Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022

Organization Preface Contents Machine Learning Anti-electricity Stealing Detection Based on Recurrent Neural Network 1 Introduction 2 Build the Model 3 Anti-stealing Algorithm Detection Implementations 3.1 Data Preprocessing 3.2 Anti-electricity Stealing Detection Based on Clustering Algorithm 3.3 Anti-theft Detection Based on BP Neural Network 4 Anti-electricity Stealing Detection Based on Recurrent Neural Network 5 Conclusion References Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images Using Transformers 1 Introduction 2 Related Work 3 Methodology 3.1 ROAR-TR Architecture 3.2 ROAR-TR Training 4 Experiments and Results 4.1 Experiments Pre-training 4.2 Standard Foreground Segmentation Experiment 4.3 Few-Shot Foreground Segmentation Experiment 4.4 Ablation Study 5 Conclusion References Adaptive Collaborative Learning Process in a Hybrid Model 1 Introduction 2 Hybrid Learning 2.1 Benefits of Hybrid Learning 2.2 Challenges of Hybrid Learning 3 Proposed Model 4 Collaborative Learning 4.1 Collaborative Learning Scenario 4.2 Assignment of Roles 5 Numerical Results 6 Conclusion References Overview of Gradient Descent Algorithms: Application to Railway Regularity 1 Introduction 2 Context 3 Optimization Techniques 3.1 Gradient Descent Algorithm 3.2 Ordinary Gradient Descent 3.3 Gradient Descent Optimization Algorithm 4 Related Works 5 Case Study 5.1 Dataset Overview 5.2 Data Visualization 5.3 Results 6 Discussion of Simulation Results 7 Conclusion References Major Role of Artificial Intelligence, Machine Learning, and Deep Learning in Identity and Access Management Field: Challenges and State of the Art 1 Introduction 2 I&AM: Definitions and Background 2.1 Definition of I&AM and Its Processes 3 AI, Machine Learning, Deep Learning: Background, Basic Principles and Project Management Approach 3.1 Background and Basic Principles 3.2 Project Management Approach: CPMAI Methodology 4 AI, ML and DL in I&AM Field: The Main Challenges 4.1 Identification 4.2 Authentication 4.3 Authorization 4.4 Auditing and Monitoring 4.5 Accountability 5 AI in I&AM: A State of the Art 5.1 Identification 5.2 Authentication 5.3 Authorization 5.4 Auditing and Monitoring 5.5 Accountability 6 Discussion and Analysis 6.1 Identification 6.2 Authentication 6.3 Authorization 6.4 Auditing and Monitoring 6.5 Accountability 7 Challenges and Future Research Direction 8 Conclusion References Analysis of Feature Selection Methods for Network Traffic Classification 1 Introduction 2 Related Work 3 Background of Machine Learning and Feature Selection 3.1 Machine Learning 3.2 Feature Selection 4 The Proposed Method 4.1 Dataset 4.2 Architectures 4.3 Validation 5 Experimental Results 5.1 Encrypted Data 5.2 Non-encrypted data 6 Conclusion References MOOC Video Classification Using Natural Language Processing and Machine Learning Model 1 Introduction 2 Related Work 3 Proposed Framework 3.1 Build the Machine Learning Dataset 3.2 Model Training 3.3 Evaluating the Model 4 Experimentation and Results 5 Conclusion and Future Work References A Problem and Project-Based Learning Strategy to Promote Students’ Motivation in Post-pandemic Graduation Design Studio: A Prospective Comparative Study 1 Introduction 2 Post Pandemic Graduation Design Studio 2.1 Nature of Graduation Design Studio 2.2 Stages of Graduation Design Process 3 Fundamental Factors of PPBL Strategy in Design Studio 3.1 Concept of PPBL Strategy 3.2 Students’ Motivation and PPBL Strategy 3.3 Application of PPBL Strategy in Graduation Design Studio 4 Methodology 4.1 Course Overview and Learning Method 4.2 Participants 4.3 Course Grades Evaluation 4.4 Statistical Analysis 5 Results and Discussion 5.1 General Information 5.2 Technical Preferences for Blended Learning 5.3 Course Outcome Survey 5.4 Advantages and Disadvantages of PPBL 5.5 Students’ Performance 6 Conclusion References An Efficient 2-Stages Classification Model for Students Performance Prediction 1 Introduction 2 Related Work 3 Methodology 4 Dataset 5 Classifiers 6 Experimental Results and Discussion 7 Environment 8 Evaluation Measures 9 Results and Discussion 10 Conclusion and Future Work References A Straggler Identification Model for Large-Scale Distributed Computing Systems Using Machine Learning 1 Introduction 2 The Proposed Model for Straggler Identification Using Machine Learning 2.1 Parameter Selection 2.2 Model Training 2.3 Machine Learning Models 3 Simulation Results and Discussion 3.1 Benchmarks 3.2 Performance Evaluation 4 Conclusion References The Application of Artificial Intelligence in Real Estate Valuation: A Systematic Review 1 Introduction 2 Research Objectives 3 Literature Review 4 Big Data, Artificial Intelligence, and Machine Learning in Real Estate Valuation 5 Research Methodology 6 Research Questions 7 Inclusion/Exclusion Criteria 8 Data Sources and Search Strategies 9 Quality Assessment 10 Study Results and Discussion: 11 Conclusion 12 Limitations and Further Studies References Agency Theory: Designing Optimal Incentives in the Insurance Sector 1 Introduction 2 Principal-Agent Contract Definition at an Insurance Company 2.1 Main Concepts Definition 2.2 Removing the Stochastic Nature of the Contract Types 2.3 Estimating the Agent's Effort Function 2.4 Properties and Method Proposed 3 Practical Case 4 Conclusions References Deep Learning and Applications Face Mask Detection by Using Deep Learning with the Generative Adversarial Network-Based Feature 1 Introduction 2 Related Works 3 The Proposed Method 3.1 The Proposed GAN Model for Extracing Robust Learning Features 3.2 The Proposed Face Mask Detection and Classification by Using YOLOv5 4 Experimental Results 5 Conclusion References Face Recognition Based on Deep Learning and HSV Color Space 1 Introduction 2 Related Work 3 The Proposed Method 4 Experimental Results 5 Conclusion References A Proposed Model for Fake Media Detection Using Deep Learning Techniques 1 Introduction 2 Related Work 3 Exposed Deepfake Videos 3.1 Creating Deepfake 3.2 Training 3.3 Video Generation 4 Methodology 5 Experiments 5.1 Datasets 5.2 Results 5.3 Metrics for Evaluation 6 Conclusions and Future Research Directions References A Comparison of Deep Learning Techniques for Corrosion Detection 1 Introduction 2 Related Work 3 Preliminaries 3.1 Deep Learning 3.2 Transfer Learning 4 Methodology 4.1 Dataset Preparation 4.2 Evaluation Metrics 4.3 Training the Models 5 Results and Discussion 5.1 Results 5.2 Discussion 5.3 Conclusion References Pleural Effusion Detection Using Machine Learning and Deep Learning Based on Computer Vision 1 Introduction 2 Problem Formulation 3 System Model 3.1 Dataset Collection 3.2 Model (1): Pleural Effusion Detection Using Machine Learning 3.3 Model (2): Pleural Effusion Detection Using Deep Learning Algorithms 4 Simulation Result and Discussion 4.1 Result of Model (1) Pleural Effusion Detection Using Machine Learning 4.2 Result of Model (2) Pleural Effusion Detection Using Deep Learning 5 Conclusion References Explainable Artificial Intelligence Powered Model for Explainable Detection of Stroke Disease 1 Introduction 2 Background 3 Literature Review 4 Dataset and Proposed Model Techniques 4.1 Data Acquisition 4.2 Data Preprocessing 4.3 Proposed Model 5 Results and Discussion 5.1 Predicated Result 5.2 Global Explanation 5.3 Local Explanation 6 Conclusion and Future Work References Research on Two-Wheeled Vehicle Entry Ban System Based on Deep Learning 1 Introduction 2 Overall System Scheme 2.1 Hardware Components 2.2 System Flow Chart 3 Acquisition of Video Images 3.1 Video Image Pre-processin 3.2 Motion Object Extraction 4 Elevator Entry Prohibition System 4.1 Selection of Detection and Recognition Algorithms 4.2 Forbidden to Enter the System Feedback Brake Part 5 Experimental Results and Analysis 5.1 Collection of Datasets 5.2 Comparative Results 6 Conclusion References Detection of Coronavirus (COVID-19) Associated Pneumonia Based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model Using Chest X-ray Dataset 1 Introduction 2 Related Works 3 Generative Adversarial Networks and Deep Transfer Learning 3.1 GAN Architecture 3.2 Deep Transfer Learning Networks 4 Datasets Characteristics 5 Proposed Model 5.1 The Augmentation Process Using Generative Adversarial Networks (GAN) 6 Experimental Results 6.1 Confusion Matrix and Testing Accuracy 6.2 Performance Evaluation 7 Conclusions and Future Works References Alzheimer’s Disease Multi-class Classification Model Based on CNN and StackNet Using Brain MRI Data 1 Introduction 2 Related Work 3 Methodology 3.1 Deep Convolutional Neural Network 3.2 Ensemble Learning Using StackNet 3.3 Dataset 3.4 Data Preprocessing 3.5 Feature Engineering 3.6 Handling Imbalanced Class 4 Implementation Details 5 Results 6 Conclusion References Content-Based Image Retrieval Using Fused Convolutional Neural Networks 1 Introduction 2 Content-Base Image Retrieval Approaches 2.1 Traditional Methods 2.2 Deep Learning Techniques 2.3 Evaluation Metrics 3 Content-Based Image Retrieval Proposed Models 3.1 Convolution Neural Network Model 3.2 CNN+LSTM Model 3.3 CNN+GRU Model 4 Dataset Collection 5 Experimental Results 6 Conclusion References Windows Malware Detection Using CNN and AlexNet Learning Models 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Detection Approach 3.2 Visualizing Malware as Image 3.3 Dataset 4 Results 5 Conclusion References Control and Real-Time System Assistive Technology for the Visually Impaired Using Computer Vision and Image Processing 1 Introduction 2 Previous Work 3 Proposed Methodolgy 3.1 Face Recognition 3.2 Object Detection 3.3 Color Detection 3.4 Text Detection (OCR) 3.5 Currency Recognition 3.6 Obstacle Detection 3.7 Mobile Application 4 Experimental Results 4.1 Face Recognition 4.2 Object Detection 4.3 Color Detection 4.4 Text Detection 4.5 Currency Recognition 4.6 Obstacle Detection 5 Conclusion and Future Work References Reducing Voltage Sag and Swell in Medium Voltage Distribution Networks by Using a Developed Dynamic Control Method 1 Introduction 2 The Architecture of the DVR 3 Design Structure of the Proposed Control Circuit 4 Simulation and Modeling Results 5 Conclusion Appendix References A Survey of Concurrency Control Algorithms in Collaborative Applications 1 Introduction 2 Operation Transformation 3 OT Capabilities 4 Conflict-Free Replicated Data Type 5 Conclusion References Touchless Secure QR-Based ATM System 1 Introduction 2 Related Work 2.1 QR Code and ATM Camera 2.2 Hand Gesture Recognition 3 Proposed System 3.1 System Architecture 3.2 Database Structure 3.3 Transaction Status 3.4 QR Code Generation 3.5 Cash Withdrawal Workflow 3.6 Cash Deposit Workflow 3.7 Security Countermeasures 3.8 System Screenshots 4 Results 5 Conclusion References An Enhanced Object Detection Model for Scene Graph Generation 1 Introduction 2 Related Work 2.1 Scene Graph Generation 2.2 Unbiased Scene Graph Generation 3 Object Detection 3.1 Faster R-CNN 3.2 YOLOv5 4 Experiments and Results 4.1 Dataset Setup 4.2 Evaluation Metrics 4.3 Training Setup 4.4 Performance Comparison 5 Conclusion References Using Gamification in Egyptian E-Government 1 Introduction 2 Gamification 3 Gamification and E-Government 4 E-Government Gamification Model 4.1 Citizen Account Creating Module 4.2 Pay/Renew Request Module 4.3 Points Calculation Module 4.4 Points Transformation Module 5 Citizen Sentiment Analysis 6 Conclusion and Future Work References Real Time Adaptive GPS Trajectory Compression 1 Introduction 2 Related Work 3 Problem Definition 4 Proposed Model 4.1 Fixed Window Segmentation 4.2 Fuzzy Sampling Compression 4.3 Fuzzy Sampling Window Segmentation 5 Experimental Results 6 Conclusion References Research on Cable Surface Quality Inspection System and Method Based on Image Processing Technology 1 Introduction 2 System Solutions 2.1 Cable Image Acquisition System 2.2 System Architecture Design and Flow 2.3 Cable Defect Identification 3 Cable Image Pre-processing 3.1 Edge Detection Techniques 4 Cable Defect Image Classification 5 Analysis of Results References A Robust Privacy Preserving Approach for Sanitizing Transaction Databases from Sensitive High Utility Patterns 1 Introduction 2 Related Works 3 Preliminaries 3.1 Sensitive High Utility Itemset 3.2 Hiding a Sensitive High Utility Itemset 3.3 Positive and Negative Coverage of Items and Transactions 3.4 The Generic Framework for the Privacy Preserving Utility Mining Process 4 The Proposed SB2VF 5 Evaluation of the Proposed Approach 6 Conclusion References Improving the Emergency Department by Using Simulation and Optimization 1 Introduction 2 Related Work 3 Proposed Model 3.1 Problem Definition 3.2 Problem Statement 3.3 Data Generation 3.4 Statistical Analysis 3.5 Proposed DES 3.6 Proposed Multi-objective Optimization Model 3.7 Conclusion References Effect of Inertia Weight of PSO Used to Solve the Continuous p-Center Location Problems 1 Introduction 2 PSO 2.1 The Basic Steps of PSO for the p-Center Location Problem 3 Experiments and Discussion on the Results 3.1 Problem (1): TSPLIB (“EGYPT”) Instance 3.2 Problem (2): TSPLIB (“USA”) Instance 3.3 Problem (3): TSPLIB (“ITALY”) Instance 4 Conclusions References The Future of Education-A Survey of Current Scientific Research Trends 1 Introduction 2 Terms of Reference 3 The Bibliometric Approach: State of the Art 4 Research Methodology 5 Presentation and Analysis of Results 5.1 General Characteristics of the Main Research Categories 5.2 Technological Innovations in Education 5.3 Pedagogical Innovations in Education 5.4 Education in the Age of Covid-19 6 Conclusion and Perspectives References Digital Twin in Facility Management Operational Decision Making and Predictive Maintenance 1 Introduction 2 Scope and Structure of the Paper 3 Methodology 4 Data Collection 5 Scientometric Analysis 6 Scientometric Result 7 The Reviewed Sample Size 8 Discussion 9 Research Limitations and Future Studies 10 Conclusion References CORAS Model for Security Risk Assessment in Advanced Metering Infrastructure Systems 1 Introduction 2 Preliminaries 2.1 Advanced Metering Infrastructure 2.2 CORAS Risk Assessment Model 3 CORAS Model for Security Risk Assessment in AMI 4 Conclusion References Business Intelligence Investment Efficiency and Corporate Governance and How They Could Impact Voluntary Disclosure: Study in the UK Stock Market 1 Introduction 2 Materials and Methods 3 Results 4 Conclusion and Limitation References Investigation of the Key Internal Factors Influencing Building a Risk Management Culture that Supports the Diffusion of Innovation 1 Introduction 2 Research Importance and Objectives 3 Literature Review 3.1 Organization Culture (OC) 3.2 Organization Structure (OST) 3.3 Organization Strategy (STR) 3.4 Organization Knowledge Sharing (KS) 3.5 Information Technology (IT) 3.6 Diffusion of Innovation (DOINV) 4 Research Model and Methodology 4.1 Personal Interview 5 Analysis 5.1 Frequency Table 6 Discussion 6.1 Organization Culture (OC) 6.2 Organization Structure (OST) 6.3 Organization Strategy (STR) 6.4 Knowledge Sharing (KS) 6.5 Information Technology (IT) 6.6 Risk Management (RM) and Diffusion of Innovation (DOINV) 7 Managerial Implications 8 Limitations and Future Research Venues References The Impact of Corporate Entrepreneurship on Corporate Performance: The Moderating Role of Digital Readiness in the Banking Sector 1 Introduction 1.1 Research Purpose 1.2 Problem Statement 1.3 Research Questions and Model 2 Literature Review 2.1 Moderating Role of Digital Readiness 2.2 Role of Corporate Entrepreneurship in Digital Readiness 2.3 Performance of the Banking Industry 2.4 Banking Industry Facing Challenges in Managing Technology 3 Literature Synthesize 4 Similarities and Differences Based on Articles Themes 4.1 Similarities Based on Articles Themes 4.2 Differences Based on Articles Themes 5 Limitations 6 Conclusion References Factors Affecting Customers’ Happiness: A Systematic Review in the Service Industries 1 Introduction 2 Literature Review 2.1 Customer Happiness 2.2 Customer Satisfaction 2.3 Customer Loyalty 2.4 Customer Trust 3 Research Objectives 4 Research Importance 5 Method 5.1 Inclusion and Exclusion Criteria 5.2 Data Sources and Search Strategy 5.3 Quality Assessment 6 Data Coding and Analysis 7 Results 7.1 R.Q. 1: Distribution of Research Purposes 7.2 R2: What are the Main Research Methods for Selected Studies 7.3 RQ3: Distribution of the Studies by Disciplines/Contexts 7.4 R4: What are the Active Countries in the Context of the Selected Studies 7.5 RQ5: Distribution According to the years of Publication 7.6 RQ6: Databases that Published Articles 8 Research Proposed Hypotheses 9 Research Proposed Model 10 Conclusion References The Role of Strategic Entrepreneurship Requirements in Promoting Competitive Advantage at Al-Balqa Applied University 1 Introduction 1.1 Significant of the Study 1.2 Statement of the Problem 1.3 The Hypothesis of the Study 2 Literature Review 2.1 Strategic Entrepreneurship (SE) 2.2 Competitive Advantage 2.3 Strategic Entrepreneurship (SE) and Competitive Advantage 3 Methodology 3.1 Study Instrument 3.2 Validity of the Questionnaire 3.3 Reliability of the Questionnaire 4 Findings 5 Conclusion References Cyberspace and Criminal Protection of Privacy in the Jordanian Legislation Under the Corona Pandemic: A Comparative Study 1 Introduction 2 An Illustration of the Meaning and the Nature of the Concepts of Privacy and Personal Data 2.1 An Illustration of the Concept and Nature of Private Life and Its Legislative Protection 2.2 The Second Requirement: The Legislative and Judicial Treatment of the Principle of Privacy in the Light of Cyberspace 3 Legislative Treatments of Patients’ Data in Light of the Corona Pandemic 3.1 The General Criminal Law and Laws Related to Informatics as a Basis for Maintaining the Private Data of Patients 3.2 Medical Charters and Legislations of Corona Pandemic as Basis for Maintaining Patient Data 4 Conclusion 4.1 Results 4.2 Recommendations References The Impact of Procurement Agility and Procurement Sustainability on Organizational Performance in UAE’S Semi-government Entities: The Mediating Role of Procurement Centralization 1 Introduction 1.1 Research Purpose 1.2 Significance of the Study 1.3 Research Questions 2 Literature Review 2.1 Procurement Agility 2.2 Procurement Centralization 2.3 Organizational Performance 2.4 Procurement Sustainability 3 Identified Gap 4 Hypothesis Development 5 Theoretical Framework 6 Methodological Approach 6.1 Proposed Method of Data Collection 6.2 Sample Size 7 Data Analysis Technique 8 Discussion 9 Conclusion References Natural Language Processing Handwriting Letter Recognition on the Steering Wheel Switches 1 Introduction 2 Related work 3 Dataset for the Automotive Industry 4 Dataset Collection Process 4.1 Environment Setup 4.2 Dataset Acquisition Tool 4.3 Training an Initial Model 4.4 Dataset Acquisition Campaign 4.5 User-Centric Feedback Process 5 Machine Learning Algorithms Used 5.1 HOG + PCA + Interconnected Neural Network 5.2 Convolutional Neural Network 6 Cross validation 7 Results and Feedback 7.1 HOG + PCA + Interconnected Neural Network 7.2 Convolutional Neural Network 7.3 User-Centric Feedback 8 Applications 9 Conclusion and Future Work References AraFranco: An Arabic Word Embedding Model for Representing Franco-Arabic User-Generated Text 1 Introduction 2 Related Work 3 AraFranco Word Embedding Model 3.1 Dataset 3.2 Preprocessing 3.3 Transliteration 3.4 FastText Model Training 4 Experiments, Results, and Model Evaluation 5 Conclusion References FNet with Cross-Attention Encoder for Visual Question Answering 1 Introduction 2 Model Architecture 3 Dataset 4 Pre-training Tasks 5 Pre-training with FNet only Sub-layers 6 Fine-Tuning 7 Experimental Results 8 Conclusion References Extracting Semantic Relationship Between Fatiha Chapter (Sura) and the Holy Quran 1 Introduction 2 Related Work 3 Data Set 4 Methodology 5 Result 6 Discussion 7 Conclusion and Future Work References An Approach for Building a Framework for Applying Natural Language Queries on RDF Database 1 Introduction 2 Literature Review 3 Proposed Model 3.1 Questions Preprocessing Phase 3.2 Paragraphs Preprocessing Phase 3.3 Processing Phase 3.4 Matching Phase 4 Dataset 5 Experiments and Results 6 Conclusion and Future Work References Internet of Things and Fog Computing IoT Architectures: A Brief Survey on Layers’ Services 1 Introduction 2 Internet of Things 3 IoT Architectures 3.1 Architecture Based on 3 Layers 3.2 Architecture Based on 4 Layers 3.3 Architecture Based on 5 Layers 3.4 Architecture Based on 6 Layer 3.5 Architecture Based on 7 Layers 4 Comparison 5 Conclusion References Fog of Things Framework to Handle Data Streaming Heterogeneity on Internet of Things 1 Introduction 2 IoT Real-Time Data Streaming 3 Heterogeneity Challenges in IoT Data Streaming 4 Fog Computing 4.1 Why Fog Computing? 4.2 What Is Fog Computing? 4.3 Fog Computing Architecture 5 Complementary Aspects Between Fog Computing and Cloud Computing 6 Fog Computing Framework For IoT (Fog of Things) 6.1 FoT Framework Overview 6.2 Fot Framework Pros and Cons 6.3 FoT Framework Best Fit 6.4 FoT Framework Architecture 7 FoT Framework Case Study 7.1 Predictive Maintenance Case Description 7.2 Framework Version 1 Implementation Components 7.3 Framework Version 1 Implementation 7.4 FoT Framework Version 1 Results 8 Discussion 9 Conclusion and Future Work References Energy Efficiency Routing Algorithms in IoT: A Survey 1 Introduction 2 Literature Review 2.1 Flat Protocol 2.2 Location Based Routing 2.3 Hierarchical Routing Protocol 3 Bio-inspired Algorithms 3.1 Particle Swarm Optimization (PSO) 3.2 Ant Colony Optimization (ACO) 3.3 The Genetic Algorithm (GA) 3.4 Artificial Bee Colony Optimization (ABC) Algorithm 3.5 Fire Fly Algorithm (FFA) 4 Machine Learning (ML) Models 5 Conclusion 6 Future Work References Smart Systems and Data Science Impact of COVID-19 on Higher Education: Case Study of a Moroccan Engineering School 1 Introduction 2 Materials and Methods 2.1 Previous Work with Edmodo 2.2 Context and Learning Scenario for the Current Experience 2.3 Mixed-Method Approach for Data Collection 3 Results 4 Discussion 5 Conclusion and Recommendations References Using Ontology and Semantic Web Tools to Improve New Product Development Process. Towards State of Arts 1 Introduction 2 Manufacturing Systems Design Paradigms 3 Knowledge Representation and Ontology 3.1 Knowledge Based System KBS and Ontology. 3.2 Ontology Languages 3.3 Ontology Development Methods 4 Product Centered Ontology Developed in NPD Process 5 Development of PLM Software for Flexible Machining Cell 6 Conclusion and Future Work References Towards a Dynamic Model of Business IT Alignment Using Enterprise Architecture: A Comparative Study 1 Introduction 2 Related Work: Traditional EA Approaches and Dynamic Aspects 3 Approaches and Studies Around the Dynamic Aspect in EA 3.1 DYNSEA: Dynamic Service Oriented Enterprise Architecture: Dynamic Service Oriented Approach 3.2 EA Dynamic Alignment Model: Dynamic Pattern-Oriented Approach 3.3 DCV(Dynamic Capability View): Dynamic Capabilities Oriented Approach 3.4 Chaos Theory: Chaos Theory-Oriented Approach 3.5 Dynamic Metamodel Approach: Dynamic Metamodel Oriented Approach 3.6 DYA (Dynamic Enterprise Architecture): Agility-Centric Oriented Approach 4 Comparative of Approaches/Studies 5 Conclusion References Smart and Connected Systems to Manage Data in Smart City 1 Introduction 2 Smart City Applications 2.1 Smart City 2.2 Smart City‘s Applications 3 Data Management in Smart City 3.1 Data Acquisition 3.2 Data Processing 3.3 Data Dissemination 4 Privacy and Security in Data Management: Challenges and Solutions 4.1 Challenges and Threats 4.2 Attacks in Smart City 4.3 Security Solutions for Data Managing in Smart City 5 Discussion 6 Conclusion References Smart Logistics Systems During COVID-19 Pandemic: Context and Impact Evaluation in Morocco 1 Introduction 2 SL During Pandemics 2.1 Adaptive Planning Importance 2.2 Big Data Analysis and GIS 2.3 Sustainable Production 2.4 SL Assessment Model 3 Conclusion References An Intelligent Mechanism for Automated Storage and Retrieval Systems in Smart Warehouse Model 1 Introduction 2 System Design 2.1 Technical Requirements 2.2 Solution Approach 2.3 Improved Version Design and Implementation 3 Experimental Setup 4 Results and Discussion 5 Conclusion References Learner Profile Enrichment and Semantic Modeling of Learning Actors for MOOC Recommendation 1 Introduction 2 Theoretical Background of the Study 2.1 Related Works 2.2 Research Context and Methodology 3 MOOC Learner Profile Enrichment 3.1 MOOC Platform Dataset Pre-processing 3.2 MOOC Learner Data Extraction 3.3 Social Media Mining for Learner Data Extraction 3.4 Learner Profile Data Merging 4 Ontology-Based Modeling for MOOC Recommendation 4.1 Learning Actor Metaontology 4.2 LEARNER’s Features Adaptation for Semantic Modeling 4.3 MOOC’S Features Adaptation for Semantic Modeling 4.4 Results of Learning Actor Ontology Adaptation for Learner Semantic Modeling 5 Conclusion and Future Work References Exploration of Twitter Data Linked to Psychological Behaviors During COVID 19 Pandemic-Visualization Approach 1 Introduction 2 Related Work 2.1 Covid 19 and Mental Health Related Articles 2.2 Search Trend of Topics Related to Mental Health in the Period of Covid 19 3 Data Set and Experimental Setup 3.1 Data Collection and Preprocessing 3.2 Experimental Setup: Visualization and Feature Extraction 4 Conclusion References Microservices, a Step from the Low-Code to the No-Code 1 Introduction 2 Microservice Architecture 2.1 Original Form of MSA 2.2 Current Form of MSA 3 No-Code/Low-Code 4 Integration Approach 5 Case Study 6 Related Work 7 Conclusion and Future Work References Semi-automated Ontology Construction Method for Representing Problem-Solving Knowledge: Application on an Online Community of Breastfeeding Difficulties 1 Introduction 2 Related Work 3 Ontology Construction Model from Online Community Discussions: Our Contribution 3.1 Data Set Collection 3.2 Key Terms Extraction 3.3 Classes and Class Hierarchy Creation/definition 3.4 Object Property Definition 3.5 Relation Extraction 3.6 Axiom Generation 4 Results 4.1 Data Set Collection 4.2 Key Terms Extraction 4.3 Ontology Class Hierarchy 4.4 Class Property Definition 4.5 Relation Extraction 4.6 Axioms Generation 5 Ontology Model Evaluation and Discussion 6 Conclusion and Future Works References Towards a Humanoid Teaching Assistant-Robot-Primitives Knowledge Modeling 1 Introduction 2 Related Works 2.1 Intelligent Humanoid Robot 2.2 The Primitive Operation Sets that Make the Humanoid Robot 3 Methodology 3.1 Modeling of General Knowledge 3.2 Conceptual Model for Our Teaching Assistant-Robot 3.3 Complex Activities the Teaching Assistant-Robot Can Do in the Classroom 3.4 Writing Pipeline 3.5 Flowchart and Algorithm for Writing Preparation 4 Conclusion References Data Driven 3D Reconstruction from 2D Images: A Review 1 Introduction 2 3D Reconstruction Overview 3 3D Reconstruction Applications 4 Integration Between 3D Reconstruction and Virtual Reality 5 The Datasets and Used AI Techniques 6 Conclusion References A New Framework for Multi-objective Route Planning in Smart Cities 1 Introduction 2 Related Work 3 The Proposed Multi-objective Framework 3.1 The Routing Algorithm 3.2 The Multi-objective Optimization Algorithm 3.3 Framework Integration 4 Experimental Results 4.1 Datasets 4.2 Evaluation Metrics 4.3 Results 5 Conclusion References Author Index