Advancement in Computational Methods for Life Systems Modelling and Simulation (Paperback)

Qun Niu

ISBN 10: 9819601878 / ISBN 13: 9789819601875

Verlag: Springer Nature Switzerland AG, Cham, 2024

Beschreibung

Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verkäufers 9789819601875

Bibliografische Details

• Titel: Advancement in Computational Methods for Life Systems Modelling and Simulation (Paperback)
• Verlag: Springer Nature Switzerland AG, Cham
• Veröffentlichungsdatum: 2024
• Sprache: Englisch
• ISBN-10: 9819601878
• ISBN-13: 9789819601875
• Bindung: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

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.