Search Results - "Deep autoencoder Gaussian mixture model"

Unsupervised detection of multivariate geochemical anomalies using a high-performance deep autoencoder Gaussian mixture model by Wang, Xuemei, Chen, Yongliang

“…It is of great significance to construct an efficient geochemical anomaly detection model for the successful accomplishment of a mineral exploration process in…”
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Denoising Deep Autoencoder Gaussian Mixture Model and Its Application for Robust Nonlinear Industrial Process Monitoring by Zhou, Yin-Chang, Li, Meng-Qian, Ji, Long-Bin

“… This paper presents a denoising deep autoencoder Gaussian mixture model (DDAGMM) for anomaly detection in the industrial process…”
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An Unsupervised Self-Organizing Map Assisted Deep Autoencoder Gaussian Mixture Model for IoT Anomaly Detection by Saha, Kristy, Rahman Fakir, Md. Mushfiqur, Hashem, M. M. A

“… We propose an unsupervised self-organizing map-assisted deep autoencoder Gaussian mixture model…”
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Unsupervised Real-Time Communication Traffic Anomaly Detection for Multi-Dimensional Industrial Networks by hao, Weijie, Zhang, Zebang, Wang, Xuan, Yang, Qiang, Liu, Bo, Wang, Wenhai, Yang, Tao, Ye, Peng

“… The deep autoencoder Gaussian mixture model (DAGMM) is employed and fine-tuned accordingly to generate normal behavior patterns with high-dimensional, large-scale traffic data considering the real-time response of the detection system…”
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