Pulses Classification Based on Sparse Auto-Encoders Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2927724
Abstract: Unsupervised learning is applicable to classification that does not know the number of specific categories in advance, and sparse auto-encoders (SAE) are widely used for feature extraction of unsupervised learning. Therefore, this paper proposes an… read more here.
Keywords: pulses classification; sparse auto; auto encoders; classification ... See more keywords
Automatic classification of nerve discharge rhythms based on sparse auto-encoder and time series feature
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DOI: 10.1186/s12859-022-04592-3
Abstract: Background Nerve discharge is the carrier of information transmission, which can reveal the basic rules of various nerve activities. Recognition of the nerve discharge rhythm is the key to correctly understand the dynamic behavior of… read more here.
Keywords: sparse auto; discharge; nerve discharge; classification ... See more keywords
Deep fake detection using cascaded deep sparse auto-encoder for effective feature selection
Sign Up to like & getrecommendations! Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1040
Abstract: In the recent research era, artificial intelligence techniques have been used for computer vision, big data analysis, and detection systems. The development of these advanced technologies has also increased security and privacy issues. One kind… read more here.
Keywords: deep fake; deep sparse; fake; sparse auto ... See more keywords