Information and Communication Technology for Competitive Strategies (ICTCS 2021) (eBook, PDF)
ICT: Applications and Social Interfaces
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Information and Communication Technology for Competitive Strategies (ICTCS 2021) (eBook, PDF)
ICT: Applications and Social Interfaces
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This book contains best selected research papers presented at ICTCS 2021: Sixth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held at Jaipur, Rajasthan, India, during December 17–18, 2021. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security. The book is presented in two volumes.
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This book contains best selected research papers presented at ICTCS 2021: Sixth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held at Jaipur, Rajasthan, India, during December 17–18, 2021. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security. The book is presented in two volumes.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 22. Juni 2022
- Englisch
- ISBN-13: 9789811900952
- Artikelnr.: 64216315
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 22. Juni 2022
- Englisch
- ISBN-13: 9789811900952
- Artikelnr.: 64216315
Dr. Amit Joshi is currently Director of Global Knowledge Research Foundation and also Entrepreneur & Researcher who has completed his Masters and research in the areas of cloud computing and cryptography in medical imaging. Dr. Joshi has an experience of around 10 years in academic and industry in prestigious organizations. Dr. Joshi is Active Member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, Dr. Joshi is International Chair of InterYIT at International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of IEEE and ACM. Dr. Joshi has also edited more than 40 books which are published by Springer, ACM, and other reputed publishers. Dr. Joshi has also organized more than 50 national and international conferences and programs in association with ACM, Springer, IEEE to name a few across different countries including India, UK, Europe, USA, Canada, Thailand, Egypt, and many more.
Dr. Mufti Mahmud received his Ph.D. degree in Information Engineering (specialized in neuroengineering) from the University of Padova, Italy, in 2011. Recipient of the Marie Curie postdoctoral fellowship, Dr. Mahmud has served at various positions in the industry and academia in India, Bangladesh, Italy, Belgium, and the UK during the last 17 years. Dr. Mahmud aims to leave behind a healthy, secure, and smart world to live in. As Expert of neuroengineering, computational intelligence, and data science, his research aims to build predictive, secure, and adaptive systems for personalized services to improve quality of life through advancement of healthcare access in low-resource settings. Senior Member of IEEE and ACM and Professional Member of BCS, Dr. Mahmud holds leadership roles at many technical committees, such as Vice Chair of the Intelligent System Application Technical Committee of IEEE Computational Intelligence Society, Member of the IEEE CIS Task Force on Intelligence Systems for Health, Co-Chair of the IEEE P2733 Standard on Intelligent systems design, with AI/ML, Member of the IEEE R8 Humanitarian Activities Subcommittee, and Project Liaison Officer of the IEEE UK and Ireland Special Interest Group on Humanitarian Technology. Dr. Mahmud serves as Associate Editor of the Cognitive Computation, IEEE Access, Brain Informatics, and Big Data Analytics journals. He also serves at many technical, program, and organization committees of high-rank conferences including the Local Organizing Chair of IEEE-WCCI2020; General Chair of BI2020; and Program Chair of IEEE-CICARE2020.
Dr. Roshan Ragel is Full Professor in Computer Engineering at the University of Peradeniya, Sri Lanka. He is Skilled University Lecturer and Researcher with a doctorate in computer science and engineering and a passion for teaching,research and administration. His research interest is in the areas of fault-tolerant and dependable computing, accelerated and high-performance computing, wearable computing, and synthesis of secure and reliable embedded processors. Prof. Ragel received his Ph.D. in Computer Science and Engineering from the University of New South Wales, Australia, in 2007 and his B.Sc. in Engineering from the University of Peradeniya, Sri Lanka, in 2001. He was appointed Senior Lecturer in Computer Engineering at the University of Peradeniya December 2007 and Full Professor since October 2017. Prof. Ragel has co-authored about 150 peer-reviewed articles in topics including micro-architectural support for reliability and security in embedded processors (SoC), Internet of Things (IoT), side-channel attacks and countermeasures, application-specific processor design, high-performance computing such as hardware/software acceleration of bioinformatics algorithms, wearable computing, format-preserving digitization and OCR of local language text, and completely automated public Turing test to tell computers and humans apart (CAPTCHAs) in the context of mobile applications. He has won several best paper awards in conference papers, the most prolific Sri Lankan Author Award from Elsevier Research in 2017, and the Presidential Award for scientific publication in Sri Lanka in 2018. He was Visiting Research Scholar at the UNSW, Sydney, a few times and UIUC, Illinois once. He is Senior Member of the IEEE and the IEEE Computer Society.
Dr. Mufti Mahmud received his Ph.D. degree in Information Engineering (specialized in neuroengineering) from the University of Padova, Italy, in 2011. Recipient of the Marie Curie postdoctoral fellowship, Dr. Mahmud has served at various positions in the industry and academia in India, Bangladesh, Italy, Belgium, and the UK during the last 17 years. Dr. Mahmud aims to leave behind a healthy, secure, and smart world to live in. As Expert of neuroengineering, computational intelligence, and data science, his research aims to build predictive, secure, and adaptive systems for personalized services to improve quality of life through advancement of healthcare access in low-resource settings. Senior Member of IEEE and ACM and Professional Member of BCS, Dr. Mahmud holds leadership roles at many technical committees, such as Vice Chair of the Intelligent System Application Technical Committee of IEEE Computational Intelligence Society, Member of the IEEE CIS Task Force on Intelligence Systems for Health, Co-Chair of the IEEE P2733 Standard on Intelligent systems design, with AI/ML, Member of the IEEE R8 Humanitarian Activities Subcommittee, and Project Liaison Officer of the IEEE UK and Ireland Special Interest Group on Humanitarian Technology. Dr. Mahmud serves as Associate Editor of the Cognitive Computation, IEEE Access, Brain Informatics, and Big Data Analytics journals. He also serves at many technical, program, and organization committees of high-rank conferences including the Local Organizing Chair of IEEE-WCCI2020; General Chair of BI2020; and Program Chair of IEEE-CICARE2020.
Dr. Roshan Ragel is Full Professor in Computer Engineering at the University of Peradeniya, Sri Lanka. He is Skilled University Lecturer and Researcher with a doctorate in computer science and engineering and a passion for teaching,research and administration. His research interest is in the areas of fault-tolerant and dependable computing, accelerated and high-performance computing, wearable computing, and synthesis of secure and reliable embedded processors. Prof. Ragel received his Ph.D. in Computer Science and Engineering from the University of New South Wales, Australia, in 2007 and his B.Sc. in Engineering from the University of Peradeniya, Sri Lanka, in 2001. He was appointed Senior Lecturer in Computer Engineering at the University of Peradeniya December 2007 and Full Professor since October 2017. Prof. Ragel has co-authored about 150 peer-reviewed articles in topics including micro-architectural support for reliability and security in embedded processors (SoC), Internet of Things (IoT), side-channel attacks and countermeasures, application-specific processor design, high-performance computing such as hardware/software acceleration of bioinformatics algorithms, wearable computing, format-preserving digitization and OCR of local language text, and completely automated public Turing test to tell computers and humans apart (CAPTCHAs) in the context of mobile applications. He has won several best paper awards in conference papers, the most prolific Sri Lankan Author Award from Elsevier Research in 2017, and the Presidential Award for scientific publication in Sri Lanka in 2018. He was Visiting Research Scholar at the UNSW, Sydney, a few times and UIUC, Illinois once. He is Senior Member of the IEEE and the IEEE Computer Society.
Two-Terminal Reliability Assessments of a Complex System.- AI Based Interactive Agent for Health Care using NLP and Deep Learning.- Simulation of WSN Based Crowd Monitoring and Alert Generation Architecture.- Real-Time Assessment of Live Feeds in Big Data.- Mobile Application to Digitalize Education Volunteer Process.- Emotion Recognition in Human Face Through Video Surveillance- A Survey of state-of-the-art Approaches.- Character Segmentation from Offline Handwritten Gujarati Script Documents.- A Comparative Study of Stylometric Characteristics in Authorship Attribution.- Is Data science and Blockchain a Perfect Match.- Review of Road Pothole Detection using Machine Learning Techniques.
Two-Terminal Reliability Assessments of a Complex System.- AI Based Interactive Agent for Health Care using NLP and Deep Learning.- Simulation of WSN Based Crowd Monitoring and Alert Generation Architecture.- Real-Time Assessment of Live Feeds in Big Data.- Mobile Application to Digitalize Education Volunteer Process.- Emotion Recognition in Human Face Through Video Surveillance- A Survey of state-of-the-art Approaches.- Character Segmentation from Offline Handwritten Gujarati Script Documents.- A Comparative Study of Stylometric Characteristics in Authorship Attribution.- Is Data science and Blockchain a Perfect Match.- Review of Road Pothole Detection using Machine Learning Techniques.
Two-Terminal Reliability Assessments of a Complex System.- AI Based Interactive Agent for Health Care using NLP and Deep Learning.- Simulation of WSN Based Crowd Monitoring and Alert Generation Architecture.- Real-Time Assessment of Live Feeds in Big Data.- Mobile Application to Digitalize Education Volunteer Process.- Emotion Recognition in Human Face Through Video Surveillance- A Survey of state-of-the-art Approaches.- Character Segmentation from Offline Handwritten Gujarati Script Documents.- A Comparative Study of Stylometric Characteristics in Authorship Attribution.- Is Data science and Blockchain a Perfect Match.- Review of Road Pothole Detection using Machine Learning Techniques.
Two-Terminal Reliability Assessments of a Complex System.- AI Based Interactive Agent for Health Care using NLP and Deep Learning.- Simulation of WSN Based Crowd Monitoring and Alert Generation Architecture.- Real-Time Assessment of Live Feeds in Big Data.- Mobile Application to Digitalize Education Volunteer Process.- Emotion Recognition in Human Face Through Video Surveillance- A Survey of state-of-the-art Approaches.- Character Segmentation from Offline Handwritten Gujarati Script Documents.- A Comparative Study of Stylometric Characteristics in Authorship Attribution.- Is Data science and Blockchain a Perfect Match.- Review of Road Pothole Detection using Machine Learning Techniques.