Suchergebnisse - "feature-embedded stacked sparse autoencoder"

Sample-Pair Envelope Diamond Autoencoder Ensemble Algorithm for Chronic Disease Recognition

Autoren: Yi Zhang Jie Ma Xiaolin Qin et al.

Quelle: Applied Sciences, Vol 13, Iss 12, p 7322 (2023)

Schlagwörter: recognition of chronic disease, wearable sensor monitoring, sample-pair envelope concatenation, envelope learning, diamond-like feature learning, feature-embedded stacked sparse autoencoder, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Relation: https://www.mdpi.com/2076-3417/13/12/7322; https://doaj.org/toc/2076-3417; https://doaj.org/article/34e413f2a72d4928a8f395c07dad668e

Verfügbarkeit: https://doi.org/10.3390/app13127322
https://doaj.org/article/34e413f2a72d4928a8f395c07dad668e

Health Monitoring of Movement Disorder Subject based on Diamond Stacked Sparse Autoencoder Ensemble Model

Autoren: Tang, Likun Ma, Jie Li, Yongming

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2303.08538

Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble

Autoren: Li, Yongming Lei, Yan Wang, Pin et al.

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2002.06761

Sample-Pair Envelope Diamond Autoencoder Ensemble Algorithm for Chronic Disease Recognition.

Autoren: Zhang, Yi Ma, Jie Qin, Xiaolin et al.

Quelle: Applied Sciences (2076-3417); Jun2023, Vol. 13 Issue 12, p7322, 29p

Schlagwörter: CHRONIC diseases, WEARABLE technology, ALGORITHMS, HUMAN body, DIAMONDS, EARLY diagnosis, NANODIAMONDS