This book provides a comprehensive treatment of the performance evaluation of UAV communication systems, using stochastic geometry to explore the impact of the random positions of UAVs on transmission performance.
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29-October 4, 2024.
This book leads the reader from the well-established wave description of polaritons to their particle description to quantify the polariton contribution to the heat transport along polar and metallic nanofilms, nanowires, and cavities.
This book stands at the intersection of computer vision, artificial intelligence, and human kinematics, offering a comprehensive exploration of the principles, methodologies, and applications of human pose analysis in video data.
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, which took place in Taipei, Taiwan, during May 7-10, 2024.
This book features original papers from 27th International Symposium on Frontiers of Research in Speech and Music (FRSM 2023), jointly organized by Sardar Vallabhbhai National Institute of Technology, Surat, India, and Sir C.
This book constitutes the refereed post-proceedings of the 11th International Conference on Industrial Engineering and Applications, ICIEA 2024, held in Nice, France, during January 10-12, 2024.
This book constitutes the refereed post-conference proceedings the 12th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2023 which was held in Sao Paulo, Brazil, in November 27-29, 2023.
This book constitutes the refereed post-conference proceedings the 12th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2023 which was held in Sao Paulo, Brazil, in November 27-29, 2023.
This 2-volume set constitutes the proceedings of the 6th EAI International Conference on 6GN for Future Wireless Networks, 6GN 2023, held in Shanghai, China, in October 7-8, 2023.
This 2-volume set constitutes the proceedings of the 6th EAI International Conference on 6GN for Future Wireless Networks, 6GN 2023, held in Shanghai, China, in October 7-8, 2023.
This book deals with formal and practical approaches for early fast modeling and verification of complex digital processor hardware and software using SystemC-based virtual prototypes.
This book deals with formal and practical approaches for early fast modeling and verification of complex digital processor hardware and software using SystemC-based virtual prototypes.
This book is a compilation of scientific articles written by recognized researchers participating in the Fourth Conference on the Study of Complex Systems and their Applications (EDIESCA 2023), held in Monterrey, Mexico.
This book is a compilation of scientific articles written by recognized researchers participating in the Fourth Conference on the Study of Complex Systems and their Applications (EDIESCA 2023), held in Monterrey, Mexico.
This book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications.
This book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications.
This book highlights the photogalvanic effects at low dimensions, surfaces, and interfaces, more specifically 2D materials, such as graphene and monolayer transition metal dichalcogenides.
This book presents various design theories and methodologies for silicon-based high-sensitivity broadband receivers, including millimeter-wave radiometer chips and photoelectric receivers, which are core elements in imaging systems, data centers, and telecommunication infrastructures.
This book presents various design theories and methodologies for silicon-based high-sensitivity broadband receivers, including millimeter-wave radiometer chips and photoelectric receivers, which are core elements in imaging systems, data centers, and telecommunication infrastructures.
This book highlights the photogalvanic effects at low dimensions, surfaces, and interfaces, more specifically 2D materials, such as graphene and monolayer transition metal dichalcogenides.
This book constitutes the refereed post-conference proceedings the 12th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2023 which was held in Sao Paulo, Brazil, in November 27-29, 2023.
This book constitutes the refereed post-conference proceedings the 12th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2023 which was held in Sao Paulo, Brazil, in November 27-29, 2023.
This 2-volume set constitutes the proceedings of the 6th EAI International Conference on 6GN for Future Wireless Networks, 6GN 2023, held in Shanghai, China, in October 7-8, 2023.
This 2-volume set constitutes the proceedings of the 6th EAI International Conference on 6GN for Future Wireless Networks, 6GN 2023, held in Shanghai, China, in October 7-8, 2023.
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas.
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with breadth and depth: integral reinforcement learning (RL) achieves model-free control without system estimation compared with system identification methods and their inevitable estimation errors; novel inverse RL methods fill a gap that will help them to attract readers interested in finding data-driven model-free solutions for inverse optimization and optimal control, imitation learning and autonomous driving among other areas.