Výsledky vyhľadávania - convolutional LSTM autoencoder

Convolutional LSTM Neural Network Autoencoder Based Fault Detection in Manufacturing Predictive Maintenance

Autori: Young Jun Park

Zdroj: Journal of Machine and Computing. :914-923

Video Anomaly Detection using Variational Convolutional LSTM Autoencoder

Autori: Sandhya Rani Sahoo Jaideep Kokkiligadda Ratnakar Dash

Zdroj: 2023 International Conference on Communication, Circuits, and Systems (IC3S). :1-5

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder

Autori: Yangde Gao Zahoor Ahmad Jong-Myon Kim

Zdroj: Sensors (Basel)
Sensors, Vol 24, Iss 8, p 2382 (2024)

Predmety: health index analysis, convolutional LSTM autoencoder, Chemical technology, Communication, remaining useful life, 0202 electrical engineering, electronic engineering, information engineering, TP1-1185, 02 engineering and technology, 0210 nano-technology, 3. Good health

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38675999
https://doaj.org/article/e9c4faea42fb40c3a039f68109ed00b5

Bidirectional Convolutional LSTM Autoencoder for Risk Detection

Zdroj: International Journal of Advanced Trends in Computer Science and Engineering. 9:8585-8589

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding

Autori: Raju S. Bapi Manish Gupta Vijay Rowtula a ďalší

Zdroj: 2019 International Joint Conference on Neural Networks (IJCNN). :1-8

Predmety: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Forecasting gold price using hybrid deep neural network LSTM-autoencoder

Autori: Agampreet Saini Rahul Kumar Singh Puneet Sinha

Zdroj: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-19 (2025)

Predmety: Gold price prediction, LSTM, CNN, Autoencoders, Hybrid models, Time series forecasting, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2731-0809

Prístupová URL adresa: https://doaj.org/article/8664dff01c3d468cb12b3b530daf8eb2

Exploring a Convolutional Autoencoder with LSTM on E-commerce Time-Series Forecasting

Autori: Sivertsen, Sindre J. I. Sander, K. Kilen Kofod-Peterson, Anders

Prispievatelia: Sivertsen, Sindre J. I. Sander, K. Kilen Kofod-Peterson, Anders

Dostupnosť: https://hdl.handle.net/11250/3049064

Exploring a Convolutional Autoencoder with LSTM on E-commerce Time-Series Forecasting

Autori: Sivertsen, Sindre I. J. Kilen, Sander K Kofod-Petersen, Anders

Prispievatelia: Sivertsen, Sindre I. J. Kilen, Sander K Kofod-Petersen, Anders

Dostupnosť: https://hdl.handle.net/11250/3026814

Air Traffic Prediction as a Video Prediction Problem Using Convolutional LSTM and Autoencoder

Autori: Hyewook Kim Keumjin Lee

Zdroj: Aerospace, Vol 8, Iss 10, p 301 (2021)

Predmety: air traffic prediction, trajectory prediction, deep learning, video prediction, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2226-4310/8/10/301; https://doaj.org/toc/2226-4310

Prístupová URL adresa: https://doaj.org/article/b42a82d562e44f1c90ef1765f0c5f0ef

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder.

Autori: Gao, Yangde Ahmad, Zahoor Kim, Jong-Myon

Zdroj: Sensors (14248220); Apr2024, Vol. 24 Issue 8, p2382, 13p

Predmety: REMAINING useful life, MONITORING of machinery, ROTATING machinery, SIGNAL denoising, FEATURE extraction

Fall Detection from Thermal Camera Using Convolutional LSTM Autoencoder

Autori: Jacob Nogas Shehroz S. Khan Alex Mihailidis

Zdroj: EasyChair Preprints.

Prístupová URL adresa: https://easychair.org/publications/preprint_open/S48v
https://easychair.org/publications/preprint/S48v
https://easychair.org/publications/preprint_open/S48v

Semantic Segmentation of SLAR Imagery with Convolutional LSTM Selectional AutoEncoders

Autori: Antonio-Javier Gallego Pablo Gil Antonio Pertusa a ďalší

Zdroj: Remote Sensing, Vol 11, Iss 12, p 1402 (2019)

Predmety: side-looking airborne radar, oil spills, ship detection, coast detection, neural networks, supervised learning, Science

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2072-4292/11/12/1402; https://doaj.org/toc/2072-4292

Prístupová URL adresa: https://doaj.org/article/b3b429dc5c1f4da992711a0ae48484bf

Multivariate Congestion Prediction using Stacked LSTM Autoencoder based Bidirectional LSTM Model.

Autori: Vijayalakshmi B. S., Thanga Ramya Ramar K.

Zdroj: KSII Transactions on Internet & Information Systems. Jan2023, Vol. 17 Issue 1, p216-238. 23p.

Predmety: Short-term memory, Long-term memory, Traffic flow, Traffic estimation, Intelligent transportation systems, Deep learning

Solar Irradiation Prediction Hybrid Framework Using Regularized Convolutional BiLSTM-Based Autoencoder Approach

Autori: Madderla Chiranjeevi Skandha Karlamangal Tukaram Moger a ďalší

Zdroj: IEEE Access, Vol 11, Pp 131362-131375 (2023)

Predmety: Autoencoder, BiLSTM, convolution neural network, forecasting, solar power generation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/10309115/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/fb900be631794319aa05eb830e05a805

A deep learning approach for error detection and quantification in extrusion-based bioprinting

Autori: Bonatti A. F. Vozzi G. Kai Chua C. a ďalší

Zdroj: Materials Today : Proceedings

Predmety: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Extrusion-based bioprinting, Quality control, Convolutional LSTM autoencoder, Deep learning

Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks.

Autori: Rezaiezadeh Roukerd F Rajabi MM

Zdroj: Environmental monitoring and assessment [Environ Monit Assess] 2024 Jul 04; Vol. 196 (8), pp. 692. Date of Electronic Publication: 2024 Jul 04.

Spôsob vydávania: Journal Article

Informácie o časopise: Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE

Výrazy zo slovníka MeSH: Neural Networks, Computer* , Groundwater*/chemistry , Environmental Monitoring*/methods, Monte Carlo Method ; Salinity

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis

Autori: Daehee Lee Hyunseung Choo Jongpil Jeong

Zdroj: Sensors, Vol 24, Iss 15, p 4855 (2024)

Predmety: bearing fault diagnosis, fault simulator, graph convolution network (GCN), self-attention, long short-term memory (LSTM) autoencoder, Chemical technology, TP1-1185

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/15/4855; https://doaj.org/toc/1424-8220

Prístupová URL adresa: https://doaj.org/article/2dcdc4d428104c0b9eddaf380f220523

Advancements in Gas Turbine Fault Detection: A Machine Learning Approach Based on the Temporal Convolutional Network–Autoencoder Model

Autori: Al-Tekreeti Watban Khalid Fahmi Kazem Reza Kashyzadeh Siamak Ghorbani

Zdroj: Applied Sciences, Vol 14, Iss 11, p 4551 (2024)

Predmety: fault diagnosis, TCN–Autoencoder, predictive maintenance, power plant, gas turbine, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/11/4551; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/b6dea9cac87741288d1e56289b9142b6

Klasifikasi Nyeri pada Video Ekspresi Wajah Bayi Menggunakan DCNN Autoencoder dan LSTM

Autori: Yosi Kristian I Ketut Eddy Purnama Effendy Hadi Sutanto a ďalší

Zdroj: Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 7, Iss 3 (2018)

Predmety: neural network, dcnn, lstm, autoencoder, klasifikasi nyeri, ekspresi wajah bayi, Engineering (General). Civil engineering (General), TA1-2040

Popis súboru: electronic resource

Relation: http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/440; https://doaj.org/toc/2301-4156; https://doaj.org/toc/2460-5719

Prístupová URL adresa: https://doaj.org/article/dffa87ae0bd645ada23f136b7fc77f6e

A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals

Autori: Homa Arab Iman Ghaffari Romaric Mvone Evina a ďalší

Zdroj: IEEE Access, Vol 10, Pp 14797-14806 (2022)

Predmety: Artificial intelligence, convolutional neural network (CNN), deep learning, denoising, Doppler frequency, long short-term memory (LSTM), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/9705207/; https://doaj.org/toc/2169-3536

Prístupová URL adresa: https://doaj.org/article/f359468555474a688f0637afab84a65e