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Item type | Location | Call Number | Status | Notes | Date Due |
---|---|---|---|---|---|
Book | AUM Main Library | 006.3 A791 (Browse Shelf) | Available | inv 202301028 |
Includes bibliographical references and index
Comprehensive and Self-Contained Introduction to Deep Reinforcement Learning / P Anbalagan, S Saravanan, R Saminathan -- Impact of AI in 5G Wireless Technologies and Communication Systems / A Sivasundari, K Ananthajothi -- Artificial Intelligence Revolution in Logistics and Supply Chain Management / PJ Sathish Kumar, Ratna Kamala Petla, K Elangovan, PG Kuppusamy -- An Empirical Study of Crop Yield Prediction Using Reinforcement Learning / M P Vaishnnave, R Manivannan -- Cost Optimization for Inventory Management in Blockchain and Cloud / C Govindasamy, A Antonidoss, A Pandiaraj -- Review of Deep Learning Architectures Used for Identification and Classification of Plant Leaf Diseases / G Gangadevi, C Jayakumar -- Generating Art and Music Using Deep Neural Networks / A Pandiaraj, S Lakshmana Prakash, R Gopal, P Rajesh Kanna -- Deep Learning Era for Future 6G Wireless Communications-Theory, Applications, and Challenges / SKB Sangeetha, R Dhaya -- Robust Cooperative Spectrum Sensing Techniques for a Practical Framework Employing Cognitive Radios in 5G Networks / J Banumathi, SKB Sangeetha, R Dhaya -- Natural Language Processing / S Meera, S Geerthik -- Class Level Multi-Feature Semantic Similarity-Based Efficient Multimedia Big Data Retrieval / D Sujatha, M Subramaniam, A Kathirvel -- Supervised Learning Approaches for Underwater Scalar Sensory Data Modeling With Diurnal Changes / JV Anand, TR Ganesh Babu, R Praveena, K Vidhya -- Multi-Layer UAV Ad Hoc Network Architecture, Protocol and Simulation / Kamlesh Lakhwani, Tejpreet Singh, Orchu Aruna -- Artificial Intelligence in Logistics and Supply Chain / Jeyaraju Jayaprakash -- Hereditary Factor-Based Multi-Featured Algorithm for Early DiabetesDetection Using Machine Learning / S Deepajothi, R Juliana, SK Aruna, R Thiagarajan -- Adaptive and Intelligent Opportunistic Routing Using Enhanced Feedback Mechanism / V Sharmila, K Mandal, Shankar Shalani, P Ezhumalai -- Enabling Artificial Intelligence and Cyber Security in Smart Manufacturing / R Satheesh Kumar, G Keerthana, L Murali, S Chidambaranathan, CD Premkumar, R Mahaveerakannan -- Deep Learning in 5G Networks / G Kavitha, P Rupa Ezhil Arasi, G Kalaimani -- EIDR Umpiring Security Models for Wireless Sensor Networks / A Kathirvel, S Navaneethan, M Subramaniam -- Artificial Intelligence in Wireless Communication / Prashant Hemrajani, Vijaypal Singh Dhaka, Manoj Kumar Bohra, Amisha Kirti Gupta -- Index -- Also of Interest
Available to OhioLINK libraries
Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments
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