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Record Nr. |
UNINA9910919817103321 |
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Titolo |
Advancement in Computational Methods for Life Systems Modelling and Simulation : 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 / / edited by Minrui Fei, Hongjie Wu, Qun Niu, Xin Li, Jingjing Zhang |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (487 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 2216 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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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 |
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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. |
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