induct
发表于 2025-3-25 06:52:30
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
评论者
发表于 2025-3-25 09:30:03
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Facet-Joints
发表于 2025-3-25 11:38:44
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Negligible
发表于 2025-3-25 16:31:48
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
MANIA
发表于 2025-3-25 20:33:03
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
–DOX
发表于 2025-3-26 01:13:56
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
Tortuous
发表于 2025-3-26 04:41:52
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
finale
发表于 2025-3-26 12:20:52
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骚动
发表于 2025-3-26 13:21:52
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
Choreography
发表于 2025-3-26 19:42:54
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