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Research on a Defecation Pre-Warning Algorithm for the Disabled Elderly Based on a Semi-Supervised Generative Adversarial Network.

, , , и . Sensors, 22 (17): 6704 (2022)

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Yang Yang

Yang Yang

Yang Yang

Yang Yang

Yang Yang

 

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Enhancing Efficiency in Sparse Models with Sparser Selection., , , , , и . CoRR, (2024)Research on a Defecation Pre-Warning Algorithm for the Disabled Elderly Based on a Semi-Supervised Generative Adversarial Network., , , и . Sensors, 22 (17): 6704 (2022)No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence., , , , , и . ESEC/SIGSOFT FSE, стр. 382-394. ACM, (2022)Deep residual attention network for human defecation prediction using bowel sounds., , , , и . Multim. Tools Appl., 83 (12): 36097-36113 (апреля 2024)Multiple Bloom filters., и . ICNCC, стр. 59-63. ACM, (2017)Traffic Congestion Level Prediction Based on Video Processing Technology., , , и . PCM (2), том 10736 из Lecture Notes in Computer Science, стр. 970-980. Springer, (2017)Prompt Tuning in Code Intelligence: An Experimental Evaluation., , , , , и . IEEE Trans. Software Eng., 49 (11): 4869-4885 (ноября 2023)A Modular End Effector with Active Rolling Fingertip for Picking Cloth-Like Objects., , , , , и . CASE, стр. 1-6. IEEE, (2023)Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling., , , , , , , и . CoRR, (2024)Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling., , , , , и . EMNLP, стр. 2800-2806. Association for Computational Linguistics, (2023)