Advances on Smart and Soft Computing

1. Front Matter

   Pages i-xxi

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2. Artificial Intelligence and Data Science

   1. Front Matter

      Pages 1-1

      PDF

   2. Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributed Model

      • El Mehdi Saoudi, Abderrahmane Adoui El Ouadrhiri, Said Jai Andaloussi, Ouail Ouchetto

      Pages 3-13

   3. Automatic Detection of Diabetic Retinopathy Using Custom CNN and Grad-CAM

      • Othmane Daanouni, Bouchaib Cherradi, Amal Tmiri

      Pages 15-26

   4. A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curves

      • Salma Ezziri, Omar Khadir

      Pages 27-35

   5. SMOTE–ENN-Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Classification

      • Mouna Lamari, Nabiha Azizi, Nacer Eddine Hammami, Assia Boukhamla, Soraya Cheriguene, Najdette Dendani et al.

      Pages 37-49

   6. Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classification on Small Datasets

      • Rim Koulali, Hajar Zaidani, Maryeme Zaim

      Pages 51-60

   7. Yemeni Paper Currency Recognition System Using Deep Learning Approach

      • Abdulfattah E. Ba Alawi, Ahmed Y. A. Saeed, Burhan T. Al-Zekri, Borhan M. N. Radman, Alaa A. Saif, Maged Alshami et al.

      Pages 61-69

   8. Tuning Hyper-Parameters of Machine Learning Methods for Improving the Detection of Hate Speech

      • Faisal Saeed, Mohammed Al-Sarem, Waseem Alromema

      Pages 71-78

   9. Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Clinical Datasets

      • Yunus Miah, Chowdhury Nazia Enam Prima, Sharmeen Jahan Seema, Mufti Mahmud, M Shamim Kaiser

      Pages 79-89

3. Big Data Analytics

   1. Front Matter

      Pages 91-91

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   2. Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE

      • Mohammed A. Ko’adan, Mohammed A. Bamatraf, Khalid Q. Shafal

      Pages 93-105

   3. A Parallel Global TFIDF Feature Selection Using Hadoop for Big Data Text Classification

      • Houda Amazal, Mohammed Ramdani, Mohamed Kissi

      Pages 107-117

   4. Robust and Accurate Method for Textual Information Extraction Over Video Frames

      • Soundes Belkacem, Larbi Guezouli

      Pages 119-129

   5. A Deep Learning Architecture for Profile Enrichment and Content Recommendation

      • Fatiha Sadouki, Samir Kechid

      Pages 131-141

   6. Predictive Data Analysis Model for Employee Satisfaction Using ML Algorithms

      • Madara Pratt, Mohcine Boudhane, Sarma Cakula

      Pages 143-152

   7. A Novel Approach for Big Data Monetization as a Service

      • Abou Zakaria Faroukhi, Imane El Alaoui, Youssef Gahi, Aouatif Amine

      Pages 153-165

   8. Ensemble Feature Selection Method Based on Bio-inspired Algorithms for Multi-objective Classification Problem

      • Mohammad Aizat Basir, Mohamed Saifullah Hussin, Yuhanis Yusof

      Pages 167-176

   9. Automated Binary Classification of Diabetic Retinopathy by Convolutional Neural Networks

      • Ayoub Skouta, Abdelali Elmoufidi, Said Jai-Andaloussi, Ouail Ochetto

      Pages 177-187

   10. Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predicting Parkinson’s Disease

       • Mohammed Al-Sarem, Faisal Saeed, Wadii Boulila, Abdel Hamid Emara, Muhannad Al-Mohaimeed, Mohammed Errais

       Pages 189-199

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 12–13, 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.

• Machine Learning
• Deep Learning
• Reinforcement Learning
• Computer Vision
• Natural Language Processing
• Recommender Systems

• College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

  Faisal Saeed

• Department of Computing and Technology, Nottingham Trent University, Nottingham, UK

  Tawfik Al-Hadhrami

• School of Computing, Universiti Utara Malaysia (UUM), Sintok, Malaysia

  Fathey Mohammed

• Faculty of science Ain Chock, Hassan II University of Casablanca, Casablanca, Morocco

  Errais Mohammed

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 theWest 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.

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