极大的痛苦 发表于 2025-3-28 18:20:46
http://reply.papertrans.cn/88/8763/876287/876287_41.pngsphincter 发表于 2025-3-28 19:01:51
http://reply.papertrans.cn/88/8763/876287/876287_42.pngCHARM 发表于 2025-3-28 23:39:44
http://reply.papertrans.cn/88/8763/876287/876287_43.png开始没有 发表于 2025-3-29 05:06:56
http://reply.papertrans.cn/88/8763/876287/876287_44.pngbraggadocio 发表于 2025-3-29 09:49:14
Wavelet-based Machine Learning Techniques for ECG Signal Analysis, neural network (EBPNN), and support vector machine (SVM). The DWT basis functions used are Daubechies-4, Daubechies-6, Daubechies-8, Symlet-2, Symlet-4, Symlet-6, Symlet-8, Coiflet-2, and Coiflet-5. An attempt is made to exploit the energy compaction in the wavelet sub-bands to yield higher classif影响 发表于 2025-3-29 11:39:40
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http://reply.papertrans.cn/88/8763/876287/876287_47.png预测 发表于 2025-3-29 21:38:48
http://reply.papertrans.cn/88/8763/876287/876287_48.pngDesert 发表于 2025-3-30 01:22:17
iptions simple enough to be used efficiently in an optimization calculation. As a step in this direction, we here present a methodolgy where high-frequency intra-farm power generation data from the offshore wind farm Nysted is analyzed by comparison to several variations of engineering wake models,