Výsledky vyhledávání - "memory 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

Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap

Autoři: Alexandra Akins Derek Kultgen Xu Wu a další

Zdroj: Nuclear Technology. :1-14

User Environment Detection Using Long Short-Term Memory Autoencoder

Autoři: Satheesh, Karthika Singh, Kamal Hamideche, Sid a další

Přispěvatelé: Satheesh, Karthika Singh, Kamal Hamideche, Sid a další

Zdroj: 2024 International Symposium on Networks, Computers and Communications (ISNCC). :1-6

Témata: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], radio data, user environment, LSTM-AE, Autoencoder, LSTM, anomaly detection

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04722057v1

Multiscale Memory Autoencoder and Spatial Filtering for Hyperspectral Anomaly Detection

Autoři: Ziyang Ma Yongshan Zhang Yuyun Lian a další

Zdroj: IEEE Geoscience and Remote Sensing Letters. 22:1-5

Long-short term memory autoencoder using delta with beta bands of EEG enables highly accurate prediction of seizure outcome in Infantile Epileptic Spasms Syndrome of unknown etiology

Autoři: Ryosuke, Suzui Jun, Natsume Tatsuki, Saito a další

Zdroj: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). :1-4

Témata: Male, Machine Learning, Delta Rhythm, Seizures, Humans, Infant, Electroencephalography, Female, Beta Rhythm, Spasms, Infantile

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40039490

Long Short Term Memory Autoencoder-aided Evolutionary Algorithm to Solve an Energy-Minimized Task Scheduling Problem

Autoři: Zhiwen Miao Chengran Lin

Zdroj: 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). :3083-3088

Spatial-temporal generative network based on deep long short-term memory autoencoder for hand skeleton data sequences reconstruction and recognition

Autoři: Safa Ameur Mohamed Ali Mahjoub Anouar Ben Khalifa

Zdroj: Engineering Applications of Artificial Intelligence. 161:112289

Orthogonal long short-term memory autoencoder for semi-supervised soft sensor modeling

Autoři: Fangyuan Ma Cheng Ji Jingde Wang a další

Zdroj: Chemometrics and Intelligent Laboratory Systems. 265:105499

Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap.

Autoři: Akins, Alexandra Kultgen, Derek Wu, Xu a další

Zdroj: Nuclear Technology. Dec2025, Vol. 211 Issue 12, p3004-3017. 14p.

Long short-term memory autoencoder based network of financial indices

Autoři: Kamrul Hasan Tuhin Ashadun Nobi Mahmudul Hasan Rakib a další

Zdroj: Humanities & Social Sciences Communications, Vol 12, Iss 1, Pp 1-15 (2025)

Témata: AZ20-999, Social Sciences, History of scholarship and learning. The humanities

Přístupová URL adresa: https://doaj.org/article/d2e14b80ff7d402d83ba4334fe36a96e

Real-Time Health Indicator of Hydraulic Turbines Using Long Short-Term Memory Autoencoder and LabVIEW

Autoři: Blondelle Melina Atsafack Charles Kabiri Gerard Rushingabigwi

Motion Artifact Removal in Functional Near‐Infrared Spectroscopy Based on Long Short‐Term Memory‐Autoencoder Model

Autoři: Pan Yang Junhong Wang Ting Wang a další

Zdroj: European Journal of Neuroscience. 61

A Wavelet-Based Memory Autoencoder for Noncontact Fingerprint Presentation Attack Detection

Autoři: Yi-Peng Liu Hangtao Yu Haonan Fang a další

Zdroj: IEEE Transactions on Information Forensics and Security. 19:8717-8730

Fault detection in automated production systems based on a long short-term memory autoencoder

Autoři: Stefan Windmann Tim Westerhold

Zdroj: at - Automatisierungstechnik. 72:47-58

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Appearance-Motion United Memory Autoencoder for Video Anomaly Detection

Autoři: Zihao Jin Yuxuan Zhao

Zdroj: 2023 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). :179-187

Long Short-Term Memory Autoencoder for Anomaly Detection in Rails Using Laser Doppler Vibrometer Measurements

Autoři: Chi Yang Korkut Kaynardag Guan-Wei Lee a další

Zdroj: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems. 8

Low-Rank Constrained Memory Autoencoder for Hyperspectral Anomaly Detection

Autoři: Yuyun Lian Yongshan Zhang Xuxiang Feng a další

Zdroj: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Long Short-Term Memory Autoencoder and Extreme Gradient Boosting-Based Factory Energy Management Framework for Power Consumption Forecasting

Autoři: Yeeun Moon Younjeong Lee Yejin Hwang a další

Zdroj: Energies, Vol 17, Iss 15, p 3666 (2024)

Témata: long short-term memory autoencoder, Technology, extreme gradient boosting, factory energy management system, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, electricity consumption prediction, 7. Clean energy

Přístupová URL adresa: https://doaj.org/article/d486e85efcea494e806e28d271b9f0d8

Learning topology optimization process via convolutional long‐short‐term memory autoencoder‐decoder

Autoři: Qiaochu Ma Edward C. DeMeter Saurabh Basu

Zdroj: International Journal for Numerical Methods in Engineering. 124:2571-2588

Témata: 0203 mechanical engineering, 0211 other engineering and technologies, 02 engineering and technology

MOLA: Enhancing Industrial Process Monitoring Using Multi-Block Orthogonal Long Short-Term Memory Autoencoder

Autoři: Ma, Fangyuan Ji, Cheng Wang, Jingde a další

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2410.07508