ICT for Intelligent Systems

1. Front Matter

   Pages i-xv

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2. Intrusion Detection Model for IoT Networks Using Graph Convolution Networks(GCN)

   • H. S. Manjula, M. S. Roopa, J. S. Arunalatha, K. R. Venugopal

   Pages 1-12

3. Drowsiness Detection System

   • Dhiren P. Bhagat, Bhavyesh Prajapati, Krutarth Pawar, Darshan Parekh, Param Gandhi

   Pages 13-23

4. A Deep Learning Technique to Recommend Music Based on Facial and Speech Emotions

   • R. Pallavi Reddy, B. Abhinaya, Athkuri Sahithi

   Pages 25-40

5. Smart Chair Posture Detection and Correction Using IOT

   • H. S. Shreyas, G. Satwika, P. Manjunath, M. Shiva, M. Ananda

   Pages 41-51

6. The Opinions Imparted on Singular’s Face

   • K. Pramilarani, K. Ashok, Srinivas Pujala, Hemanth Karnakanti, M. K. Vinaya

   Pages 53-64

7. Abnormal Human Behavior Detection from a Video Sequence Using Deep Learning

   • Muskan Sahetai, Bansari Patel, Radhika Patel, Ritika Jani, Dweepna Garg

   Pages 65-75

8. Role of Deep Learning in a Secure Telemedicine System with a Case Study of Heart Disease Prediction

   • Darshan Singh, Siddhant Thapliyal, Mohammad Wazid, D. P. Singh

   Pages 77-85

9. Comparative Analysis of Chronic Kidney Disease Prediction Using Supervised Machine Learning Techniques

   • K. Poorani, M. Karuppasamy

   Pages 87-95

10. Prediction of PCOS and PCOD in Women Using ML Algorithms

    • M. J. Lakshmi, D. S. Spandana, Harini Raj, G. Niharika, Ashwini Kodipalli, Shoaib Kamal et al.

    Pages 97-115

11. Privacy Preserving Early Disease Diagnosis in Human Nails Using Swarm Learning

    • Aasim Mohammed, P. S. Shrikanth Karthik, Razik Fatin Shariff, Tankala Sunaina, Arti Arya, Pooja Agarwal

    Pages 117-130

12. Skin Cancer Recognition Using CNN, VGG16 and VGG19

    • Yashwant S. Ingle, Nuzhat Shaikh

    Pages 131-144

13. Diagnosis of Cardiovascular Disease Using Machine Learning Algorithms and Feature Selection Method for Class Imbalance Problem

    • Ritika Kumari, Jaspreeti Singh, Anjana Gosain

    Pages 145-153

14. Similarity Based Answer Evaluation in Academic Questions Using Natural Language Processing Techniques

    • S. Santhiya, S. Elavarasan, S. Gandhikumar, M. P. Gowsik

    Pages 155-164

15. Fake News Detection Using Machine Learning and Deep Learning Classifiers

    • C. Nandhakumar, C. Kowsika, R. Reshema, L. Sandhiya

    Pages 165-175

16. Survey on Pre-Owned Car Price Prediction Using Random Forest Algorithm

    • C. Selvarathi, G. Bhava Dharani, R. Pavithra

    Pages 177-189

17. Sentiment Analysis of Youtube Comment Section in Indian News Channels

    • Samank Gupta, S. Kirthica

    Pages 191-200

18. Deep Learning Framework for Speaker Verification Under Multi Sensor, Multi Lingual and Multi Session Conditions

    • Pratham Sanshi, Likhith Reddy Kuruvalli, Satish Chikkamath, R. S. Nirmala

    Pages 201-211

19. DLLACC: Design of an Efficient Deep Learning Model for Identification of Lung Air Capacity in COPD Affected Patients

    • Sruthi Nair

    Pages 213-227

20. Content Based Document Image Retrieval Using Computer Vision and AI Techniques

    • Harsh Bharat Shah, Jyoti Vishnu Joglekar

    Pages 229-239

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 Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

• Information Communication Technology
• ICTIS 2023 Proceedings
• Intelligent Systems
• Information Technologies
• Internet of Things

• Hertfordshire Business School, University of Hertfordshire, Hatfield, UK

  Jyoti Choudrie

• Department of Artificial Intelligence and Data Science, Vishwakarma Institute of Information Technology, Pune, India

  Parikshit N. Mahalle

• University Putra Malaysia, Serdang, Malaysia

  Thinagaran Perumal

• Global Knowledge Research Foundation, Ahmedabad, India

  Amit Joshi

Prof. Jyoti Choudrie is a Professor of Information Systems in Hertfordshire Business School, Management, Leadership and Organisation (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 & 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 is a senior member IEEE and is Professor, Dean Research and Development and Head - Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, Savitribai Phule Pune University and various Universities and autonomous colleges across India. He has 12 patents, 200+ research publications (Google Scholar citations-2750 plus, H index-25 and Scopus Citations are 1400 plus with H index -17, Web of Science citations are 438 with H index - 10) and authored/edited 50+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global –International Journal of Rough Sets and Data Analysis, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence and reviewer for various journals and conferences of the repute. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is guiding 8 PhD students in the area of IoT and machine learning and recently, FIVE students have successfully defended their PhD under his supervision from SPPU. He is also the recipient of “Best Faculty Award” by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level.

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 towards 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 IEEEConsumer 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 the Director of Global Knowledge Research Foundation, 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 different sectors on security purposes. He has an experience of around 10 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 professional societies. 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 5 countries including India, UK, Thailand, Europe.