NOISE DETECTION AND CLASSIFICATION IN CHAGASIC ECG SIGNALS BASED ON ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKS Back August 24, 2026 by emily chan MetadataShare TitleNOISE DETECTION AND CLASSIFICATION IN CHAGASIC ECG SIGNALS BASED ON ONE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORKSAuthorCALDAS, WESLLEY LIOBA | DO VALE MADEIRO, JOÃO PAULO | PEDROSA, ROBERTO COURY | GOMES, JOÃO PAULO PORDEUS | DU, WENCAI | MARQUES, JOÃO ALEXANDRE LOBOPUBLISH YEAR2023FACULTY / RESEARCH UNITINSTITUTE FOR DATA ENGINEERING AND SCIENCESDOCUMENT TYPEBook SectionSDG CategorySDG 3 Good Health and Well-beingPart ofCOMPUTER AND INFORMATION SCIENCEDOI10.1007/978-3-031-12127-2_8ISBN978-3-031-12126-5 978-3-031-12127-2LANGUAGEENGLISHLink to Publisherhttps://link.springer.com/10.1007/978-3-031-12127-2_8 Continue browsing LEARNING DYNAMICS OF KERNEL-BASED DEEP NEURAL NETWORKS IN MANIFOLDS A MODEL OF INTEGRATING BERT AND BIGRU+ ATTENTION DUAL-CHANNEL MECHANISM FOR INVESTOR SENTIMENT ANALYSIS OF STOCK PRICE FORECAST Back to items list
