Search Results - "LSTM encoder-decoder model"

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

Authors: Paramasivan, Muthukumar

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

Authors: Julien Paris Christine Sinoquet Fadoua Taia-Alaoui et al.

Source: ESANN 2024 proceesdings. :473-478

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

Authors: Taisuke Oshida Tomohiro Murakoshi Libo Zhou et al.

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

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

Authors: Ma, Changxi Gu, Keyan Du, Bo et al.

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

Language Transliteration with LSTM Encoder-Decoder Model

Authors: Pratham Mittal Kartik Garg

Source: 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). :188-192

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

Authors: Ezat Ahmadzadeh Hyunil Kim Ongee Jeong et al.

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

Subject Terms: 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

Access URL: 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

A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction

Authors: Yichen Lei Zhipeng Gui Kunxiaojia Yuan et al.

Source: Neurocomputing

Subject Terms: 0502 economics and business, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Article

Access URL: https://pubmed.ncbi.nlm.nih.gov/32501365
https://dblp.uni-trier.de/db/journals/ijon/ijon403.html#LiGZPTYSWGL20
https://europepmc.org/article/PMC/PMC7252178
https://www.sciencedirect.com/science/article/pii/S0925231220304677
https://doi.org/10.1016/j.neucom.2020.03.080
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252178

Wind turbine frequent principal fault detection based on a self-attentive LSTM encoder-decoder model

Authors: Li Ning Na Jiang

Source: 2020 39th Chinese Control Conference (CCC). :4171-4176

Subject Terms: 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Access URL: https://ieeexplore.ieee.org/document/9188717/

Automatic Text Simplification Using LSTM Encoder Decoder Model

Authors: Om Prakash Jena Alok Ranjan Tripathy Sudhansu Sekhar Patra et al.

Source: Lecture Notes in Networks and Systems ISBN: 9789811648069

Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model

Authors: Lu Liu Xi Zhao Xuri Huang

Source: Int J Mol Sci

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Lung Neoplasms, Carcinoma, Non-Small-Cell Lung, Proto-Oncogene Proteins c-ret, Humans, Molecular Dynamics Simulation, Protein Kinase Inhibitors, Article, 3. Good health

Access URL: https://pubmed.ncbi.nlm.nih.gov/38397034

LSTM Encoder-Decoder Model for Short-Term Power Demand Prediction of Vehicles in Urban Driving Environment

Authors: Xing, Tongdi Zhang, Jiangyan Zhang, Tao

Source: 2025 SICE Festival with Annual Conference (SICE FES) ; page 1473-1478

Availability: https://doi.org/10.23919/sicefes67750.2025.11236655
http://xplorestaging.ieee.org/ielx8/11236527/11236509/11236655.pdf?arnumber=11236655

An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification

Authors: Wang, Tong Chen, Ping Amaral, Kevin et al.

Index Terms: Computer Science - Computation and Language, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1609.03663

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

Authors: Oshida, Taisuke Murakoshi, Tomohiro Zhou, Libo et al.

Source: International Journal of Advanced Manufacturing Technology; Jul2023, Vol. 127 Issue 1/2, p263-278, 16p, 4 Color Photographs, 5 Diagrams, 5 Charts, 7 Graphs

Subject Terms: ACOUSTIC emission, SYSTEM downtime, FEATURE extraction, INCONEL, CUTTING tools, VIDEO codecs, DEEP learning

Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model.

Authors: Liu, Lu Zhao, Xi Huang, Xuri

Source: International Journal of Molecular Sciences; Feb2024, Vol. 25 Issue 4, p2357, 20p

Subject Terms: NON-small-cell lung carcinoma, MOLECULAR dynamics, EPHRIN receptors, BINDING energy, DRUG design, CELL communication, TISSUE scaffolds

Vehicle Trajectory Prediction with Lane Stream Attention-Based LSTMs and Road Geometry Linearization

Authors: Dongyeon Yu Honggyu Lee Taehoon Kim et al.

Source: Sensors, Vol 21, Iss 8152, p 8152 (2021)

Subject Terms: trajectory prediction, LSTM encoder–decoder model, attention mechanism, road geometry, autonomous driving, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/21/23/8152; https://doaj.org/toc/1424-8220; https://doaj.org/article/2d5cd63e106247d7a283c90b49c2a3b3

Availability: https://doi.org/10.3390/s21238152
https://doaj.org/article/2d5cd63e106247d7a283c90b49c2a3b3

New Study Findings from Jilin University Illuminate Research in Molecular Science (Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder-Decoder Model).

Source: Cancer Weekly. 3/11/2024, p888-888. 1p.

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

Authors: Ruixiang Liu Hui Li Muk Chen Ong et al.

Source: Journal of Offshore Mechanics & Arctic Engineering. Apr2025, Vol. 147 Issue 2, p1-8. 8p.

Subject Terms: *LONG short-term memory, *DATA distribution, *BENDING moment, *FLUID-structure interaction, *OCEAN waves

Advanced Cybersecurity Framework for LEO Aerospace: Integrating Quantum Cryptography, Artificial Intelligence Anomaly Detection, and Blockchain Technology.

Authors: Bakyt, Makhabbat La Spada, Luigi Zeeshan, Nida et al.

Source: Journal of Robotics & Control (JRC); 2025, Vol. 6 Issue 2, p695-714, 20p

Subject Terms: QUANTUM cryptography, ARTIFICIAL intelligence, ANOMALY detection (Computer security), AEROSPACE engineering, DATA integrity, BLOCKCHAINS, INTERNET security

CO2 Sensor: Outlier Detection, Calibration and Prediction

Authors: Li, Jike

Index Terms: CO2 Outlier Detction, Sensor Calibration, Deep Learning, Long Short-Term Memory (LSTM), Deep Calibration Method (DeepCM), CO2Detektion av avvikelser, Sensor Kalibrering, Djupinlärning, Djup Kalibreringsmetod (DeepCM), Electrical Engineering, Electronic Engineering, Information Engineering, Elektroteknik och elektronik, Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-361068
TRITA-EECS-EX ; 2024:941

Deep learning models for forecasting sour gas generation in a petroleum refinery.

Authors: Dharmalingam, Balakrishnan Arul Jesu, Gnanaprakasam Marimuthu, Thirumarimurugan

Source: Canadian Journal of Chemical Engineering; Aug2025, Vol. 103 Issue 8, p3786-3803, 18p

Subject Terms: CONVOLUTIONAL neural networks, NATURAL gas, RECURRENT neural networks, DEEP learning, PETROLEUM refineries, NITROGEN oxides