Advances on Smart and Soft Computing

This book presents the papers included in the proceedings of the 2nd International Conference of Advanced Computing and Informatics (ICACIn'21) that was held in Casablanca, Morocco, on May 2425, 2021. The main theme of the book is Advances on Smart and Soft Computing. A total of 71 papers were submitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics.

Presents research works in the field of computing and informatics Discusses results of ICACIn'2021 held in Casablanca, Morocco Serves as a reference for researchers and practitioners in academia and industry

Auteur

Faisal Saeed is Associate Professor at the Information Systems Department, Taibah University, KSA, since 2017. Previously, he worked as Senior Lecturer at the Department of Information Systems, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia. He received his B.Sc. in Computers (Information Technology) from Cairo University, Egypt, M.Sc. in Information Technology Management and Ph.D. in Computer Science from UTM, Malaysia. He served as General Chair of several international conferences and as Guest Editor in more than 15 scopus and ISI journals. He published more than 80 papers in indexed journals and international conferences. His research interests are data mining, information retrieval and machine learning.
Taw k Al-Hadhrami is Senior Lecturer in Network Infrastructures and Emerging Technologies (NIET) research group at Nottingham Trent University (NTU). He specializes in designs and developments and evaluation of IoT health and hygiene systems to be used in mental health and well-being applications. His research interests include Internet of Things (IoT) and applications, arti cial intelligence (AI), 5G technologies and wireless communications to produce an intelligent system for health and digital technologies. He has been involved in several projects related to design and development with several organizations in the Middle East. He has published several papers in peer-reviewed journals and conferences. He has established collaboration with the different international institutions over the world. He is Associate Editor for several decent journals such as IEEE Access, PeerJ Computer Science and International Journal of Cyber Forensics and Advanced Threat Investigations. He is involved in different projects with industries.
Errais Mohammed is Assistant Professor of Computers Science Department at the Hassan II University, Casablanca, Morocco. He received his Ph.D. in Informatics from Hassan IIUniversity, Mohammadia, Morroco, in 2014. His research interests are networking, management network, virtualization. He published several research papers and participated in several local/international conferences.
Mohammed Al-Sarem received the M.Sc. degree in information technology from the Faculty of Informatics and Computer Engineering, Volgograd State Technical University, Volgograd, Russia Federation, and the Ph.D. degree from the Faculty of Informatics, University of Hassan II Casablanca-Mohammadia, Morocco, in 2007 and 2014, respectively. He is currently Associate Professor with the Information Systems Department, Taibah University, Medina, Saudi Arabia. He is involved in many funded projects. He has published many papers in several high-impact factor journals and participated in managing several international conferences. His current research interests include group decision making, multi-criteria decision making, data mining, machine learning, E-learning, natural language processing and its applications and social network analysis. He received the Application Award from the University of Tomsk Polytechnic, Tomsk, Russia, Scienti c Excellence Award from Yemeni Embassy, Rabat, Morocco, and an appreciation certi cate for outstanding performance, Taibah University, Saudi Arabia, in 2007, 2013 and 2016, respectively.

Contenu
Adaptive Learning Content based on Learning Styles in Learning Management System.- A model-based approach for COVID-19 propagation.- Numerical modeling of the mechanical behavior of recycled flexible PVC loaded with different percentages of chicken feathers.- Covid-19 detection from Pneumonia image classification using Deep Learning.- Towards the Prediction of the Elasticity of Bio Loaded Poly propylene Using Artificial Neural Networks.- Post covid-19: Deep image processing AI to analyze social distancing in a human community