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ویرایش: نویسندگان: Mohamed Tabaa (editor), Hassan Badir (editor), Ladjel Bellatreche (editor), Azedine Boulmakoul (editor), Ahmed Lbath (editor), Fabrice Monteiro (editor) سری: ISBN (شابک) : 3031473655, 9783031473654 ناشر: Springer سال نشر: 2023 تعداد صفحات: 216 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 21 مگابایت
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در صورت تبدیل فایل کتاب New Technologies, Artificial Intelligence and Smart Data (Communications in Computer and Information Science) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب فناوری های نوین، هوش مصنوعی و داده های هوشمند (ارتباطات در علوم کامپیوتر و اطلاعات) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface Organization Contents Artificial Intelligence Machine Learning for the Analysis of Human Microbiome in Inflammatory Bowel Diseases: Literature Review 1 Introduction 2 The Relation Between Inflammatory Bowel Diseases and the Microbiome 3 Existing Approaches for Microbiome Analysis 4 Machine Learning Techniques for Microbiome Analysis 5 Applications of Machine Learning for the Analysis of the Microbiome in Inflammatory Bowel Diseases 6 Limitations and Challenges of Using Machine Learning for Microbiome Analysis in IBD 7 Conclusion References Systematic Mapping Study on Applications of Deep Learning in Stock Market Prediction 1 Introduction 2 Related Works 3 Research Method 4 Systematic Mapping Results 5 Synthesis and Future Works 6 Conclusion References Exploring the Knowledge Distillation 1 Introduction 2 Related Work 3 Methods and Background 3.1 Knowledge Distillation 3.2 Teacher Assistant Knowledge Distillation 3.3 Self-distillation 4 Experimental Results 4.1 Datasets 4.2 Experiment Settings 4.3 Evaluation Metric 4.4 Performance Evaluation 5 Conclusion References Intelligent Traffic Congestion and Collision Avoidance Using Multi-agent System Based on Reinforcement Learning 1 Introduction 2 Literature Review 2.1 Multi-agent System 2.2 Intelligent Traffic Congestion 2.3 Collision Avoidance 2.4 Reinforcement Learning 3 Proposed System 3.1 System Architecture 3.2 Methodology 3.3 Design Objectives 3.4 Mathematical Model 4 Findings 5 Conclusion 6 Future Work References BERT for Arabic NLP Applications: Pretraining and Finetuning MSA and Arabic Dialects 1 Introduction 2 Word Embeddings and BERT 3 The BERT Model: Background 3.1 Bert Architecture 3.2 BERT Pre-training and Fine-Tuning 4 BERT for Arabic NLP Applications: Pre-training and Fine-Tuning 4.1 Training Datasets 4.2 Pre-training BERT Models 4.3 Fine-Tuning for Arabic NLP Applications 4.4 The Computational Cost 5 Results and Discussion 6 Conclusion References VacDist MAS for Covid-19 Vaccination Distribution: Palestine as a Case Study 1 Introduction 2 Related Work 3 Methodology 3.1 The Proposed MAS 3.2 System Environments and Their Agents 3.3 Data Source 3.4 VacDist Framework 4 Results 4.1 Decision-Making Strategy Results 4.2 Machine Learning Distribution Strategy Based Cities Results 4.3 Distribution Strategy Based Citizen Results 5 Discussion 6 Conclusion References Smart E-Waste Management System Utilizing IoT and DL Approaches 1 Introduction 2 Related Work 3 Object Detection Model 3.1 Cloud, Fog, or Local Computing 3.2 Choosing a Deep-Learning Framework 3.3 Choosing an Architecture for Object Detection 3.4 Dataset Collection 3.5 Training Phase 4 The Proposed System 4.1 System Architecture 4.2 System Components 4.3 System Workflow 4.4 Prototype Implementation (Hardware) 4.5 System Cost 5 Conclusion and Future Work References Data Technologies Towards a Platform for Higher Education in Virtual Reality of Engineering Sciences 1 Introduction 2 Digital Transformation in Higher Education: State of Art 2.1 Virtual Reality 2.2 Augmented Reality 2.3 Metaverse 2.4 Virtual 3D Technologies in STEM Higher Education 2.5 Students’ Perspectives on Using AR and VR 2.6 Teachers’ Perspectives on Using AR and VR 2.7 Pedagogy of Learning in STEM Higher Education 2.8 Supporting Different Resource Types for Learning 2.9 WebXR 3 Discussion 3.1 The Implementation 3.2 How It Works 4 Conclusion References Robust Intelligent Control for Two Links Robot Based ACO Technique 1 Introduction 2 Optimal Neural Network Sliding Mode Control Design 2.1 Controller Design 2.2 Neural Network Representation: 2.3 ACO Training Algorithm 3 Simulation Results 4 Conclusion References Multimodal Learning for Road Safety Using Vision Transformer ViT 1 Introduction 2 Litterature Review 3 Problem Definition 3.1 Vision Transformer (ViT) 3.2 Model Architecture 4 Model Application: The Identification of High-Risk Areas for Smart Camera Locations 4.1 Dataset 4.2 Experimental Setup 4.3 Results 5 Conclusion References Intelligent Multi-agent Distributed System for Improving and Secure Travel Procedures: Al-Karama-King Hussein Bridge Study Case 1 Introduction 2 System Architecture 3 Logical Data Structure 4 IRMADS as Distributed System 4.1 Scalability 4.2 Openness 4.3 Resource Sharing 5 IRMADS Database Based on Blockchain Data Architecture 6 State Diagram Distribution for IRMADS 7 Agent-Based and Discrete Event Simulation for IRMADS 7.1 Agent and Traveler Data Structure 7.2 Simulation Work Flow 7.3 Simulation Results and Analysis 8 Conclusion References A New Approach for the Analysis of Resistance to Change in the Digital Transformation Context 1 Introduction 2 Related Work 3 Background 4 Proposed Approach 5 Illustrative Example 6 Results and Discussion 7 Conclusion References Augmented Data Warehouses for Value Capture 1 Introduction 2 Related Work 3 Motivating Example 4 DW Augmentation for Value Capture 4.1 GO Augmented-DW 4.2 On-Demand DW Augmentation 4.3 Value Metrics for DW Augmentation 5 Experiments 5.1 Experimental Setup 5.2 Obtained Results 6 Conclusion References A Parallel Processing Architecture for Querying Distributed and Heterogeneous Data Sources 1 Introduction 2 Related Work 3 A Parallel Processing Architecture for Aggregated Search in the Web of Data 4 Querying Heterogeneous Sources with Our Search Engine 5 Demonstration and Results 5.1 Data Sources and the Query 5.2 Execution Results 6 Conclusion References Comprehensive Data Life Cycle Security in Cloud Computing: Current Mastery and Major Challenges 1 Introduction 2 Data Life Cycle 3 Literature Review 3.1 Secure Data Creation 3.2 Ensuring Secure Data Exchange 3.3 Secure Data Deletion 4 Research Gap in Data Life Cycle 5 Conclusion References Author Index