assent
发表于 2025-3-30 11:48:43
Grundlagen der Maschenwarentechnologienufacturing completion time. FJSPLS couples three important sub-problems: operation sequencing, machine selection, and lot splitting. Deep reinforcement learning(DRL) methods have not been applied to this research area. This paper presents an innovative method using DRL with graph neural network (GN
SKIFF
发表于 2025-3-30 12:53:44
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maverick
发表于 2025-3-30 17:48:19
https://doi.org/10.1007/978-3-642-75539-2tional fault diagnosis methods face challenges such as reliance on manual experience, difficulties in standardisation, and deficiencies in real-time performance and accuracy. In recent years, fault diagnosis methods that combine vibration analysis and artificial intelligence technology have gained i
correspondent
发表于 2025-3-30 22:57:15
https://doi.org/10.1007/978-3-642-75539-2data injection moves along the reference trajectory. The neural network skill is availed to approach the nonlinear state-dependent actuator attack, and then a class of linear filter operators is used to collect the reckon deviation informations of the anonymous attack parameters, and an adaptive upd
清真寺
发表于 2025-3-31 00:55:09
https://doi.org/10.1007/978-3-322-82947-4nd training these agents directly on real-world offshore platforms is both complex and costly. Utilizing simulation environments can streamline this process by allowing agents to learn and interact within a safe and cost-effective virtual space. However, current household simulation environments do
圣歌
发表于 2025-3-31 06:19:59
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ordain
发表于 2025-3-31 12:14:42
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凹槽
发表于 2025-3-31 14:48:07
Grundlagen der Materialwirtschaftata centers. In this paper, our primary focus is on the challenge of minimizing scheduling lengths for parallel applications within energy-constrained heterogeneous computing environments. Here, the scheduling length denotes the actual time required for a task to reach completion. In this study, we
Decibel
发表于 2025-3-31 18:19:57
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收藏品
发表于 2025-4-1 00:28:52
https://doi.org/10.1007/978-3-642-86894-8rallel applications. While this kind of system can greatly increase the computation capability of parallel applications, it is usually constrained by energy cost. Therefore, to achieve a tradeoff between computing ability and energy cost, the optimization of the schedule length under the constraint