Proceedings of International Conference on Computing and Communication Networks

This book includes selected peer-reviewed papers presented at the International Conference on Computing and Communication Networks (ICCCN 2021), held at Manchester Metropolitan University, United Kingdom, during 19-20 November 2021. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for Industry 4.0, and smart and sustainable environmental systems.

Auteur

Ali Kashif Bashir is Associate Professor at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. He is also with Visual Research Intelligent Center, University of Electronics Science and Technology of China (UESTC) as Honorary Professor and Chief Adviser; with University of Science and Technology, Islamabad (NUST) as Adjunct Professor, and with University of Guelph, Canada, as Special Graduate Faculty. He is a senior member of IEEE, member of IEEE Industrial Electronic Society, member of ACM, and distinguished speaker of ACM. He received his Ph.D. in computer science and engineering from Korea University, South Korea. He has authored over 200 research articles; and received over 3 Million USD funding as PI and Co-PI from research bodies of South Korea, Japan, EU, UK and Middle East. His research interests include internet of things, wireless networks, distributed systems, network/cyber security, network function virtualization, machine learning, etc. He is serving as the editor-in-chief of the IEEE FUTURE DIRECTIONS NEWSLETTER. He is also serving as the area editor and associate editor in several top ranking journals. He is leading many conferences as a chair (program, publicity, and track) and had organized workshops in flagship conferences like IEEE Infocom, IEEE Globecom, and IEEE Mobicom.

Giancarlo Fortino (SM'12) is Full Professor of Computer Engineering at the Department of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a Ph.D. in Computer Engineering from Unical in 2000. He is also Distinguished Professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST (China), Senior Research Fellow at the Italian ICAR-CNR Institute, CAS PIFI Visiting Scientist at SIAT-Shenzhen, and Distinguished Lecturer for IEEE Sensors Council. He is Web of Science Highly Cited Researcher 2020. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. He is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is author of 500+ papers in int'l journals, conferences, and books. He is (founding) Series Editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of many int'l journals such as IEEE TAC, IEEE THMS, IEEE IoTJ, IEEE SJ, IEEE JBHI, IEEE SMCM, IEEE OJEMB, IEEE OJCS, Information Fusion, JNCA, EAAI, etc. He organized as chair many int'l workshops and conferences (100+), was involved in a huge number of int'l conferences/workshops (500+) as IPC member, is/was guest-editor of many special issues (60+).

Ashish Khanna [M'19, SM'20] received his Ph.D. degree from National Institute of Technology, Kurukshetra, in March 2017. He has completed his M. Tech. in 2009 and B. Tech. from GGSIPU, Delhi, in 2004. He has completed his Post-Doc (PDF) from Internet of Things Lab at Inatel, Brazil,, in 2018. He has around 152 accepted and published research papers and book chapters in reputed SCI, Scopus journals, conferences and reputed book series including 82 papers accepted in SCI indexed Journals. He also has 4 published Patents to his credit. Additionally, He has authored, edited and editing around 40 books. He has also served as a keynote speaker, resource person and given several invited. He has worked as Guest Editor in several reputed journals. He is also serving as Series Editor in publishing houses like De Gruyter (Germany) of "Intelligent Biomedical Data Analysis" series, Elsevier of "Intelligent Biomedical Data Analysis" and CRC Press of "Intelligent Techniques in Distributed Systems: Principles and Applications". He is also acting as a consulting editor for Elsevier. His research interest includes, Distributed Systems and its variants (MANET, FANET, VANET, IoT), machine learning. He is the recipient of 2021 IEEE System Council Best Paper Award. He is serving as convener in some springer international conferences series like ICICC, ICDAM, and DoSCI. He is a senior IEEE member (SMIEEE) and ACM member too. He has played key role in promoting and initiating several startups and is also a startup consultant.

Deepak Gupta [M'19, SM'20] received a B.Tech. degree in 2006 from the Guru Gobind Singh Indraprastha University, Delhi, India. He received M.E. degree in 2010 from Delhi Technological University, India and Ph. D. degree in 2017 from Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow, India. He has completed his Post-doc from National Institute of Telecommunications (Inatel), Brazil, in 2018. He has co-authored more than 192 journal articles and 44 conference articles. He has authored/edited 50 books, published by IEEE-Wiley, Elsevier, Springer, Wiley, CRC Press, DeGruyter, and Katsons. He has filled four Indian patents. He is convener of ICICC, ICDAM, and DoSCI Springer conferences series. Currently, he is Associate Editor of Expert Systems (Wiley), and Intelligent Decision Technologies (IOS Press). He is the recipient of 2021 IEEE System Council Best Paper Award. He has been featured in the list of top 2% scientist/researcher database in the world [Table-S7-singleyr-2019]. He is also working towards promoting startups and also serving as a startup consultant. He is also a series editor of "Elsevier Biomedical Engineering" at Academic Press, Elsevier, "Intelligent Biomedical Data Analysis" at De Gruyter, Germany, "Explainable AI (XAI) for Engineering Applications" at CRC Press.

Contenu

Chapter 1. Intelligent System for Acquiring Knowledge by Converting Arabic Speech to Text.- Chapter 2. Towards a Deep Learning Approach for Automatic GUI Layout Generation.- Chapter 3. Insurance Sales Forecast Using Machine Learning Algorithms.- Chapter 4. Data Understanding and Preparation in Business Domain: Importance of Meta-Features Characterization.- Chapter 5. Ensemble Learning with CNN-LSTM combination for Speech Emotion Recognition.- Chapter 6. Novel WSN Localization Optimization Algorithm using MVCRSA.- Chapter 7. An Enhanced QR Code-based Smart Parking System for Mobile Environment.- Chapter 8. Traffic Congestion Analysis in India and Fluid Flow Reduction Loss Theory.- Chapter 9. Building an AI/ML based Classification Framework for Dark web Text data.- Chapter 10. Speech Gender Recognition using a Multilayer Feature Extraction Method.- Chapter 11. Speech Age Estimation using a Ranking Convolutional Neural Network.- Chapter 12. Efficient Data Aggregation Strategy in Wireless Sensor Networks: Challenes and Significant Applications.- Chapter 13. An Internet of Things Empowered Disaster Management Framework.- Chapter 14. Priority-based Buffer Management Technique against dropping attack in Opportunistic Networks.- Chapter 15. Automatic Health Speech Prediction System Using Support Vector Machine.