1st Edition
Data Science and Innovations for Intelligent Systems Computational Excellence and Society 5.0
Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era.
Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
1. Quantum Computing: Computational Excellence for Society 5.0
Paul R. Griffin, Michael Boguslavsky, Junye Huang, Robert J. Kauffman, and Brian R. Tan
2. Prediction Models for Accurate Data Analysis: Innovations in Data Science
Balwinder Kaur, Anu Gupta, R.K. Singla
3. Software Engineering Paradigm for Real-Time Accurate Decision Making for Code Smell Prioritization
Randeep Singh, Amit Bindal, and Dr. Ashok Kumar
4. Evaluating Machine Learning Capabilities for Predicting Joining Behavior of Freshmen Students Enrolled at Institutes of Higher Education: Case Study from a Novel Problem Domain
Pawan Kumar and Manmohan Sharma
5. Image Processing for Knowledge Management and Effective Information Extraction for Improved Cervical Cancer Diagnosis
Jaya. S and Latha. M
6. Recreating Efficient Framework for Resource Constrained Environment: HR Analytics and its Trends for Society 5.0
Kamakshi Malik, Rakesh K. Wats, Aman Khera
7. Integration of Internet of Things (IoT) in Health Care Industry: An Overview of Benefits, Challenges and Applications
Afshan Hassan, Devendra Prasad, Meenu Khurana, Umesh Kumar Lilhore, and Sarita Simaiya
8. Cloud, Edge and Fog Computing: Trends and Case studies
Eng Lieh Ouh, Stanislaw Jarzabek, Geok Shan Lim, and Ogawa Masayoshi
9. A Paradigm Shift for Computational Excellence from Traditional Machine Learning to Modern Deep Learning based Image Steganalysis
Neelam Swarnkar, Arpana Rawal, and Gulab Patel
10. Feature Engineering for Presentation Attack Detection in Face Recognition: A Paradigm Shift from Conventional to Contemporary Data-Driven Approaches
Deepika Sharma and Arvind Selwal
11. Reconfigurable Binary Neural Networks Hardware Accelerator for Accurate Data Analysis in Intelligent Systems
A. Kamaraj and J. Senthil Kumar
12. Recommender System: Techniques for Better Decision Making for Society 5.0
Asha Rani, Kavita Taneja, and Harmunish Taneja
13. Implementation of Smart Irrigation System Using Intelligent Systems and Machine Learning Approaches
Raghuraj Singh, Ashutosh Deshwal, and Kuldeep Kumar
14. Light-Weight Cryptography Using a Trust-Based System for Internet of Things (IoT)
Amit Chadgal and Arvind Selwal
15. Innovation in Healthcare for Improved Pneumonia Diagnosis with Gradient-Weighted Class Activation Map Visualization
Guramritpal Singh Saggu, Keshav Gupta, and Palvinder Singh Mann
Biography
Kavita Taneja is an Assistant Professor at Panjab University, Chandigarh. She obtained her Ph.D. in Computer Science and Applications from Kurukshetra University, Kurukshetra, India. She has published and presented over 60 papers in National/International Journals / Conferences and has bagged best paper awards in many Conferences including IEEE, Springer, Elsevier, ACM and many more. She is reviewer of many reputed Journals and has been Technical Program Committee member of many conferences. She has also authored and edited computer books. She has more than 18 years of teaching experience in various Technical institutions and Universities. She is also member of BoM, Academic Council and Board of Studies of many Universities and Institutions. She has guided scholars of Ph.D. / M.Phils., more than 100 PG students of various universities and currently 04 students are pursuing Ph.D. under her guidance at Panjab University. Her teaching and research activities include Mobile Ad hoc Networks, Simulation and Modelling and Wireless Communications.
Harmunish Taneja is an Assistant Professor at DAV College, Sector 10, Panjab University, Chandigarh. He obtained his Ph.D. in Computer Science and Applications from Kurukshetra University, Kurukshetra. He is having more than 21 years of teaching and research experience. He has guided 05 M.Phil. students and more than 90 PG students of various universities. 04 students are pursuing Ph.D. under his guidance. He is reviewer of many reputed Journals and has been Review Committee member of many conferences. His research interests are Information Computing, Mobile Adhoc Networks, Image processing, Data Science, Recommender systems and System Simulation. He has published and presented over 55 papers in International Journals / Conferences of repute. He has also authored books of Computer Science and Applications.
Kuldeep Kumar works at the Department of Computer Science and Engineering, National Institute of Technology Jalandhar, India. He received his PhD degree in Computer Science from the National University of Singapore in 2016. Prior to joining the institute, he worked for 2 years in the Birla Institute of Technology and Science, Pilani, India. He received his PhD in Computer Science from the School of Computing, National University of Singapore (NUS SoC), Singapore in 2016. He has several publications in reputed international journals/conferences.
Arvind Selwal works as Assistant Professor in the Department of Computer Science and Information Technology, Central University of Jammu, India. His research interest includes machine learning, biometric security, digital image processing and soft computing. He has contributed more 25 research articles in reputed International Journals He has authored a book titled "Fundamentals of Automata Theory and Computation". He is an active member of Computer Society of India (CSI). He is undertaking two research projects from DRDO, New Delhi, India.
Eng Lieh Ouh obtained his PhD in Computer Science (Software Engineering) from the National University of Singapore. He is involved in several large-scale information technology industry projects for a decade at IBM Singapore and Sun Microsystems before joining academia as an educator. His research areas are software reuse, software architecture design, design thinking and software analytics. He has experiences delivering courses for the postgraduate students, undergraduate students and industry participants in the software engineering areas including design thinking, practical software architecture design, security engineering and mobile development. He received multiple teaching excellence awards and industry projects recognition awards throughout his career.
