8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Suzhou, China, September 13–15, 2024, Proceedings, Part I Fei, Minrui. editor. edt http://id.loc.gov/vocabulary/relators/edt Wu, Hongjie. editor. edt http://id.loc.gov/vocabulary/relators/edt Niu, Qun. editor. edt http://id.loc.gov/vocabulary/relators/edt Li, Xin. editor. edt http://id.loc.gov/vocabulary/relators/edt Zhang, Jingjing. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XX, 472 p. 210 illus., 179 illus. in color. online resource. The five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China. The 35 papers presented were carefully reviewed and selected from over 496 submissions. The LSMS and ICSEE international conference series aim to bring together international researchers and practitioners in the fields of advanced methods for life system modeling and simulation, as well as advanced intelligent computing theory, methodologies, and engineering applications in achieving net zero across all sectors to tackle the global climate change challenge. edited by Minrui Fei, Hongjie Wu, Qun Niu, Xin Li, Jingjing Zhang. Computational intelligence Computer simulation Computer networks  Machine learning Computers, Special purpose Computer science Mathematics Computational Intelligence Computer Modelling Computer Communication Networks Machine Learning Special Purpose and Application-Based Systems Mathematics of Computing Q342 9789819601882 https://doi.org/10.1007/978-981-96-0188-2 https://doi.org/10.1007/978-981-96-0188-2 241227 20251030114645.0 978-981-96-0188-2