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33%, a specificity of 93.02%, an AUC of 91.26% and an accuracy of 92.07% on 13 patients from the public CHB-MIT scalp EEG dataset. Our experiments show that different EEG signal prediction segment lengths are an important factor affecting prediction performance. Our proposed method is competitive and achieves good robustness without patient-specific engineering.Flash Radiography inspections stand to gain from inversion to infer density distribution of object based on X-ray transmission image. It is indispensable to be able to reliably pr
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