讽刺
发表于 2025-3-25 07:22:36
Edwin R. Dubose Jr.,Earl E. Shelping between the pending paper content and the experts’ research interests, and then recommend experts based on the similarity. Experimental results show that the proposed diversified knowledge model can find the appropriate paper reviewers effectively, which can reduce the workload of the editors greatly.
现存
发表于 2025-3-25 08:40:06
Peter J. Rich,Matthew B. Langtoncross space real-time interaction with remote operation. This technology can provide a simple optimal solution for China’s medical conjoined and grading treatment system with a high efficient and low cost [.].
acetylcholine
发表于 2025-3-25 14:44:26
Steve Bennett,Trevor Barker,Mariana Lilleynd concave features than CX values with solvent accessibility, solvent accessibility, and B-factor’s Pearson correlation coefficient. This result shows that the FCX algorithm can describe the shape of the protein surface residues more accurately than the CX algorithm.
Campaign
发表于 2025-3-25 17:24:55
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音的强弱
发表于 2025-3-25 23:19:31
Auxiliary Disease and Treatment System of Aortic Disease Based on Mixed Reality,cross space real-time interaction with remote operation. This technology can provide a simple optimal solution for China’s medical conjoined and grading treatment system with a high efficient and low cost [.].
OPINE
发表于 2025-3-26 02:50:27
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Medicaid
发表于 2025-3-26 05:58:42
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nitroglycerin
发表于 2025-3-26 12:28:36
Jim Allen,Yuki Inenaga,Keiichi Yoshimotogainst some normal methods, such as methods based emotion lexicon, machine learning methods, LSTM and other neural network models. Experiments show that these two proposed models have achieved better results in text sentiment analysis. The best model CNN-BLSTM is better than the normal neural network models in accuracy.
可商量
发表于 2025-3-26 16:16:12
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编辑才信任
发表于 2025-3-26 18:40:47
https://doi.org/10.1007/978-94-007-5386-0his paper, we give a general overview of knowledge graph’s construction research based on knowledge embedding, including knowledge representation, knowledge embedding and so on. Then we summarize the challenge for the knowledge graph and the future development trend.