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Titlebook: VLSI Placement and Routing: The PI Project; Alan T. Sherman Book 1989 Springer-Verlag New York Inc. 1989 VLSI.circuit.computer.constraint.

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樓主: 淺吟低唱
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發(fā)表于 2025-3-23 13:15:15 | 只看該作者
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發(fā)表于 2025-3-24 03:06:55 | 只看該作者
Alan T. Shermanincrease, making the optimization of routing problems an NP-hard problem. When using traditional routing algorithms, accuracy and efficiency cannot be balanced. Recently, Deep Q-Network (DQN) has shown great potential for solving dynamic network problems. However, existing DQN-based routing solution
16#
發(fā)表于 2025-3-24 09:08:48 | 只看該作者
Alan T. Shermane impact of the epidemic has brought new challenges to online education, and the effect of online teaching has sparked extensive research. Why online learning has not received satisfying learning effect? And how to improve the quality of online education have become the focus of research. To address
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發(fā)表于 2025-3-25 01:44:44 | 只看該作者
Alan T. Shermanlimited visibility of the equipment’s operational perimeter, difficulty obtaining datasets, and high accuracy requirement. This research shows how machine learning methods such as convolutional neural networks (CNN) and transfer learning can tackle these challenges. Transfer learning works well when
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