Search Results - "Deep autoencoder Gaussian mixture model"

Communication Security Protection Method Based on Deep Autoencoder Gaussian Mixture Model

Authors: Yu, Guanghua Xia, Kuiliang

Source: Advances in Transdisciplinary Engineering ISBN: 9781643686097

On the Achievable Rate of Satellite Quantum Communication Channel using Deep Autoencoder Gaussian Mixture Model

Authors: Chakraborty, Mouli Chandra, Subhash Nag, Avishek et al.

Subject Terms: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Access URL: http://arxiv.org/abs/2507.23695

Unsupervised detection of multivariate geochemical anomalies using a high-performance deep autoencoder Gaussian mixture model

Authors: Xuemei Wang Yongliang Chen

Source: Journal of Geochemical Exploration. 271:107671

An Unsupervised Self-Organizing Map Assisted Deep Autoencoder Gaussian Mixture Model for IoT Anomaly Detection

Authors: Kristy Saha Md. Mushfiqur Rahman Fakir M. M. A Hashem

Source: 2021 5th International Conference on Electrical Information and Communication Technology (EICT). :1-6

Denoising Deep Autoencoder Gaussian Mixture Model and Its Application for Robust Nonlinear Industrial Process Monitoring

Authors: Yin-Chang Zhou Meng-Qian Li Long-Bin Ji

Source: 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). :67-73

Subject Terms: 02 engineering and technology, 0210 nano-technology, 01 natural sciences, 0104 chemical sciences

Automated Geochemical Anomaly Detection Using Self-Organizing Map and Metric Learning.

Authors: Feng, Yajie Wang, Yongzhi Wang, Cheng et al.

Source: Natural Resources Research; Dec2025, Vol. 34 Issue 6, p2915-2932, 18p

Subject Terms: SELF-organizing maps, MACHINE learning, QUANTITATIVE research, PROSPECTING, ANALYTICAL geochemistry, OUTLIER detection

Hybrid Deep Learning Framework for Anomaly Detection in Power Plant Systems.

Authors: Wang, Shuchong Zhao, Changxiang Liu, Xingchen et al.

Source: Algorithms; Nov2025, Vol. 18 Issue 11, p704, 18p

Subject Terms: AUTOENCODERS, TRANSFORMER models, ENSEMBLE learning, OUTLIER detection, ELECTRIC power plants, GAUSSIAN mixture models

Data-augmented robust multivariate anomaly detection for industrial cyber-physical systems with incomplete features.

Authors: Du, Xin Zhou, Chunjie Tian, Yu-Chu et al.

Source: International Journal of Machine Learning & Cybernetics; Nov2025, Vol. 16 Issue 11, p8661-8686, 26p

Anomaly Detection on Laminated Composite Plate Using Self-Attention Autoencoder and Gaussian Mixture Model.

Authors: Munyaneza, Olivier Sohn, Jung Woo

Source: Mathematics (2227-7390); Aug2025, Vol. 13 Issue 15, p2445, 17p

Subject Terms: AUTOENCODERS, GAUSSIAN mixture models, SIGNAL processing, STRUCTURAL health monitoring, COMPOSITE plates, LAMB waves, MACHINE learning, OUTLIER detection

Anomaly Detection in Connected and Autonomous Vehicle Trajectories Using LSTM Autoencoder and Gaussian Mixture Model.

Authors: Wang, Boyu Li, Wan Khattak, Zulqarnain H.

Source: Electronics (2079-9292); Apr2024, Vol. 13 Issue 7, p1251, 13p

Subject Terms: GAUSSIAN mixture models, ANOMALY detection (Computer security), AUTONOMOUS vehicles, INTRUSION detection systems (Computer security), COOPERATIVE research

Application of deep learning-based ethnic music therapy for selecting repertoire.

Authors: Zhang, Yehua Zhang, Yan

Source: Journal of Intelligent & Fuzzy Systems; 2024, Vol. 46 Issue 2, p5405-5414, 10p

Subject Terms: MUSIC therapy, DEEP learning, FOLK music, GAUSSIAN mixture models, FEATURE extraction, GAUSSIAN processes

Unsupervised Deep Anomaly Detection for Industrial Multivariate Time Series Data.

Authors: Liu, Wenqiang Yan, Li Ma, Ningning et al.

Source: Applied Sciences (2076-3417); Jan2024, Vol. 14 Issue 2, p774, 20p

Subject Terms: DEEP learning, TIME series analysis, COMPLEX variables, RESEARCH personnel

ODFM: Abnormal Traffic Detection Based on Optimization of Data Feature and Mining.

Authors: Xianzong Wu

Source: International Journal of Advanced Computer Science & Applications; Nov2023, Vol. 14 Issue 11, p1104-1109, 6p

DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion.

Authors: Xu, Zheng Yang, Yumeng Gao, Xinwen et al.

Source: Sensors (14248220); Apr2023, Vol. 23 Issue 8, p3910, 20p

Subject Terms: FEATURE extraction, FOURIER transforms

Anomaly-PTG: A Time Series Data-Anomaly-Detection Transformer Framework in Multiple Scenarios.

Authors: Li, Gang Yang, Zeyu Wan, Honglin et al.

Source: Electronics (2079-9292); Dec2022, Vol. 11 Issue 23, p3955, 20p

Subject Terms: TIME series analysis, ANOMALY detection (Computer security), TRAFFIC monitoring, SEQUENTIAL learning, DATA mining

Research on unsupervised anomaly data detection method based on improved automatic encoder and Gaussian mixture model.

Authors: Liu, Xiangyu Zhu, Shibing Yang, Fan et al.

Source: Journal of Cloud Computing (2192-113X); 9/29/2022, Vol. 11 Issue 1, p1-16, 16p

Subject Terms: GAUSSIAN mixture models, ANOMALY detection (Computer security), MIXTURES, CLOUD computing, DATA reduction, PROBLEM solving

SEHIDS: Self Evolving Host-Based Intrusion Detection System for IoT Networks.

Authors: Baz, Mohammed

Source: Sensors (14248220); Sep2022, Vol. 22 Issue 17, p6505, 35p

Subject Terms: INTRUSION detection systems (Computer security), INTELLIGENT transportation systems, INTERNET of things, ARTIFICIAL neural networks, NEURAL circuitry, SMART homes

Deep Belief Network Model for Detection of an Outlier in Healthcare Data

Authors: Dhabliya, Dharmesh Gupta, Ankur Dandavate, Abhijit et al.

Source: International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 11s (2023); 468-479

Subject Terms: Variational Autoencoder, Gaussian Mixture Model, Deep Belief Network, Healthcare, Curse of Dimensionality

File Description: application/pdf

Access URL: https://www.ijisae.org/index.php/IJISAE/article/view/3549

Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection.

Authors: Carrera, Francesco Dentamaro, Vincenzo Galantucci, Stefano et al.

Source: Applied Sciences (2076-3417); Feb2022, Vol. 12 Issue 3, p1759, 20p

Subject Terms: ANOMALY detection (Computer security), TRAFFIC monitoring, ARTIFICIAL intelligence, MACHINE learning, CYBERTERRORISM

Comparison of deep learning-based methods in multimodal anomaly detection: A case study in human–robot collaboration.

Authors: Lin Yang Wu Yan Hongmin Wu

Source: Science Progress; 6/8/2021, p1-24, 24p, 2 Color Photographs, 5 Charts, 2 Graphs