Artificial Intelligent Techniques for Wireless Communication and Networking. Группа авторов
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Spectrum Agile Radios: Utilization and Sensing Architectures 9.7 Some Fundamental Limits on Cognitive Radio 9.8 Cooperative Strategies and Capacity Theorems for Relay Networks 9.9 Research Challenges in Cooperative Communication 9.10 Conclusion References
14 10 Natural Language Processing 10.1 Introduction 10.2 Conclusions References
15 11 Class Level Multi-Feature Semantic Similarity-Based Efficient Multimedia Big Data Retrieval 11.1 Introduction 11.2 Literature Review 11.3 Class Level Semantic Similarity-Based Retrieval 11.4 Results and Discussion Conclusion References
16 12 Supervised Learning Approaches for Underwater Scalar Sensory Data Modeling With Diurnal Changes 12.1 Introduction 12.2 Literature Survey 12.3 Proposed Work 12.4 Results 12.5 Conclusion and Future Work References
17 13 Multi-Layer UAV Ad Hoc Network Architecture, Protocol and Simulation 13.1 Introduction 13.2 Background 13.3 Issues and Gap Identified 13.4 Main Focus of the Chapter 13.5 Mobility 13.6 Routing Protocol 13.7 High Altitude Platforms (HAPs) 13.8 Connectivity Graph Metrics 13.9 Aerial Vehicle Network Simulator (AVENs) 13.10 Conclusion References
18 14 Artificial Intelligence in Logistics and Supply Chain 14.1 Introduction to Logistics and Supply Chain 14.2 Recent Research Avenues in Supply Chain 14.3 Importance and Impact of AI 14.4 Research Gap of AI-Based Supply Chain References
19 15 Hereditary Factor-Based Multi-Featured Algorithm for Early Diabetes Detection Using Machine Learning 15.1 Introduction 15.2 Literature Review 15.3 Objectives of the Proposed System 15.4 Proposed System 15.5 HIVE and R as Evaluation Tools 15.6 Decision Trees 15.7 Results and Discussions 15.8 Conclusion References
20 16 Adaptive and Intelligent Opportunistic Routing Using Enhanced Feedback Mechanism 16.1 Introduction 16.2 Related Study 16.3 System Model 16.4 Experiments and Results 16.5 Conclusion References
21 17 Enabling Artificial Intelligence and Cyber Security in Smart Manufacturing 17.1 Introduction 17.2 New Development of Artificial Intelligence 17.3 Artificial Intelligence Facilitates the Development of Intelligent Manufacturing 17.4 Current Status and Problems of Green Manufacturing 17.5 Artificial Intelligence for Green Manufacturing 17.6 Detailed Description of Common Encryption Algorithms 17.7 Current and Future Works 17.8 Conclusion References
22 18 Deep Learning in 5G Networks 18.1 5G Networks 18.2 Artificial Intelligence and 5G Networks