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Titlebook: Artificial Intelligence and Robotics; Huimin Lu Book 2021 Springer Nature Switzerland AG 2021 Computational Intelligence.Intelligent Syste

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樓主: BRISK
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發(fā)表于 2025-3-30 11:08:22 | 只看該作者
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發(fā)表于 2025-3-30 14:34:32 | 只看該作者
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發(fā)表于 2025-3-30 16:37:29 | 只看該作者
Book 2021o brought new challenges for the artificial intelligence community. Sharing recent advances in the field, the book features papers by young researchers presented at the 4th International Symposium on Artificial Intelligence and Robotics 2019 (ISAIR2019), held in Daegu, Korea, on August 20–24, 2019...?.
54#
發(fā)表于 2025-3-30 23:31:49 | 只看該作者
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發(fā)表于 2025-3-31 01:40:46 | 只看該作者
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發(fā)表于 2025-3-31 06:25:41 | 只看該作者
https://doi.org/10.1007/978-3-658-09387-7erence values in the perspective map. In general, it makes the final density map more accurate. The dataset we used is a set of public dataset, which are WorldExpo’10 dataset, Shanghaitech dataset, the UCF_CC_50 dataset and the UCSD dataset. The experiments have proved our method achieves the state-of-the-art result over other algorithms.
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發(fā)表于 2025-3-31 10:44:34 | 只看該作者
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發(fā)表于 2025-3-31 14:00:18 | 只看該作者
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發(fā)表于 2025-3-31 18:49:32 | 只看該作者
CBCNet: A Deep Learning Approach to Urban Images Classification in Urban Computing,ban images containing eight categories, contrast experiments prove that the dataset is rational and feasibility. Experiment results obtained on two benchmark datasets demonstrate that classification accuracy and computation of CBCNet outperform those by the previous state-of-the-art items of AlexNet, VGGNet16 and ResNet50.
60#
發(fā)表于 2025-4-1 00:12:35 | 只看該作者
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