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Titlebook: Quality Improvement and Patient Safety in Orthopaedic Surgery; Julie Balch Samora,Kevin G. Shea Textbook 2022 The Editor(s) (if applicable

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樓主: 雜技演員
21#
發(fā)表于 2025-3-25 06:52:30 | 只看該作者
precise identification of seagrass bed images captured by UAVs, a segmentation network for the Seagrass Bed Imagery Segmentation Network (SBISNet) is developed. This network incorporates an attention mechanism to capture context modules, focusing on high-resolution and low-resolution feature maps t
22#
發(fā)表于 2025-3-25 09:30:03 | 只看該作者
23#
發(fā)表于 2025-3-25 11:38:44 | 只看該作者
24#
發(fā)表于 2025-3-25 16:31:48 | 只看該作者
Andrew Grose,Dwight Burney learning adaptability and learning effectiveness. Through cluster analysis, the survey subjects were classified into five categories: skilled technology, active participation, passive adaptation, adaptation difficulties, and resistance to change. Combined with the research results, the following im
25#
發(fā)表于 2025-3-25 20:33:03 | 只看該作者
Meredith G. Moore,Kevin J. Bozic security of AIoT devices and improve the efficiency of protection. Specifically, the model aims to prevent presentation attacks and flow attacks against the iris recognition system, which may compromise the security of biometric information. The proposed method is expected to increase AIoT devices
26#
發(fā)表于 2025-3-26 01:13:56 | 只看該作者
Karl C. Roberts,Mathew Pateon temperatures into the optimization objective. Finally, we complete agent training using a gradient reinforcement learning algorithm of multi-agent deep deterministic policy. The IEEE 33-node system demonstrates the advantages of the proposed strategy in improving active dispatch and voltage balan
27#
發(fā)表于 2025-3-26 04:41:52 | 只看該作者
K. Keely Boyle,Jessica L. Block,Michael S. Pinzursentence. Furthermore, this paper suggests a dynamic document comparison approach to enhance the diversity of the generated summaries by creating positive examples from intra-document sentences and contrasting them with inter-document sentence counterexamples. This is achieved by leveraging a cosine
28#
發(fā)表于 2025-3-26 12:20:52 | 只看該作者
29#
發(fā)表于 2025-3-26 13:21:52 | 只看該作者
Justin P. Moo Young,Jed I. Maslow,Donald H. Leeon temperatures into the optimization objective. Finally, we complete agent training using a gradient reinforcement learning algorithm of multi-agent deep deterministic policy. The IEEE 33-node system demonstrates the advantages of the proposed strategy in improving active dispatch and voltage balan
30#
發(fā)表于 2025-3-26 19:42:54 | 只看該作者
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