Výsledky vyhledávání - Bidirectional LSTM autoencoder

Insolvency prediction of Australian construction companies using deep learning with bidirectional LSTM autoencoder

Autoři: Bu, Lishan Wang, Shaoli Lin, Gang a další

Zdroj: Journal of Industrial and Management Optimization. 20:1967-1978

Popis souboru: fulltext

INSOLVENCY PREDICTION OF AUSTRALIAN CONSTRUCTION COMPANIES USING DEEP LEARNING WITH BIDIRECTIONAL LSTM AUTOENCODER

Autoři: Bu, L. Wang, S. Lin, G. a další

Témata: Journal Article

URL: http://hdl.handle.net/20.500.11937/96302

Bidirectional LSTM Autoencoder Transformer for Remaining Useful Life Estimation

Autoři: Zhengyang Fan Wanru Li Kuo-Chu Chang

Témata: 7. Clean energy

Video Risk Detection and Localization using Bidirectional LSTM Autoencoder and Faster R-CNN

Autoři: Idir Boulfrifi Mohamed Lahraichi Khalid Housni

Zdroj: Advances in Science, Technology and Engineering Systems Journal. 6:145-150

Optimizing dotted Arabic expiration date recognition with ARABEX: a convolutional autoencoder with bidirectional LSTM and CRNN approach.

Autoři: Zaki, Hozaifa Soliman, Ghada

Zdroj: International Journal on Document Analysis & Recognition; Dec2025, Vol. 28 Issue 4, p555-572, 18p

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

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

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

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

A Bidirectional Long Short-Term Memory Autoencoder Transformer for Remaining Useful Life Estimation

Autoři: Zhengyang Fan Wanru Li Kuo-Chu Chang

Zdroj: Mathematics, Vol 11, Iss 24, p 4972 (2023)

Témata: Transformer, self-supervised learning, autoencoder, remaining useful life prediction, bidirectional LSTM, turbofan engine, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7390/11/24/4972; https://doaj.org/toc/2227-7390

Přístupová URL adresa: https://doaj.org/article/22155d09ffbf48e69bc3e3f80f4376a7

Bidirectional LSTM Autoencoder for Sequence Based Anomaly Detection in Cyber Security

Autoři: Chawla, Ashima Jacob, Paul Lee, Brian a další

Přispěvatelé: Chawla, Ashima Jacob, Paul Lee, Brian a další

Zdroj: International Journal of Simulation--Systems, Science & Technology

Témata: 0202 electrical engineering, electronic engineering, information engineering, System call, Autoencoders, 02 engineering and technology, Host based intrusion, CuDNNLSTM, Embeddings, Software Research Institute AIT

Popis souboru: PDF; application/pdf

Přístupová URL adresa: https://orcid.org/0000-0001-6874-5699
http://research.thea.ie/handle/20.500.12065/3154
https://orcid.org/0000-0001-5933-3107
https://orcid.org/0000-0001-5090-2756

Prediction model of sparse autoencoder-based bidirectional LSTM for wastewater flow rate.

Autoři: Huang J Yang S Li J a další

Zdroj: The Journal of supercomputing [J Supercomput] 2023; Vol. 79 (4), pp. 4412-4435. Date of Electronic Publication: 2022 Sep 26.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Kluwer Academic Publishers Country of Publication: United States NLM ID: 9889997 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0920-8542 (Print) Linking ISSN: 09208542 NLM ISO Abbreviation: J Supercomput Subsets: PubMed not MEDLINE

Tool wear monitoring for robotic milling based on multi-dimensional stacked sparse autoencoders and bidirectional LSTM networks with singularity features.

Autoři: Zhou, Chang'an Zhang, Kaixing Xu, Jiawei a další

Zdroj: International Journal of Advanced Manufacturing Technology. Feb2025, Vol. 136 Issue 7/8, p3543-3557. 15p.

Témata: *LONG short-term memory, *SINGLE-degree-of-freedom systems, *MILLING cutters, *MACHINE parts, *ROBOTICS, *INDUSTRIAL robots

Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder

Autoři: Nakamura, Takuma Goto, Ryosuke

Témata: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/1807.03133

Uncertainty quantification for variational Bayesian dropout based deep bidirectional LSTM networks.

Autoři: Sardar, Iqra Noor, Farzana Iqbal, Muhammad Javed a další

Zdroj: Stochastic Environmental Research & Risk Assessment. May2025, Vol. 39 Issue 5, p2021-2038. 18p.

Témata: *DATA augmentation, *ARTIFICIAL intelligence, *AUTOENCODERS, *MATHEMATICAL statistics, *MACHINE learning, *DEEP learning

Transparent EEG Analysis: Leveraging Autoencoders, Bi-LSTMs, and SHAP for Improved Neurodegenerative Diseases Detection.

Autoři: Mouazen, Badr Bendaouia, Ahmed Bellakhdar, Omaima a další

Zdroj: Sensors (14248220). Sep2025, Vol. 25 Issue 18, p5690. 23p.

Témata: *ALZHEIMER'S disease, *FRONTOTEMPORAL dementia, *LONG short-term memory, *FEATURE extraction, *AUTOENCODERS, *ELECTROENCEPHALOGRAPHY, *NEURODEGENERATION

Anomaly detection in rotating machinery using autoencoders based on bidirectional LSTM and GRU neural networks.

Autoři: Patra, Krishna Chandra Sethi, Rabinarayan Behera, Dhiren Kumar

Zdroj: Turkish Journal of Electrical Engineering & Computer Sciences. 2022, Vol. 30 Issue 4, p1637-1653. 17p.

Témata: *ANOMALY detection (Computer security), *ROTATING machinery, *TIME series analysis, *DEEP learning

Unsupervised Machine Learning Methods for Anomaly Detection in Network Packets.

Autoři: Park, Hyoseong Shin, Dongil Park, Chulgyun a další

Zdroj: Electronics (2079-9292); Jul2025, Vol. 14 Issue 14, p2779, 14p

Témata: ANOMALY detection (Computer security), INTRUSION detection systems (Computer security), TRAFFIC monitoring, AUTOENCODERS, COMPUTER network security, LOSS functions (Statistics), MACHINE learning

Cyberbullying Detection, Prevention, and Analysis on Social Media via Trustable LSTM-Autoencoder Networks over Synthetic Data: The TLA-NET Approach †.

Autoři: Cuzzocrea, Alfredo Akter, Mst Shapna Shahriar, Hossain a další

Zdroj: Future Internet. Feb2025, Vol. 17 Issue 2, p84. 21p.

Témata: *Natural language processing, Language models, Generative pre-trained transformers, Long short-term memory, Online social networks

A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data

Autoři: Akter, Mst Shapna Shahriar, Hossain Cuzzocrea, Alfredo

Témata: Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Social and Information Networks, text

URL: http://arxiv.org/abs/2308.09722

Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders.

Autoři: Bi, Jing Guan, Ziyue Yuan, Haitao a další

Zdroj: Expert Systems with Applications. Jun2024, Vol. 244, pN.PAG-N.PAG. 1p.

Témata: *INTRUSION detection systems (Computer security), *OPTIMIZATION algorithms, *PARTICLE swarm optimization, *SHORT-term memory, *LONG short-term memory, *COMPUTER network security

Employing Sequence-to-Sequence Stacked LSTM Autoencoder Architecture to Forecast Indian Weather.

Autoři: Maharatha, Arpita Das, Ratnakar Mishra, Jibitesh a další

Zdroj: Procedia Computer Science. 2024, Vol. 235, p2258-2268. 11p.

Témata: Atmospheric temperature, Meteorological research, Prediction models, Weather forecasting

Geografický termín: Odisha (India)

A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset

Autoři: Raihan, Ahmed Shoyeb Ahmed, Imtiaz

Témata: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2303.09703