Xin Wang (ed.); Maria Luisa Sapino (ed.); Wook-Shin Han (ed.); Amr El Abbadi (ed.); Gill Dobbie (ed.); Zhiyong Feng (ed.) Springer (2023) Pehmeäkantinen kirja
Xin Wang (ed.); Maria Luisa Sapino (ed.); Wook-Shin Han (ed.); Amr El Abbadi (ed.); Gill Dobbie (ed.); Zhiyong Feng (ed.) Springer (2023) Pehmeäkantinen kirja
Xin Wang (ed.); Maria Luisa Sapino (ed.); Wook-Shin Han (ed.); Amr El Abbadi (ed.); Gill Dobbie (ed.); Zhiyong Feng (ed.) Springer (2023) Pehmeäkantinen kirja
Xin Wang (ed.); Maria Luisa Sapino (ed.); Wook-Shin Han (ed.); Amr El Abbadi (ed.); Gill Dobbie (ed.); Zhiyong Feng (ed.) Springer (2023) Pehmeäkantinen kirja
Michael M. Resch (ed.); Katharina Benkert (ed.); Xin Wang (ed.); Martin Galle (ed.); Wolfgang Bez (ed.); Hiroaki Kobayashi Springer (2010) Kovakantinen kirja
Michael M. Resch (ed.); Katharina Benkert (ed.); Xin Wang (ed.); Martin Galle (ed.); Wolfgang Bez (ed.); Hiroaki Kobayashi Springer (2014) Pehmeäkantinen kirja
This book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).