Adrenaline 发表于 2025-3-23 10:44:57
https://doi.org/10.1007/978-3-662-53336-9Fertigung; Montage; Produktionssysteme; Logistik; Maschinenbauatopic-rhinitis 发表于 2025-3-23 14:59:19
Springer-Verlag GmbH Deutschland, ein Teil von Springer Nature 2020蚊帐 发表于 2025-3-23 19:55:52
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https://doi.org/10.1007/978-3-662-07583-8ion models, is a widespread but challenging problem in the manufacturing industry. A reinforcement learning-based estimation of distribution algorithm (RLEDA) is proposed to solve the energy-efficient DHFJSP while minimizing the makespan and total energy consumption (TEC). A hybrid heuristic initialFRET 发表于 2025-3-24 06:41:02
New Perspectives on Mind-Wandering several innovative information technologies and products have witnessed the changes of learning behaviors in recent years. Among them, how to use e-books to improve the learning performance of audience has become a promising research topic because it can be used to automatically record the reading事先无准备 发表于 2025-3-24 13:47:06
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Susil Baral,Ali Rafiei Miandashti,Hugh H. Richardsonntext of growing Chinese investment. The main challenge is to show how the internal and external link together. To meet this challenge, the book draws on three research traditions: the ‘state-in-society’ approach, the relational conception of state power and the ‘second image reversed’ perspective.parallelism 发表于 2025-3-24 21:33:32
Ammar S. Salman,Wenliang Dunsupervised learning without specifying traditionally used input parameters. In topic modeling, this can be applied to discovering topics without specifying the number beforehand. Existing methods, such as those applied to topic modeling, usually take on a complex sampling calculation for inference.Lumbar-Stenosis 发表于 2025-3-25 01:15:25
Leonardo Fialho,James BrowneMRI, optical, nuclear medicine).Covers all relevant techniquIn view of the numerous failures of clinical trials aimed at improving stroke therapy, the role and potential benefit of experimentally modeling focal cerebral ischemia in rodents has been debated. When methods of systematic review and meta