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Understanding us: Researchers apply algorithm to decode complex genome sequences
Over the last 10 years, breakthroughs in understanding the genetic instructions passed from parent to offspring have put ...
Scientific Research Publishing5mon
Real-Time Error Analysis of Multi-Channel Capacitive Voltage Transformer Using Co-Prediction Matrix ()
1 College of Railway Transportation, Hunan University of Technology, Zhuzhou, China. 2 Wasion Group Co., Ltd., Changsha, China. 3 State Grid Zhejiang Leqing Power ...
GitHub6mon
Anomaly Detection in Stock Prices using LSTM Autoencoder
The model identifies these anomalies based on reconstruction error, which highlights unusual patterns in the data that deviate from historical trends. An LSTM Autoencoder architecture ... for ...
IEEE8mon
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center
Abstract: Autoencoders have been extensively used in the development of recent anomaly detection techniques. The premise of their application is based on the notion that after training the autoencoder ...
GitHub1y
Generic Deep Autoencoder for Time-Series
This toolbox enables the simple implementation of different deep autoencoder. The primary focus is on multi-channel time-series analysis. Each autoencoder consists of two, possibly deep, neural ...
Frontiers2y
Anomaly detection in radiotherapy plans using deep autoencoder networks
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ...