Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times. Applications of Disruptive Technology in Management practices are an ever interesting domain for researchers and professionals. This volume entitled Emerging Trends in Disruptive Technology Management for Sustainable Development has attempted to collate five different interesting research approaches that have innovatively reflected diverse potential of disruptive trends in the era of 4th. Industrial Revolution. The uniqueness of the volume is going to cater the entrepreneurs and professionals in the domain of artificial intelligence, machine learning, deep learning etc. with its unique propositions in each of the chapters. The volume is surely going to be a significant source of knowledge and inspiration to those aspiring minds endeavouring to shape their futures in the area of applied research in machine learning and computer vision.
The expertise and experiences of the contributing authors to this volume is encompassing different fields of proficiencies. This has set an excellent prelude to discover the correlation among multidisciplinary approaches of innovation. Covering a broad range of topics initiating from IoT based sustainable development to crowd sourcing concepts with a blend of applied machine learning approaches has made this volume a must read to inquisitive wits.
- Assorted approaches to interdisciplinary research using disruptive trends
- Focus on application of disruptive technology in technology management
- Focus on role of disruptive technology on sustainable development
- Promoting green IT with disruptive technology
The book is meant to benefit several categories of students and researchers. At the students' level, this book can serve as a treatise/reference book for the special papers at the masters level aimed at inspiring possibly future researchers. Newly inducted PhD aspirants would also find the contents of this book useful as far as their compulsory course-works are concerned. At the researchers' level, those interested in interdisciplinary research would also be benefited from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to the faculties, existing research communities and new research aspirants from diverse disciplines of the concerned departments of premier institutes across the globe. This is expected to bring different research backgrounds (due to its cross platform characteristics) close to one another to form effective research groups all over the world. Above all, availability of the book should be ensured to as much universities and research institutes as possible through whatever graceful means it may be.
Hope this volume will cater as a ready reference to your quest for diving deep into the ocean of technology management for 4th. Industrial Revolution.
Table of Contents
Chapter 1: IoT based intelligent system for identification of plant stress in sustainable agriculture
DebarshiMazumder, Sudarshan Nandy, Sudip Chatterjee
Chapter 2: IoT- a step towards Sustainability
Vikram Kulkarni, Rejo Mathew
Chapter 3: Smartphone Crowd Computing: A Rational Approach for Sustainable Computing by Curbing the Environmental Externalities of the Growing Computing Demands
Pijush Kanti Dutta, Pramanik, Saurabh Pal, Prasenjit Choudhury
Chapter 4: CFD based Flow analysis around the multi-body segments optimized using Rigid Body Fitting Method for Robotic Fish Design
P. Raviraj , S. Raja Mohamed , Adetan Oluwumi
Dr. Rik Das pursued a broad range of research interests in the domain of machine learning and deep learning applications for content based image identification. He is an Assistant Professor, Department of Information Technology, Xavier Institute of Social Service, Ranchi, Jharkhand, India. Dr. Das is a PhD from University of Calcutta and has pursued his M.Tech in Information Technology from the same University. He did his B.E. in Information Technology from University of Burdwan. His research spans multiple interdisciplinary approaches and has won accolades in the research community for manifold applications. Dr. Das has more than 10 years of research experience and 16 years of teaching experience. He has 24 International publications till date with reputed publishers, namely, IEEE, Springer, Emerald, Inderscience and so on. He is a reviewer for leading Journals, such as, Journal of Visual Communication and Image Representation, Elsevier, Transactions on Mutimedia, IEEE, LNCS Transactions on Computational Science, Springer etc. He has carried out collaborative research work with Institutions in India and abroad. He frequently delivers invited sessions on Artificial Intelligence and Machine Learning in Industry and Academia. He has also chaired sessions in International Conferences on Image Processing and has acted as a resource person in refresher courses on Information Technology. He is associated as a PhD Supervisor with reputed Universities and is guiding multiple PhD scholars for quality research output. Dr. Rik Das is always open to discuss new research ideas for collaborative research work and for techno-managerial consultancies.
Dr. Mahua Banerjee heads the Department of Information Technology, Xavier Institute of Social Service, Ranchi. She did her graduation from Bethune College, Kolkata in Physics Honours. She did her Post Graduate Diploma in Computer Application (PGDCA) from Xavier Institute of Social Service, Ranchi & Masters in Computer Application from IGNOU. Thereafter she completed her Ph.D. in Computer Science from Indian School of Mines (IIT), Dhanbad. Her research area was in Software Engineering. Since 1990, she is teaching the Post Graduate students in different topics like Procedure Oriented Programming, Object Oriented Programming, Database Management Systems, Data Structure & Algorithm, Data Communication & Networking, Operations & Production Management etc. She has around 11 National & International publications in journals and proceedings. She has also authored books on Modular Programming with reputed International publishers. She has reviewed several books in C & C++ Programming, Data Structure Algorithm and Data Communication Networking of Tata McGraw Hill Publication. Her research interest includes Software Engineering & Modular Programming.
Dr. Sourav De did his Bachelors in Information Technology from The University of Burdwan, Burdwan, India in 2002. He did his Masters in Information Technology from West Bengal University of Technology, Kolkata, India in 2005. He completed PhD in Computer Science and Technology from Indian Institute of Engineering & Technology, Shibpur, Howrah, India in 2015. He is currently an Associate Professor of Computer Science & Engineering Department in Cooch Behar Government Engineering College, West Bengal. Previous to this, he was an Assistant Professor for more than ten years in the Department of Computer Science and Engineering and Information Technology of University Institute of Technology, The University of Burdwan, Burdwan, India. He served as a Junior Programmer in Apices Consultancy Private Limited, Kolkata, India in 2005. He is a co-author of one book and the co-editor of 6 books and has more than 38 research publications in internationally reputed journals, international edited books, and international IEEE conference proceedings and one patent to his credit. He served as a reviewer in several International IEEE conferences and also in several international editorial books. He also served as a reviewer in some reputed international journals, like, Applied Soft Computing, Elsevier, B. V., Knowledge-Based Systems, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization, Inderscience Journals, etc. He has been the member of the organizing and technical program committees of several national and international conferences. He has been invited to different seminars as an expert speaker. His research interests include soft computing, pattern recognition, image processing, and data mining. Dr. De is a member of IEEE, ACM, Computer Science Teachers Association (CSTA), Institute of Engineers and IAENG, Hong Kong. He is a life member of ISTE, India.