This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACI...
Sie sparen CHF 78.00
Print on Demand - Exemplar wird für Sie besorgt.
This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACIn 2020), held in Casablanca, Morocco, on April 1213, 2020. It covers a range of topics, including artificial intelligence technologies and applications, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing, machine learning algorithms, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and cloud computing, high-performance computing and computational informatics.
Presents research in various fields of computing and informatics Discusses the outcomes of ICACIn 2020, held at the Faculty of Sciences Ain Chock Casablanca, Hassan II University, Morocco Serves as a reference resource for researchers and practitioners in academia and industry Autorentext Faisal Saeed has been an Assistant Professor at the Information Systems Department, Taibah University, KSA, since 2017. Previously, he worked as a Senior Lecturer at the Department of Information Systems at the Universiti Teknologi Malaysia (UTM). He holds a B.Sc. in Computers (Information Technology) from Cairo University, Egypt; and an M.Sc. in Information Technology Management and Ph.D. in Computer Science from UTM. His research interests include data mining, information retrieval and machine learning. Tawfik Al-Hadhrami is a Senior Lecturer at the School of Science and Technology, Nottingham Trent University, UK. He holds a B.Sc. in Control and Computer Engineering from the University of Technology, Baghdad, Iraq; and an M.Sc. in Information Technology, Applied Systems from the School of Engineering and Physical Sciences at Heriot-Watt University, Edinburgh, UK. Since 2009, he has been a Ph.D. student researcher at the University of the West of Scotland, Paisley, UK. His research interests include wireless and mobile networks and video networking, Internet of Things (IoT), 5G/6G, and Internet protocol networks and applications. Fathey Mohammed received his B.Sc. in Computer Engineering from Isfahan University, Iran, in 2003; his M.Sc. in Information Technology Engineering from the Tarbiat Modares University, Tehran, Iran; and his Ph.D. in Information Systems from the Universiti Teknologi Malaysia (UTM). He is currently a Visiting Senior Lecturer at the School of Computing, Universiti Utara Malaysia (UUM). His research interests include cloud computing, technology innovation adoption, information systems, project management, e-government and e-business. Errais Mohammed is an Assistant Professor at the Computers Science Department at the Hassan II University, Casablanca, Morocco. He received his Ph.D. in Informatics from Hassan II University, Mohammedia, Morocco, in 2014. His research interests include networking, management networks and virtualization. He has published several research papers and participated in various local/international conferences. Inhalt Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributed Model.- Automatic Detection of Diabetic Retinopathy using Custom CNN and Grad-CAM.- A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curves.- SMOTE-ENN Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Classification.- Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classification on Small Datasets.- Yemeni Paper Currency Recognition System Using Deep Learning Approach.- Tuning Hyper-Parameters of Machine Learning Methods for Improving the Detection of Hate Speech.- Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Clinical Datasets.- Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE.- A Parallel Global TFIDF Feature Selection using Hadoop for Big Data Text Classification.