Search Results - "spatial-temporal autoencoder"

STAR: A Spatial-Temporal Autoencoder for EEG Restoration in Emotion Recognition

Authors: Hao-Long Yin Wei-Long Zheng Bao-Liang Lu

Source: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data

Authors: Guoqian Jiang Pengcheng Nan Jingchao Zhang et al.

Source: IEEE Transactions on Instrumentation and Measurement. 73:1-14

Stacked Spatial–Temporal Autoencoder for Quality Prediction in Industrial Processes

Authors: Feng Yan Chunjie Yang Xinmin Zhang

Source: IEEE Transactions on Industrial Informatics. 19:8625-8634

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Spatial-Temporal Autoencoder with Attention Network for Video Compression

Authors: Neetu Sigger Naseer Al-Jawed Tuan Nguyen et al.

Contributors: Neetu Sigger Naseer Al-Jawed Tuan Nguyen et al.

Source: Lecture Notes in Computer Science ISBN: 9783031064326

Subject Terms: QA75, N1

File Description: application/pdf

Access URL: http://gala.gre.ac.uk/id/eprint/36020/7/36020_NGUYEN_Spatial_temporal_autoencoder.pdf

Efficient identification of Alzheimer’s brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders

Authors: Lingyun Wu Quanfa Zhao Jing Liu et al.

Source: Biomedical Signal Processing and Control. 86:104917

Spatial-temporal autoencoder with attention network for video compression

Authors: Sigger, Neetu Al-Jawed, Naseer Nguyen, Tuan et al.

Contributors: Sigger, Neetu Al-Jawed, Naseer Nguyen, Tuan et al.

Subject Terms: N Visual arts (General) For photography, see TR, QA75 Electronic computers. Computer science

File Description: application/pdf

Relation: http://gala.gre.ac.uk/id/eprint/36020/7/36020_NGUYEN_Spatial_temporal_autoencoder.pdf; Sigger, Neetu, Al-Jawed, Naseer and Nguyen, Tuan ORCID logoorcid:0000-0003-0055-8218 (2022) Spatial-temporal autoencoder with attention network for video compression. In: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Online. February 6-8, 2022. Computer Vision Theory and Applications (VISAPP), 4 . Computer Vision Theory and Applications (VISAPP) - SCITEPRESS Digital Library, Setúbal, Portugal, pp. 364-371. ISBN 978-9897585555; ISSN 2184-4321 (doi:10.5220/0010811900003124 )

Availability: http://gala.gre.ac.uk/id/eprint/36020/
http://gala.gre.ac.uk/id/eprint/36020/7/36020_NGUYEN_Spatial_temporal_autoencoder.pdf
https://doi.org/10.5220/0010811900003124

Efficient identification of Alzheimer's brain dynamics with Spatial-Temporal Autoencoder: A deep learning approach for diagnosing brain disorders.

Authors: Wu, Lingyun Zhao, Quanfa Liu, Jing et al.

Source: Biomedical Signal Processing & Control. Sep2023:Part A, Vol. 86, pN.PAG-N.PAG. 1p.

Subject Terms: Deep learning, Alzheimer's disease, Convolutional neural networks, Older people, Diagnosis

基于时空自编码网络的风电齿轮箱状态监测. (Chinese)

Alternate Title: Condition Monitoring of Wind Turbine Gearbox Based on Spatial-temporal Autoencoder Network. (English)

Authors: 刘长良 徐健 王梓齐

Source: Information & Control; 2023, Vol. 52 Issue 1, p84-92, 9p

New Findings from Tianjin University in Alzheimer Disease Provides New Insights (Efficient Identification of Alzheimer's Brain Dynamics With Spatial-temporal Autoencoder: a Deep Learning Approach for Diagnosing Brain Disorders).

Source: Pain & Central Nervous System Week. 9/8/2023, p655-655. 1p.

Feature selection algorithm assisted residual channel attention spatio-temporal auto encoder for video anomaly detection.

Authors: Prasudha, M. Lakshmi Sukhavasi, Vidyullatha Neha, Kandula et al.

Source: Signal, Image & Video Processing; Jan2025, Vol. 19 Issue 1, p1-14, 14p

Method, System, and Computer Program Product for Spatial-Temporal Prediction Using Trained Spatial-Temporal Masked Autoencoders

Anomaly detection of industrial multi-sensor signals based on enhanced spatiotemporal features.

Authors: Jiang, Lin Xu, Hang Liu, Jinhai et al.

Source: Neural Computing & Applications; Jun2022, Vol. 34 Issue 11, p8465-8477, 13p

Subject Terms: INTRUSION detection systems (Computer security), MAGNETIC flux leakage, SIGNAL detection, MANUFACTURING processes, FEATURE extraction, SIGNAL processing

Zebra optimization algorithm with chaos convergence factor and Gaussian mutation for MLP soft-sensor model of debutanizer column.

Authors: Shang-Guan, Yi-Peng Sun, Yu-Feng Wang, Jie-Sheng et al.

Source: Cluster Computing; 2025, Vol. 28 Issue 11, p1-31, 31p

Subject Terms: OPTIMIZATION algorithms, MULTILAYER perceptrons, ESTIMATION theory, PRODUCTION engineering, MATHEMATICAL optimization

Networking Systems for Video Anomaly Detection: A Tutorial and Survey.

Authors: Liu, Jing Liu, Yang Lin, Jieyu et al.

Source: ACM Computing Surveys; Oct2025, Vol. 57 Issue 10, p1-37, 37p

Subject Terms: DEEP learning, ARTIFICIAL intelligence, ARTIFICIAL neural networks, GENERATIVE artificial intelligence, REINFORCEMENT learning, CONVOLUTIONAL neural networks

Multi-modality NDE fusion using encoder–decoder networks for identify multiple neurological disorders from EEG signals.

Authors: Jain, Shraddha Srivastava, Rajeev

Source: Technology & Health Care; Sep2025, Vol. 33 Issue 5, p2431-2451, 21p

Subject Terms: NEUROLOGICAL disorders, DIAGNOSIS, MULTISENSOR data fusion, DEEP learning, BRAIN waves, DATA integration

The potential of machine learning in diagnosing neurological and psychiatric diseases: a review.

Authors: Ricetti, Claudia Carrara, Luca La Torre, Davide

Source: Discover Artificial Intelligence; 6/15/2025, Vol. 5 Issue 1, p1-40, 40p

Subject Terms: MACHINE learning, NEUROLOGICAL disorders, MENTAL illness, DIAGNOSIS, INDIVIDUALIZED medicine, DATA privacy, ARTIFICIAL intelligence, ETHICAL problems

Connectogram-COH: A Coherence-Based Time-Graph Representation for EEG-Based Alzheimer's Disease Detection.

Authors: Aljanabi, Ehssan Türker, İlker

Source: Diagnostics (2075-4418); Jun2025, Vol. 15 Issue 11, p1441, 22p

Subject Terms: ALZHEIMER'S disease, REPRESENTATIONS of graphs, DEEP learning, COHERENCE (Physics), TIME series analysis

DEMNET NeuroDeep: Alzheimer detection using electroencephalogram and deep learning.

Authors: Joshi, Vaishali M. Dandavate, Prajkta P. Rashmi, R. et al.

Source: Bulletin of Electrical Engineering & Informatics; Feb2025, Vol. 14 Issue 1, p457-465, 9p

Subject Terms: ARTIFICIAL neural networks, LONG short-term memory, DEEP learning, ALZHEIMER'S disease, DIFFERENTIAL entropy

Hybrid Artificial-Intelligence-Based System for Unmanned Aerial Vehicle Detection, Localization, and Tracking Using Software-Defined Radio and Computer Vision Techniques.

Authors: López-Muñoz, Pablo San Frutos, Luis Gimeno Abarca, Christian et al.

Source: Telecom; Dec2024, Vol. 5 Issue 4, p1286-1308, 23p

Subject Terms: OBJECT recognition (Computer vision), DRONE aircraft, DETECTION algorithms, SOFTWARE radio, COMPUTER vision

UAV Anomaly Detection Method Based on Convolutional Autoencoder and Support Vector Data Description with 0/1 Soft-Margin Loss.

Authors: Chen, Huakun Lyu, Yongxi Shi, Jingping et al.

Source: Drones (2504-446X); Oct2024, Vol. 8 Issue 10, p534, 24p