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Titlebook: Hot Work Tool Steel; A Steel Portrait Joachim Schlegel,Till Schneiders Book 2024 The Editor(s) (if applicable) and The Author(s), under exc

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樓主: HBA1C
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發(fā)表于 2025-3-23 09:43:01 | 只看該作者
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發(fā)表于 2025-3-23 16:33:22 | 只看該作者
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發(fā)表于 2025-3-23 19:52:21 | 只看該作者
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發(fā)表于 2025-3-23 22:17:08 | 只看該作者
Joachim Schlegel,Till Schneidersfall events. During the dry season, the uncleaned system (UN) experiences reduced efficiency, while the SWP system achieves the highest at 91.79%. Subsequent winter rain events lead to the UN system’s recovery, though it remains the least efficient. In contrast, the IGP system peaks in April at 85.4
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發(fā)表于 2025-3-24 02:53:28 | 只看該作者
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發(fā)表于 2025-3-24 09:07:28 | 只看該作者
Joachim Schlegel,Till Schneiderstudy provides a comprehensive examination of recent advancements in semantic segmentation based on deep learning, with a specific focus on Mask R-CNN (Mask Region Convolutional Neural Network) and YOLO (You Only Look Once) v5, v7, and v8 variants. The emphasis is placed on their relevance in forest
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發(fā)表于 2025-3-24 11:19:00 | 只看該作者
Joachim Schlegel,Till Schneiderstudy provides a comprehensive examination of recent advancements in semantic segmentation based on deep learning, with a specific focus on Mask R-CNN (Mask Region Convolutional Neural Network) and YOLO (You Only Look Once) v5, v7, and v8 variants. The emphasis is placed on their relevance in forest
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發(fā)表于 2025-3-24 18:34:53 | 只看該作者
Joachim Schlegel,Till Schneiderss of determination. The evaluation is complemented by visual analyses, including scatter plots, showcasing the alignment between predicted and experimental LogS values. Notably, our study unravels the model‘s robustness across diverse datasets while shedding light on dataset-specific influences. The
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發(fā)表于 2025-3-24 22:45:13 | 只看該作者
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發(fā)表于 2025-3-25 02:10:38 | 只看該作者
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