This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Sixth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2022), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Prof. Jyoti Choudrie is a professor of Information Systems in Hertfordshire Business School, Management, Leadership and Organization (MLO) department where she previously led the Systems Management Research Unit (SyMRU) and currently is a convenor for the Global Work, Economy and Digital Inclusion group. She is also Editor-in-Chief for Information, Technology and People journal (An Association of Business School 3 grade journal). In terms of research, Professor Choudrie is known as the Broadband and Digital Inclusion expert in University of Hertfordshire, which was also the case in Brunel University. To ensure her research is widely disseminated, Professor Choudrie co-edited a Routledge research monograph with Prof. C. Middleton: The Management of Broadband Technology Innovation and completed a research monograph published by Routledge Publishing and focused on social inclusion along with Dr. Sherah Kurnia and Dr. Panayiota Tsatsou titled: Social Inclusion and Usability of ICT-Enabled Services. She also works with Age (UK) Hertfordshire, Hertfordshire County Council and Southend YMCA where she is undertaking a Knowledge Transfer Partnership project investigating the role of Online Social Networks (OSN). Finally, she is focused on artificial intelligence (AI) applications in organizations and society alike, which accounts for her interests in OSN, machine and deep learning. She has been a keynote speaker for the International Congress of Information and Communication Technologies, Digital Britain conferences and supervises doctoral students drawn from around the globe. Presently, she is seeking 3 to 4 doctoral students who would want to research Ai in society and organizations alike. Dr. Parikshit Mahalle is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He has his Ph. D from Aalborg University, Denmark, and continued as Post Doc Researcher. He has 21 + years of teaching and research experience. He is a member of Board of Studies in Computer Engineering SPPU, Ex-Chairman Board of Studies (Information Technology)-SPPU and various Universities. He has 9 patents, 200+ research publications (citations-1873, H index-19) and authored/edited 30+ books with Springer, CRC Press, Cambridge University Press, etc. He is the editor in chief for IGI Global-International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global-International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global-International Journal of Ambient Computing and Intelligence. His research interests are algorithms, Internet of things, identity management and security. He has delivered 200 plus lectures at national and international levels. Dr. Thinagaran Perumal received his B.Eng in Computer and Communication System Engineering from Universiti Putra Malaysia in 2003. He completed his MSC and PhD Smart Technologies and Robotics from the same university in 2006 and 2011, respectively. Currently, he is appointed as Senior Lecturer at the Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia. He is also currently appointed as Head of Cyber-Physical Systems in the university and also been elected as Chair of IEEE Consumer Electronics Society Malaysia Chapter. Dr. Thinagaran Perumal is the recipient of 2014 IEEE Early Career Award from IEEE Consumer Electronics Society for his pioneering contribution in the field of consumer electronics. His research interests are toward interoperability aspects of smart homes and Internet of things (IoT), wearable computing and cyber-physical systems. His recent research activities include proactive architecture for IoT systems; development of the cognitive IoT frameworks for smart homes and wearable devices for rehabilitation purposes. He is an active member of IEEE Consumer Electronics Society and its Future Directions Committee on Internet of Things. He has been invited to give several keynote lectures and plenary talk on Internet of things in various institutions and organizations internationally. Dr. Amit Joshi is currently Director of Global Knowledge Research Foundation and also an entrepreneur and researcher who has completed his graduation (B.Tech) in Information Technology and M.Tech in Computer Science and Engineering and completed his research in the areas of cloud computing and cryptography in medical imaging with a focus on analysis of the current government strategies and world forums needs in di¿erent sectors on security purposes. He has an experience of around ten years in academic and industry in prestigious organizations. He is an active member of ACM, IEEE, CSI, AMIE, IACSIT-Singapore, IDES, ACEEE, NPA and many other professionalsocieties. Further currently, he is also the 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. He has also edited more than 20 books which are published by Springer, ACM and other reputed publishers. He has also organized more than 40 national and international conferences and workshops through ACM, Springer, IEEE, across five countries including India, UK, Thailand and Europe.
Inhaltsangabe
Review of Different ML Techniques Used for Heart Disease Prediction.- Image Enhancement by various Segmentation Techniques using Machine Learning.- Sequence to Sequence Video Captioning System.- Stock Price Prediction Using Sentiment Analysis on News Headlines.- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments.- Cyber Security and it's Prediction with Cloud Data Computing and IoT.- A Review on Societal Application of Data Analytics.- Study of Security in Cryptocurrency.- Study And Analysis of Network Steganography Methods.- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques.- On Characteristics of -Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra.- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research.- A Future to the Blockchain Technology and Its Concepts.- Impacts of DDoS attacks in Software Defined Networks.-IoT based Agriculture Trend prediction based on Weather Data.- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function.- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT.- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.
Review of Different ML Techniques Used for Heart Disease Prediction.- Image Enhancement by various Segmentation Techniques using Machine Learning.- Sequence to Sequence Video Captioning System.- Stock Price Prediction Using Sentiment Analysis on News Headlines.- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments.- Cyber Security and it’s Prediction with Cloud Data Computing and IoT.- A Review on Societal Application of Data Analytics.- Study of Security in Cryptocurrency.- Study And Analysis of Network Steganography Methods.- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques.- On Characteristics of κ-Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra.- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research.- A Future to the Blockchain Technology and Its Concepts.- Impacts of DDoS attacks in Software Defined Networks.-IoT based Agriculture Trend prediction based on Weather Data.- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function.- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT.- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.
Review of Different ML Techniques Used for Heart Disease Prediction.- Image Enhancement by various Segmentation Techniques using Machine Learning.- Sequence to Sequence Video Captioning System.- Stock Price Prediction Using Sentiment Analysis on News Headlines.- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments.- Cyber Security and it's Prediction with Cloud Data Computing and IoT.- A Review on Societal Application of Data Analytics.- Study of Security in Cryptocurrency.- Study And Analysis of Network Steganography Methods.- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques.- On Characteristics of -Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra.- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research.- A Future to the Blockchain Technology and Its Concepts.- Impacts of DDoS attacks in Software Defined Networks.-IoT based Agriculture Trend prediction based on Weather Data.- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function.- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT.- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.
Review of Different ML Techniques Used for Heart Disease Prediction.- Image Enhancement by various Segmentation Techniques using Machine Learning.- Sequence to Sequence Video Captioning System.- Stock Price Prediction Using Sentiment Analysis on News Headlines.- A Robust Framework for Governing Blockchain-based Distributed Ledgers during Covid-19 for Academic Establishments.- Cyber Security and it’s Prediction with Cloud Data Computing and IoT.- A Review on Societal Application of Data Analytics.- Study of Security in Cryptocurrency.- Study And Analysis of Network Steganography Methods.- Survey On Driver Fatigue Detection Using Sensors,Big Data Analytics and Machine Learning Techniques.- On Characteristics of κ-Q- Fuzzy Translation and Fuzzy Multiplication in T-Ideals in T-Algebra.- Blockchain driven Smart Healthcare System: Challenges, Technologies and Future Research.- A Future to the Blockchain Technology and Its Concepts.- Impacts of DDoS attacks in Software Defined Networks.-IoT based Agriculture Trend prediction based on Weather Data.- EEG in Optic Nerves Disorder Based on FSVM using Kernel Membership Function.- DDoS DETECTION in ONOS SDN CONTROLLER USING SNORT.- Classification of Keratoconus using Corneal Topography Pattern with Transfer Learning Approach.
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