Proceedings of International Conference on Machine Intelligence and Data Science Applications
MIDAS 2020
1st Edition
Published on 7. May 2021
XV, 813 pages
978-981-334-087-9 (ISBN)
Description
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XV, 813 p. 448 illus., 268 illus. in color.
File size
32,50 MB
ISBN-13
978-981-334-087-9 (9789813340879)
DOI
10.1007/978-981-33-4087-9
Schweitzer Classification
Other editions
Additional editions
Manish Prateek | T. P. Singh | Tanupriya Choudhury
Proceedings of International Conference on Machine Intelligence and Data Science Applications
MIDAS 2020
Book
05/2021
Springer
€320.99
Shipment within 3-4 weeks
Persons
Prof. Dr. Manish Prateek received his bachelor's and master's degree from Southwest State University, Kursk, Russia, and in master's degree his area of specialization was in microprocessor designing. He has received his Ph.D. degree in the year 2007 in the field of manufacturing and robotics. He has more than 10 years of experience with IT industry and 14 years of experience in teaching. Currently, he is working as Professor and Dean, School of CS at UPES Dehradun. He has also been Wing Founder of domain-specific programme at UG level with industry collaboration with IBM, Xebia, Oracle, etc. He has so far guided 7 Ph.D. scholars with 53 publications in international journals and conferences throughout India and abroad. He is Founder President of Next Generation Computing Technologies (NGCT). He is holding life membership of ISTE, and a member of CSI, and he is also Executive Vice President at Pentagram Research Centre Pvt. Ltd. He is also the recipient of lifetime achievement award for his contribution to research and academics by the board of directors of pentagram research centre in the year 2010 and also he is holding the Fellow of Institution of Engineers since 2020.
Dr. T. P. Singh is currently positioned as Professor and HoD of Informatics Department, under School of Computer Science, University of Petroleum & Energy Studies, Dehradun, UK. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 22 years of rich experience with him. He has been associated with Tata Group and Sharda University, Greater Noida, NCR, India. His research interests include machine intelligence, pattern recognition and development of hybrid intelligent systems. He has guided 15 Masters Theses. Currently, 05 research scholars are working towards their doctoral degree under him. There are more than dozens of publications to his credit in various national and international journals. Dr. Singh is a member of various professional bodies including IEEE, ISTE, IAENG, etc., and also on the editorial/reviewer panel of different journals.
Dr. Tanupriya Choudhury received his bachelor's degree in CSE from West Bengal University of Technology, Kolkata, India, and master's degree in CSE from Dr. M.G.R University, Chennai, India. He has received his Ph.D. degree in the year 2016. He has nine years of experience in teaching. Currently, he is working as Associate Professor in Informatics Department, under School of Computer Science at UPES Dehradun. Recently, he has received Global Outreach Education Award for Excellence in best Young researcher Award in GOECA 2018. His areas of interests include human computing, soft computing, cloud computing, data mining, etc. He has filed 14 patents till date and received 16 copyrights from MHRD for his own software. He has been associated with many conferences in India and abroad. He has authored more than 85 research papers till date.He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agrasen College of Delhi University, Duy Tan University Vietnam, etc. He has been associated with many conferences throughout India as a TPC member and Session Chair. He is a lifetime member of IETA, a member of IEEE and a member of IET(UK) and other renowned technical societies. He is associated with Corporate, and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida, IVRGURU and Mydigital360.
Dr. Hari Mohan Pandey is Sr. Lecturer in the Department of Computer Science at Edge Hill University, UK. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition and machine learning algorithms. He is Author of various books in computer science engineering and published over 50 scientific papers in reputed journals and conferences, served as Session Chair and Leading Guest Editor and delivered keynotes. He has been given the prestigious award "The Global Award for the Best Computer Science Faculty of the Year 2015", award for completing INDO-US project "GENTLE", award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher education. Previously, he worked as Research Fellow of machine learning at Middlesex University, London. He worked on a European Commission project-DREAM4CAR under H2020. He is Associate Fellow of Higher Education Academy (UK Professional Standard Framework) and has rich experience of teaching at higher education level.
Dr. Nguyen Gia Nhu received the Ph.D. degree in Mathematical for Computer Science from Ha Noi University of Science, Vietnam National University, Vietnam. Currently, he is Dean of Graduate School, Duy Tan University, Vietnam. He has a total academic teaching experience of 19 years with more than60 publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, ACM DL, DBLP). His area of research includes healthcare informatics, network performance analysis and simulation, and computational intelligence. Recently, he has been in the Technical programme committee and review committee and Track Chair for international conferences: FICTA 2014, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016, IUKM 2016, INDIA 2017, FICTA 2017, FICTA 2018, INISCOM 2018, INISCOM 2019 under Springer-ASIC/LNAI Series. 6 Computer Science books published in Springer, IGI Global, CRC and Wiley Publication. Presently, he is Associate Editor of the IGI Global: International Journal of Synthetic Emotions (IJSE).
Dr. T. P. Singh is currently positioned as Professor and HoD of Informatics Department, under School of Computer Science, University of Petroleum & Energy Studies, Dehradun, UK. He holds Doctorate in Computer Science from Jamia Millia Islamia University, New Delhi. He carries 22 years of rich experience with him. He has been associated with Tata Group and Sharda University, Greater Noida, NCR, India. His research interests include machine intelligence, pattern recognition and development of hybrid intelligent systems. He has guided 15 Masters Theses. Currently, 05 research scholars are working towards their doctoral degree under him. There are more than dozens of publications to his credit in various national and international journals. Dr. Singh is a member of various professional bodies including IEEE, ISTE, IAENG, etc., and also on the editorial/reviewer panel of different journals.
Dr. Tanupriya Choudhury received his bachelor's degree in CSE from West Bengal University of Technology, Kolkata, India, and master's degree in CSE from Dr. M.G.R University, Chennai, India. He has received his Ph.D. degree in the year 2016. He has nine years of experience in teaching. Currently, he is working as Associate Professor in Informatics Department, under School of Computer Science at UPES Dehradun. Recently, he has received Global Outreach Education Award for Excellence in best Young researcher Award in GOECA 2018. His areas of interests include human computing, soft computing, cloud computing, data mining, etc. He has filed 14 patents till date and received 16 copyrights from MHRD for his own software. He has been associated with many conferences in India and abroad. He has authored more than 85 research papers till date.He has delivered invited talk and guest lecture in Jamia Millia Islamia University, Maharaja Agrasen College of Delhi University, Duy Tan University Vietnam, etc. He has been associated with many conferences throughout India as a TPC member and Session Chair. He is a lifetime member of IETA, a member of IEEE and a member of IET(UK) and other renowned technical societies. He is associated with Corporate, and he is Technical Adviser of DeetyaSoft Pvt. Ltd. Noida, IVRGURU and Mydigital360.
Dr. Hari Mohan Pandey is Sr. Lecturer in the Department of Computer Science at Edge Hill University, UK. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition and machine learning algorithms. He is Author of various books in computer science engineering and published over 50 scientific papers in reputed journals and conferences, served as Session Chair and Leading Guest Editor and delivered keynotes. He has been given the prestigious award "The Global Award for the Best Computer Science Faculty of the Year 2015", award for completing INDO-US project "GENTLE", award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher education. Previously, he worked as Research Fellow of machine learning at Middlesex University, London. He worked on a European Commission project-DREAM4CAR under H2020. He is Associate Fellow of Higher Education Academy (UK Professional Standard Framework) and has rich experience of teaching at higher education level.
Dr. Nguyen Gia Nhu received the Ph.D. degree in Mathematical for Computer Science from Ha Noi University of Science, Vietnam National University, Vietnam. Currently, he is Dean of Graduate School, Duy Tan University, Vietnam. He has a total academic teaching experience of 19 years with more than60 publications in reputed international conferences, journals and online book chapter contributions (Indexed By: SCI, SCIE, SSCI, Scopus, ACM DL, DBLP). His area of research includes healthcare informatics, network performance analysis and simulation, and computational intelligence. Recently, he has been in the Technical programme committee and review committee and Track Chair for international conferences: FICTA 2014, ICICT 2015, INDIA 2015, IC3T 2015, INDIA 2016, FICTA 2016, IC3T 2016, IUKM 2016, INDIA 2017, FICTA 2017, FICTA 2018, INISCOM 2018, INISCOM 2019 under Springer-ASIC/LNAI Series. 6 Computer Science books published in Springer, IGI Global, CRC and Wiley Publication. Presently, he is Associate Editor of the IGI Global: International Journal of Synthetic Emotions (IJSE).
Content
Probabilistic Machine Learning Using Social Network Analysis.- Prioritization of Disaster Recovery Aspects Implementing DEMATEL Technique.- A Study on ML Based Predictive Modelling for Pick Profiling at Distribution Centers.- Analysis of Computational Intelligence Techniques in Smart Cities.- Proposed end to end automated e-voting through blockchain technology to increase voter's turnout.- Future of Data Generated by Interactive Media.
