浮夸 发表于 2025-3-26 23:03:49
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namely: i) Autonomous Systems; ii) Pattern Recognition and Vision Systems; iii) E-Enabled Systems; iv) Mobile Computing and Intelligent Networking; v) Internet and Cloud Computing; vi) Intelligent Systems, and 978-3-319-69095-7978-3-319-69096-4Series ISSN 2194-5357 Series E-ISSN 2194-5365填料 发表于 2025-3-27 06:11:38
Rüdiger H. Päslerl models of the physical device. According to the specific needs of the operation and maintenance of the physical device, the component-level monitoring data (operating conditions, thyristors, water level, temperature and humidity, etc.) of the physical device are overlaid onto the corresponding equipment model.考古学 发表于 2025-3-27 13:15:58
Rüdiger H. Päslerally calls for probabilistic approaches. In this chapter, I will describe techniques and issues involved in building probabilistic student models based on Bayesian networks and their extensions. I will describe pros and cons of this approach, and discuss examples from existing Intelligent Tutoring Systems that rely on Bayesian student modelsHAVOC 发表于 2025-3-27 14:34:07
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Rüdiger H. Päslernd compare with the modified calculated value of rolling force, which got from the self-learning model of rolling force. The results show that the thickness can be predicted more rapidly and exactly, which can meet the actual demand of production, when this model and the rolling force learning model are integrated.认识 发表于 2025-3-28 01:33:39
Rüdiger H. Päslerult change rule and reliability level of new energy vehicles, and provides basic support for improving the reliability of new energy vehicles, reducing maintenance costs, expanding consumers’ purchase choices, and improving the sales volume of new energy vehicles.外星人 发表于 2025-3-28 03:17:28
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