Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
IEEE

Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

Abstract: Depression is a debilitating and enervating mental health disorder that requires attention for necessitating accurate and efficient diagnostic techniques ...
IEEE

VSP Wavefield Separation via Physical Prior-guided Convolutional Autoencoder

Abstract: Conventional vertical seismic profiling (VSP) wavefield separation techniques often struggle to achieve high-accuracy results in practical applications due to three key factors: ...
Frontiers

Efficient spiking convolutional neural networks accelerator with multi-structure compatibility

1 College of Electronic Science and Technology, National University of Defense Technology, Changsha, China 2 College of Electronics and Internet of Things, Chongqing Polytechnic University of ...
C&EN

Soft Measurement Modeling Method Based on Quality-Related Mixed Variational Autoencoder Regression

Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems, School of Engineering, Huzhou University, Huzhou 313000, PR China Zhejiang Key Laboratory of Industrial Solid ...