Výsledky vyhledávání - Spatio-temporal autoencoder

STMemAE: An Instance-Level Based Spatio-Temporal Memory Autoencoder for Unsupervised Vision-Based Seizure Detection

Autoři: Dinghan Hu Kai Wu Yuan Fang a další

Zdroj: IEEE Transactions on Emerging Topics in Computational Intelligence. 9:3298-3310

Reinforcement Learning and Spatio-Temporal Graph Neural Networks for Alzheimer's Disease Progression Prediction with Variational Autoencoder-Based Data Imputation

Autoři: Garima Shukla Vanshaj Awasthi Sampurna Roy a další

Zdroj: 2025 12th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP). :1-7

Spatio-Temporal Analysis of Urban Leisure Consumption Activities Based on Autoencoder and Multi-Source Data: A Case Study of Chongqing, China

Autoři: Ziyu Hu Moran Zhang Li Liu a další

Zdroj: IEEE Access, Vol 13, Pp 56112-56128 (2025)

Témata: gated recurrent unit (GRU), multi-source data, Electrical engineering. Electronics. Nuclear engineering, urban vitality, spatio-temporal distribution, Urban leisure consumption activities, TK1-9971

Přístupová URL adresa: https://doaj.org/article/0fa6224b37b24bbf85714113aa09e56e

Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation

Autoři: Sipilä, Mika Nordhausen, Klaus Taskinen, Sara

Zdroj: Lecture Notes in Computer Science ISBN: 9783032061089

Témata: Machine Learning, Methodology (stat.ME), FOS: Computer and information sciences, Methodology, Machine Learning (stat.ML), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2509.11962

MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification

Autoři: Zongqin Yue Jindong Xu Ziyi Li a další

Zdroj: International Journal of Remote Sensing. 46:4215-4240

Spatio-Temporal Attention Adversarial Autoencoders for Enhanced Anomaly Detection in High-Pressure Grinding Rolls

Autoři: Danwei Zhang Wen Yu Quan Xu a další

Zdroj: IEEE Transactions on Industrial Informatics. 21:2917-2926

Revealing spatio-temporal characteristics of ecological resistance surfaces: A regional study case based on coupled algorithms AutoEncoder-XGBoost

Autoři: Yeming Lao Xiaorong He Jiale Chen a další

Zdroj: Ecological Frontiers. 45:422-432

Enhanced demodulator for 5G NTN using spatio-temporal attention convolutional autoencoder and Akida Brainchip SNN

Autoři: Swetha Varadarajulu Marcele O. K. Mendonça Geoffrey Eappen a další

Zdroj: IET Conference Proceedings. 2024:99-104

Map-Informed Trajectory Recovery With Adaptive Spatio-Temporal Autoencoder

Autoři: Yongchao Ye Ao Wang Adnan Zeb a další

Zdroj: IEEE Transactions on Intelligent Transportation Systems. 26:102-115

Identification of Spatio-Temporal Features in Volumetric Task-Based fMRI Data Using 3D Variational Autoencoder.

Autoři: Wang K Liu Z Yin S a další

Zdroj: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2025 Jul; Vol. 2025, pp. 1-5.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Internet ISSN: 2694-0604 (Electronic) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

Výrazy ze slovníku MeSH: Magnetic Resonance Imaging*/methods , Brain*/diagnostic imaging , Brain*/physiology , Imaging, Three-Dimensional*/methods , Image Processing, Computer-Assisted*/methods, Humans ; Algorithms ; Spatio-Temporal Analysis ; Deep Learning ; Brain Mapping/methods ; Connectome ; Autoencoder

Variational Autoencoders for Spatio-Temporal Dynamic Graph Data

Autoři: Yanhui Peng Sicheng Xi

Zdroj: Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management. :32-37

An attention graph stacked autoencoder for anomaly detection of electro-mechanical actuator using spatio-temporal multivariate signals

Autoři: Jianyu WANG Heng ZHANG Qiang MIAO

Zdroj: Chinese Journal of Aeronautics. 37:506-520

Flow field prediction in bed configurations: A parametric spatio-temporal convolutional autoencoder approach

Autoři: Ali Mjalled Reza Namdar Lucas Reineking a další

Zdroj: Numerical Heat Transfer, Part B: Fundamentals. :1-24

Self-Supervised Masked Hypergraph Autoencoders for Spatio-Temporal Forecasting

Autoři: Yuanpei Huang Nanfeng Xiao

Zdroj: 2024 International Joint Conference on Neural Networks (IJCNN). :1-8

ST-AAE: Intrusion Detection in In-Vehicle Networks Using Spatio-Temporal Adversarial Autoencoder

Autoři: Hyo-Eun Kang

Zdroj: Journal of Software Assessment and Valuation. 20:53-65

DRDCAE-STGNN: An End-to-End Discrimina-tive Autoencoder with Spatio-Temporal Graph Learning for Motor Imagery Classification

Autoři: Wang, Yi Zhang, Haodong Li, Hongqi

Témata: Human-Computer Interaction, FOS: Computer and information sciences, Human-Computer Interaction (cs.HC)

Přístupová URL adresa: http://arxiv.org/abs/2509.05943

A Spatio‐Temporal Enhanced Graph‐Transformer AutoEncoder embedded pose for anomaly detection

Autoři: Honglei Zhu Pengjuan Wei Zhigang Xu

Zdroj: IET Computer Vision, Vol 18, Iss 3, Pp 405-419 (2024)

Témata: QA76.75-76.765, convolutional neural nets, feature extraction, Computer applications to medicine. Medical informatics, R858-859.7, 0202 electrical engineering, electronic engineering, information engineering, video surveillance, Computer software, 02 engineering and technology, pose estimation, computer vision

Přístupová URL adresa: https://doaj.org/article/41d360b7678b4b1285f23c36b7d97b4f

Hierarchical Complementary Enhanced Autoencoder Integrating Spatio‐Temporal Interaction Feature for Soft Sensor.

Autoři: Guo, Xiaoping Guo, Jinghong Li, Yuan

Zdroj: Asia-Pacific Journal of Chemical Engineering. Nov2025, p1. 16p. 12 Illustrations.

Témata: *SPATIOTEMPORAL processes, *DEEP learning, *INTELLIGENT sensors, *FORECASTING, *RANDOM noise theory, *AUTOENCODERS, *INDUSTRIAL applications, *FEATURE extraction

A Decoupled Spatio-Temporal Autoencoder for Anomaly Detection in Industrial Control Systems

Autoři: zhilei Yan Jinjiang Wang zhenqiang Wei a další

Spatio-Temporal Adaptive Diffusion Network with Improved Autoencoder for Video Anomaly Detection

Autoři: Hongmin Zhang Dingding Yan Kun Zuo a další