Výsledky vyhledávání - "asymmetric denoising autoencoder"

Multi-Type Missing Imputation of Time-Series Power Equipment Monitoring Data Based on Moving Average Filter–Asymmetric Denoising Autoencoder

Autoři: Ling Jiang Juping Gu Xinsong Zhang a další

Zdroj: Sensors, Vol 23, Iss 24, p 9697 (2023)

Témata: power equipment monitoring data, multi-type missing, data imputation, asymmetric denoising autoencoder, moving average filter, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/24/9697; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/c083a7495d9148b593133fcfc4f031df

Multi-Type Missing Imputation of Time-Series Power Equipment Monitoring Data Based on Moving Average Filter–Asymmetric Denoising Autoencoder.

Autoři: Jiang, Ling Gu, Juping Zhang, Xinsong a další

Zdroj: Sensors (14248220); Dec2023, Vol. 23 Issue 24, p9697, 16p

Témata: MOVING average process, MULTIPLE imputation (Statistics), MISSING data (Statistics), SUPERVISORY control systems, ACQUISITION of data, PRIOR learning

SimpLex: a lexical text simplification architecture.

Autoři: Truică, Ciprian-Octavian Stan, Andrei-Ionuţ Apostol, Elena-Simona

Zdroj: Neural Computing & Applications; Mar2023, Vol. 35 Issue 8, p6265-6280, 16p

Témata: COMPUTATIONAL linguistics, NEW words, ENGLISH language, ANNUAL meetings

Inside Deep Learning : Math, Algorithms, Models

Autoři: Edward Raff

Resource Type: eBook.

Témata: Artificial intelligence, Deep learning (Machine learning), Python (Computer program language)

Categories: COMPUTERS / Data Science / Neural Networks, COMPUTERS / Languages / Python, COMPUTERS / Data Science / Machine Learning