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Prediction System for Wind Power Generation Based on Machine Learning Models.

, , , , , and . CISP-BMEI, page 1-6. IEEE, (2023)

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Discovery of medical pathways considering complications., , , and . Comput. Electr. Eng., (March 2023)Study on Differences of Early-Mid ERPs Induced by Emotional Face and Scene Images., , , and . ISNN (2), volume 10262 of Lecture Notes in Computer Science, page 550-558. Springer, (2017)A study of acoustic source generation mechanism of Magnetoacoustic Tomography., , , , and . Comput. Medical Imaging Graph., 38 (1): 42-48 (2014)Low Complexity MMSE-SIC Receiver for OTFS in High-Speed Mobile Scenarios., , , , and . IEEE Commun. Lett., 28 (3): 667-671 (March 2024)Improved Secondary Range Compression focusing method in GEO SAR., , and . ICASSP, page 1373-1376. IEEE, (2011)Using SHAP to Measure Interpretability of Neuronal Feature Visualization., , , , , , , , and . VINCI, page 30:1-30:3. ACM, (2023)High Level Synthesis with Multiple supply Voltages for Energy and Combined Peak Power Minimization., , , , and . APCCAS, page 864-867. IEEE, (2006)Prediction System for Wind Power Generation Based on Machine Learning Models., , , , , and . CISP-BMEI, page 1-6. IEEE, (2023)Using DBSCAN-RF Algorithm and Multi-source Features to Model Deep Convection in Hubei, China., , , , and . SpatialDI, volume 13614 of Lecture Notes in Computer Science, page 71-86. Springer, (2022)DeepFake Detection on Publicly Available Datasets using Modified AlexNet., , , , and . SSCI, page 1866-1871. IEEE, (2020)