Advances in Machine Intelligence and Computer Science Applications: Proceedings of the International Conference ICMICSA’2022

Description

This book encloses latest and advanced researches on artificial intelligence and its applications in computer science. It is an interesting book that aims to help students, researchers, industrialists, and policymakers understand, promote, and synthesize innovative solutions and think of new ideas with the application of artificial intelligence concepts. It also allows to know the existing scientific works and contributions in the literature. This book identifies original research in new directions and advances focused on multidisciplinary areas and closely related to the use of artificial intelligence in applications of computer science, communication, and technology. The present book contains selected and extended high-quality papers of the 1st international conference on Machine Intelligence and Computer Science Applications (ICMICSA’2022). It is the result of a reviewed, evaluated, and presented work in ICMICSA’2022 held on November 28–29, 2022, in Khouribga, Morocco. Preface Contents Artificial Intelligence A New Adaptation Mechanism of the ALNS Algorithm Using Reinforcement Learning 1 Introduction 2 Background Concepts 2.1 Problem Definition and Mathematical Formulation 2.2 Adaptive Large Neighborhood Search 2.3 Operator Selection and Adaptive Mechanism 3 Proposed Method 4 Computational Experiments 5 Conclusion References A Solution Based on Faster R-CNN for Augmented Reality Markers' Detection: Drawing Courses Case Study 1 Introduction 2 Related Works 2.1 Augmented Reality (AR) 2.2 AR in E-learning 3 The Proposed Solution 3.1 The Purpose of the Study 3.2 Participants 3.3 Research Method 4 Findings 5 Discussion and Conclusion References Long-Term Average Temperature Forecast Using Machine Learning and Deep Learning in the Region of Beni Mellal 1 Introduction 2 Related Work 3 Methodology 4 Study Area 5 Results and Discussion 6 Conclusion References Unsupervising Denoising Model Based Generative Adversarial Networks 1 Introduction 2 Related Work 3 Methods 3.1 Convolutional Neural Networks 3.2 Generative Adversarial Networks 4 Our Approach 5 Experiments 5.1 Model Architecture and Collections 5.2 Corruptions 5.3 Baselines 5.4 Results 6 Conclusion References Meta-heuristic Algorithms for Text Feature Selection Problems 1 Introduction 2 Text Clustering and Preprocessing Steps for Feature Selection Problems 2.1 Preprocessing 2.2 Vector Space Model 2.3 Text Clustering 3 Text Feature Selection Problem 3.1 Wrapper Methods 3.2 Filter Methods 3.3 Embedded Methods 3.4 Hybrid Methods 3.5 Mathematical Model 4 Meta-heuristics Approaches 5 Experimental Results 5.1 Datasets and Evaluation Criteria 5.2 Results 6 Conclusion References MYC: A Moroccan Corpus for Sentiment Analysis 1 Introduction 2 Related Works 3 Challenges of Sentiment Analysis in Arabic Dialects 3.1 Morphological Analysis 3.2 Arabic Dialect 3.3 Arabizi 4 MYC (Moroccan YouTube Corpus) 5 Experiments and Results 5.1 Comments Processing 5.2 Feature Selection 5.3 Classifiers 5.4 Results and Discussion 6 Conclusion References Feature Selection for Text Classification Using Genetic Algorithm 1 Introduction 2 Background and Literature Review 2.1 Text Classification 2.2 Feature Selection and Approaches 2.3 Genetic Algorithm 2.4 GA for Feature Selection 2.5 Related Work on GA for Feature Selection 3 Comparison Performance Metrics 3.1 Text Representation 3.2 Classifier Used 3.3 Description of Datasets 3.4 The Experiments 4 Conclusion References Machine Learning Methods in the Detection of Type 2 Diabetes Mellitus Risk Factors 1 Introduction 2 Methods 2.1 Dataset 2.2 Variables Description 3 Results 3.1 Bivariate Analysis 3.2 Data Mining 3.3 Methods Comparison 4 Conclusion References A Survey of Deep Learning Based Natural Language Processing in Smart Healthcare 1 Introduction 2 Distributed Representation: Word Embedding 2.1 Word2Vec 2.2 Global Vectors Glove 2.3 Bidirectional Encoder Representations from Transformers (BERT) 3 Deep Learning Models for NLP 3.1 Convolutional Neural Networks CNNs 3.2 Recurrent Neural Networks RNNs 4 Applications of Deep Natural Language Processing in Healthcare 4.1 Medical Text Classification 4.2 Clinical Predictions 4.3 Information Extraction 4.4 Summary Table 5 Analysis and Discussion 6 Conclusion and Perspectives References Machine Learning-Based Classification of Leukemia Comparative Study 1 Introduction 2 Related Works 3 Gene Expression Dataset 4 Adopted Classifiers 4.1 Support Vector Machine (SVM) 4.2 Random Forest (RF) 4.3 K-Nearest Neighbor (KNN) 4.4 Naïve Bayes (NB) 4.5 Logistic Regression (LR) 5 Experimentations and Results 5.1 Performance Metrics 5.2 Conclusion References Machine Vision A Deep Learning Approach for Hand Gestures Recognition 1 Introduction 2 Related Works 3 Proposed Solution 3.1 Dataset 3.2 Pre-processing 3.3 Model Architecture 4 Results and Discussion 5 Conclusion and Future Works References A Review on Video-Based Heart Rate, Respiratory Rate and Blood Pressure Estimation 1 Introduction 2 Contact-Based Heart Rate, Blood Pressure and Respiratory Rate Monitoring 2.1 Photoplethysmography 2.2 Traditional Vital Signs Monitoring 3 Methods for Non-contact Vital Signs Estimation 3.1 General Approach 3.2 Region of Interest Detection and Tracking 3.3 Signal Extraction 3.4 Blood Pressure Estimation 3.5 Heart Rate Estimation 3.6 Respiratory Rate Estimation 4 Discussion 5 Conclusion References Arabic Handwritten Characters Recognition by Combining PHOG Descriptor with Ensemble Methods 1 Introduction 2 Related Works 3 Methods 3.1 Feature Extraction 3.2 Classification 4 Experiments and Results 4.1 Experiment 1 4.2 Experiment 2 4.3 Discussion of the Results and Comparative Study 5 Conclusion References Emotion Recognition Techniques 1 Introduction 2 A General Flow for Recognizing Facial Emotions 3 Face Detection, Dimension Reduction and Normalization 4 Feature Extraction 5 Emotion Classification 6 Conclusion References A Deep Convolutional Neural Networks Approach for Word-Level Handwritten Script Identification Using a Large Dataset 1 Introduction 2 Related Works 3 The Proposed Approach 3.1 Dataset 3.2 Preprocessing 3.3 Description of CNN Architecture 4 Experiments and Results 5 Conclusion References Arabic Sign Language Analysis and Recognition 1 Introduction 2 Related Work 2.1 Alphabet Recognition 2.2 Recognition of Isolated Words 2.3 Continuous Sign Language Recognition 3 Methodology 4 Experiments 4.1 Alphabet Dataset: Static Signs 4.2 Isolated Words Dataset: Single Sign Gestures 5 Results and Discussion 5.1 Deductions 5.2 Discussion 6 Conclusion and Future Work References Masked Facial Recognition Using Deep Metric Learning 1 Introduction 2 Related Work 3 Methodology 3.1 Dataset 3.2 Our Neural Network Architecture 3.3 Face Recognition Process 4 Result and Discussion 5 Conclusion References Intelligent Systems Hardware Software Co-design Approch for ECG Signal Analysis 1 Introduction 2 Literature 2.1 ECG Signal Denoising Literature 2.2 Embedded Systems HW/SW Co-design Literature 3 Methodology 3.1 ECG Signal Denoising Algorithm Choice 3.2 HW/SW Co-design for the Chosen ECG Denoising Algorithm 3.3 Verification Tools 4 Results and Validation 4.1 Algorithm Choice 4.2 Chosen Algorithm Description 4.3 Chosen Algorithm Design 5 Conclusion References Dynamic Output Feedback Controller Design for a Class of Takagi-Sugeno Models: Application to One-Link Flexible Joint Robot 1 Introduction 2 System Description 3 Feedback Controller Design 4 Observer Design 5 Main Result 6 Application to One-Link Flexible Joint Robot 7 Conclusion References Solution Based on Mobile Web Application to Detect and Treat Patients with Mental Disorders 1 Introduction 2 Description of the Proposed Solution 2.1 Technical Presentation of Solution 2.2 Psychological Tests Used in the Solution 2.3 How the Application Works 3 Discussion 4 Conclusion 5 Declarations References An Unsupervised Voice Activity Detection Using Time-Frequency Features 1 Introduction 2 Methodology 2.1 Speech Corpus 2.2 Method Description 2.3 Evaluation Measurement 3 Results and Discussion 4 Conclusion and Future Work References Dimensionality Reduction for Predicting Students Dropout in MOOC 1 Introduction 2 Related Works 3 Data 3.1 Data Presentation 3.2 Feature Engineering 4 Methodology 4.1 Features Selection 4.2 Data Transformation 4.3 Used Techniques 5 Results 6 Conclusion References Remote Heart Rate Measurement Using Plethysmographic Wave Analysis 1 Introduction 2 Related Works: Overview 3 Proposed Methods 3.1 Reviews of the Existing Methods 3.2 Heart Rate Extraction Method 4 Results and Discussion 5 Conclusion References IoT and Networks An Online Model for Detecting Attacks in Wireless Sensor Networks 1 Introduction 2 Literature Survey 3 Online Learning for Attack Detection in WSNs 4 Methodology 4.1 WSN Detection System Design 4.2 The Structure of the Proposed Model 5 Experimental Results and Comparisons 5.1 Dataset Descriptions 5.2 Performance Metrics and Evaluation 5.3 Results and Findings 5.4 Comparative Analysis 6 Conclusion References An IoT Ecosystem-Based Architecture of a Smart Livestock Farm 1 Introduction 2 Smart Livestock Farming Using IoT Technologies 2.1 IoT Technologies 2.2 IoT Applications for the Smart Livestock Farm 3 The Smart Livestock Farm Architecture 3.1 Schematic Diagram of the Smart Livestock Farm 3.2 Data Flow Chart 3.3 Illustration of the Multi-layer IoT-based Smart Farm 4 Livestock Monitoring System Modeling 4.1 Use Cases Overview 4.2 System Process Interactions 5 Conclusion References Energy-efficient Next Hop Selection for Topology Creation in Wireless Sensor Networks 1 Introduction 2 Related Works 3 Proposed Method 3.1 Polygon Computation 3.2 Next Hop Selection 4 Experiments and Results 5 Conclusion References Physical Layer Parameters for Jamming Attack Detection in VANETs: A Long Short Term Memory Approach 1 Introduction 2 Related Works 3 Methodology 3.1 Overview 3.2 Data Preparation 3.3 Model Architecture 4 Results and Discussion 4.1 Dataset 4.2 Results 4.3 Discussion 5 Conclusion References Big Data and Business Intelligence An Improved Active Machine Learning Query Strategy for Entity Matching Problem 1 Introduction 2 Formal Definitions 3 Entity Matching Process 4 Related Work 5 Problematic 6 Proposed Approach 7 Experimental Evaluation 7.1 Experimental Setup 7.2 data-Sets 7.3 Results 8 Conclusion References Study of COVID19 Impact on Moroccan Financial Market Based on ARDL 1 Introduction 2 Related Work 3 Hypothesis Development 4 Methodology 4.1 Research Model 4.2 Data and Description 5 Results and Discussion 5.1 Descriptive Statistics 5.2 Stationnarity (Unit Root Tests) 5.3 ARDL Estimation 5.4 Forecasting Results 6 Conclusion References Augmented Analytics Big Data Warehouse Based on Big Data Architecture and LOD System 1 Introduction 2 Related Work 2.1 Proposed Architecture 2.2 Data Sourcing 2.3 Data Integration 2.4 Processing and Modeling References Analyzing Instagram Images to Predict Personality Traits 1 Introduction 2 Related Work 3 Methodology 3.1 Database 3.2 Features 4 Result and Discussion 4.1 Relationship Between Personality and Image Features 4.2 Personality Prediction from Shared Images 5 Conclusion References Heuristic Algorithm for Extracting Frequent Patterns in Transactional Databases 1 Introduction 2 Background and Literature Review 2.1 Frequent Itemset Mining 2.2 Apriori Algorithm 2.3 Related Work on Metaheuristic-Based FIM Methods 3 Comparison Performance Metrics 3.1 Description of Datasets 3.2 Performance Metrics 4 Conclusion References Author Index