Handbook
A Practical Approach

By Kolla Bhanu Prakash
Copyright: 2022   |   Status: Published   |   Hardcover
 
This desk reference handbook gives a hands-on experience on different
algorithms and popular techniques used in real-time in data
science to all researchers working in various domains.


 
Integration of Renewable Energy Sources with Smart Grids
Edited by A. Mahaboob Subahani, M. Kathiresh and G. R. Kanagachidambaresan
Copyright: 2021   |   Status: Published   |   Hardcover
 
Provides comprehensive coverage of renewable energy and its integration with smart grid technologies.


 
Cognitive Engineering for Next Generation Computing
A Practical Analytical Approach
Edited by Kolla Bhanu Prakash, G.R. Kanagachidambaresan, V. Srikanth and E. Vamsidhar
Copyright: 2021   |   Status: Published   |   Hardcover
 
All countries are working towards and developing smart city infrastructure and the technologies involved are deeply discussed in this book and provide compact solutions with a cognitive approach.


 
Role of Edge Analytics on Sustainable Smart City Development
Edited by G.R. Kanagachidambaresan
Copyright: 2020   |   Status: Published   |   Hardcover
 
This book addresses the recent real time challenges faced in sustainable smart city development and provides novel solutions to such problems.