Gesture
发表于 2025-3-26 22:50:19
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消音器
发表于 2025-3-27 01:45:59
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绿州
发表于 2025-3-27 05:28:50
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滔滔不绝的人
发表于 2025-3-27 13:18:44
2367-3370 searchers, and engineers who want to employ AI applications to address real-world issues. The authors hope that businesses and technology creators will also find it appealing to utilise in industry... .978-3-031-30395-1978-3-031-30396-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
resistant
发表于 2025-3-27 16:13:29
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CERE
发表于 2025-3-27 19:30:13
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CLASH
发表于 2025-3-27 22:11:45
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弯曲道理
发表于 2025-3-28 02:49:47
,Bi-RNN and Bi-LSTM Based Text Classification for Amazon Reviews,RNN), and bidirectional long-short-term memory (Bi-LSTM). The accuracy obtained with Bi-RNN and Bi-LSTM is 89.60% and 92.80% respectively. The result shows that Bi-LSTM performs best on the Amazon review dataset.
战役
发表于 2025-3-28 07:33:07
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ligature
发表于 2025-3-28 12:54:45
Cascaded 3D V-Net for Fully Automatic Segmentation and Classification of Brain Tumor Using Multi-ch3D V-Net framework’s performance is assessed using an existing framework through considering accuracy, sensitivity, precision and IoU metrics for manifesting the proposed V-Net model’s superiority in BT segmentation and classification performance. And the presented 3D V-Net framework supersedes the