Výsledky vyhledávání - LSTM encoder-decoder model

Abstractive Text Summarization for Legal Documents Using Optimization-Based Bi-LSTM with Encoder–Decoder Model

Autoři: Deepti Aggarwal Arun Sharma

Zdroj: International Journal of Information Technology & Decision Making. 24:1493-1519

CGM-Based Blood Glucose Prediction Model With LSTM Encoder–Decoder Architecture

Autoři: He Xu Yi Zhang Sixing Liu a další

Zdroj: IEEE Sensors Journal. 25:5824-5839

Condition assessment and predictive maintenance for contact probe using health index and encoder‐decoder LSTM model

Autoři: Shun‐Sun Luk Yanwen Jin Xiaoge Zhang a další

Zdroj: Quality and Reliability Engineering International. 41:154-173

Applying an Encoder-Decoder LSTM Model for Short-Term Photovoltaic Power Forecasting in Subtropical Region

Autoři: Fernando Vasconde de Arruda Marcelo Pinho Almeida Fernando Ramos Martins

Zdroj: 2025 IEEE 53rd Photovoltaic Specialists Conference (PVSC). :0755-0757

Assessing the Impact of Rainfall Nowcasts on an Encoder-Decoder LSTM Model for Short-Term Flash Flood Prediction

Autoři: Rim Mhedhbi Marina G. Erechtchoukova

Zdroj: Water Resources Management. 39:1623-1638

Predicting Electric Vehicle Charging Demand using a CNN Encoder-Decoder LSTM Model

Autoři: Pardis Asghari Alireza Zakariazadeh Andrew Keane a další

Zdroj: 2024 International Conference on Smart Energy Systems and Technologies (SEST). :1-6

ANUVAAD ARJUNA: A HYBRID AI PLATFORM FOR REAL-TIME ENGLISH-TO-HINDI TRANSLATION WITH A FINE-TUNED TRANSFORMER AND AN LSTM ENCODER-DECODER MODEL

Autoři: Paramasivan, Muthukumar

Vehicle lane change intention recognition based on a mixed teacher forcing CNN-GCN-LSTM encoder-decoder model.

Autoři: Ma, Changxi Gu, Keyan Du, Bo a další

Zdroj: Transportation Letters. Dec2025, p1-16. 16p. 14 Illustrations.

Encoder-decoder models in sequence-to-sequence learning: A survey of RNN and LSTM approaches

Autoři: Yunong Zhang

Zdroj: Applied and Computational Engineering. 22:218-226

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Autoři: Mohamadreza Akbari Pour Mohamad Sadeq Karimi Amir Hossein Mazloumi

Zdroj: IEEE Access, Vol 13, Pp 203705-203722 (2025)

Témata: Long short term memory, multi time window, remaining useful life prediction, temporal convolutional networks, temporal fusion transformers, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11251223/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/ec2501b9cbd64d36b798ddd47bd575c2

LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables

Autoři: Julien Paris Christine Sinoquet Fadoua Taia-Alaoui a další

Zdroj: ESANN 2024 proceesdings. :473-478

Mutation prediction and phylogenetic analysis of SARS-CoV2 protein sequences using LSTM based encoder-decoder model

Autoři: Sweeti Sah B. Surendiran R. Dhanalakshmi a další

Zdroj: Arab Journal of Basic and Applied Sciences, Vol 30, Iss 1, Pp 103-121 (2023)

Témata: Seq2Seq, Science, SARS-CoV2, prediction, genomic sequence, LSTM, protein, 3. Good health

Přístupová URL adresa: https://doaj.org/article/9dc9537a8b5e486cb89d84f678e7aa07

Prediction for Global Whipping Responses of a Large Cruise Ship Under Unprecedented Sea Conditions Using an LSTM-Based Encoder–Decoder Model

Autoři: Ruixiang Liu Hui Li Muk Chen Ong a další

Zdroj: Journal of Offshore Mechanics and Arctic Engineering. 147

Témata: 0103 physical sciences, 02 engineering and technology, 01 natural sciences, 0201 civil engineering

A Novel Dynamic Attack on Classical Ciphers Using an Attention-Based LSTM Encoder-Decoder Model

Autoři: Ezat Ahmadzadeh Hyunil Kim Ongee Jeong a další

Zdroj: IEEE Access, Vol 9, Pp 60960-60970 (2021)

Témata: Performance comparison, Decoding, Security of data, Data-communication, Signal encoding, 02 engineering and technology, State-of-the-art methods, Sequence lengths, Cryptanalysis, Long short-term memory, 0202 electrical engineering, electronic engineering, information engineering, Complexity levels, Computer architecture, Attention mechanisms, Ciphers, Character level, Logic gates, Deep learning, Sequential processing, TK1-9971, Recurrent neural networks, attention-based LSTM encoder-decoder, Cryptography, Feature extraction, recurrent neural network, Electrical engineering. Electronics. Nuclear engineering, classical ciphers

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/9312710/09408655.pdf
https://doaj.org/article/f2569061de514b439bf47379381ae840
https://ieeexplore.ieee.org/abstract/document/9408655
https://doi.org/10.1109/ACCESS.2021.3074268
https://dblp.uni-trier.de/db/journals/access/access9.html#AhmadzadehKJM21

Ship behavior prediction and anomaly detection using LSTM-DCross model based on AIS and remote sensing data

Autoři: Wanrong Wu Dongmei Yan Jun Yan a další

Zdroj: International Journal of Digital Earth, Vol 18, Iss 1 (2025)

Témata: AIS data, Ship trajectory prediction, Attention mechanism, Mathematical geography. Cartography, GA1-1776, Long short-term memory network, Encoder-decoder model

Přístupová URL adresa: https://doaj.org/article/56dad4c4748a470aa788fd26e6f242f1

Development and implementation of real-time anomaly detection on tool wear based on stacked LSTM encoder-decoder model

Autoři: Taisuke Oshida Tomohiro Murakoshi Libo Zhou a další

Zdroj: The International Journal of Advanced Manufacturing Technology. 127:263-278

Prediction of Global Whipping Responses on a Large Cruise Ship Under Unknown Sea States Using an LSTM Based Encoder-Decoder Model

Autoři: Ruixiang Liu Hui Li Muk Chen Ong a další

Zdroj: Volume 6: Polar and Arctic Sciences and Technology; CFD, FSI, and AI.

Témata: 14. Life underwater

Day-ahead forecasting of residential electric power consumption for energy management using Long Short-Term Memory encoder–decoder model

Autoři: La Tona, G. Luna, M. Di Piazza, M. C.

Zdroj: Mathematics and Computers in Simulation. 224:63-75

Témata: Forecasting, Residential electrical consumption, Energy management, LSTM

Popis souboru: application/pdf

Myanmar-Wa Machine Translation using LSTM-based Encoder-Decoder Model

Autoři: Florance Yune Khin Mar Soe

Zdroj: 2023 IEEE Conference on Computer Applications (ICCA). :1-5

Quantum Mayfly Optimization with Encoder-Decoder Driven LSTM Networks for Malware Detection and Classification Model

Autoři: Omar A. Alzubi Jafar A. Alzubi Tareq Mahmod Alzubi a další

Zdroj: Mobile Networks and Applications. 28:795-807

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology