Search Results - Short sequence encoder–decoder framework

Efficient time-domain speech separation using short encoded sequence network

Authors: Debang Liu Tianqi Zhang Mads Græsbøll Christensen et al.

Source: Liu, D, Zhang, T, Christensen, M G, Ma, B & Deng, P 2025, 'Efficient time-domain speech separation using short encoded sequence network', Speech Communication, vol. 166, 103150. https://doi.org/10.1016/j.specom.2024.103150

Subject Terms: Computational complexity, Short sequence encoder–decoder framework, Multi-temporal resolution Transformer, Speech separation

Access URL: http://www.scopus.com/inward/record.url?scp=85211171172&partnerID=8YFLogxK
https://doi.org/10.1016/j.specom.2024.103150
https://vbn.aau.dk/da/publications/c8112047-4149-46d3-a4c7-c60c94965fca

Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting

Authors: I-Feng Kao Yanlai Zhou Li-Chiu Chang et al.

Source: Journal of Hydrology. 583:124631

Subject Terms: Flood forecastEncoder-Decoder (ED) model, Recurrent neural network (RNN), Long Short-Term Memory (LSTM), Sequence-to-sequence, Flood forecast, Encoder-Decoder (ED) model, 13. Climate action, 0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology

File Description: 111 bytes; text/html

Access URL: https://www.duo.uio.no/bitstream/10852/85301/1/HYDROL33849_R1.pdf
https://www.sciencedirect.com/science/article/pii/S0022169420300913
https://www.duo.uio.no/handle/10852/85301
https://ui.adsabs.harvard.edu/abs/2020JHyd..58324631K/abstract
https://pubag.nal.usda.gov/catalog/6829461
http://hdl.handle.net/10852/85301
https://doi.org/10.1016/j.jhydrol.2020.124631

A comprehensive construction of deep neural network‐based encoder–decoder framework for automatic image captioning systems

Authors: Md Mijanur Rahman Ashik Uzzaman Sadia Islam Sami et al.

Source: IET Image Processing, Vol 18, Iss 14, Pp 4778-4798 (2024)

Subject Terms: Pre‐trained VGG‐19 Model, QA76.75-76.765, 0209 industrial biotechnology, Deep Learning, Image Feature Extractor, Photography, 0202 electrical engineering, electronic engineering, information engineering, Image Captioning, Computer software, 02 engineering and technology, LSTM Decoder, TR1-1050, CNN Encoder

Access URL: https://doaj.org/article/001e687ba77043448ca1cedb1259dc7d

Simulation-Based Framework for Predicting Construction Workforce Demand: A Comparative Analysis with Multivariate LSTM-Based Seq2Seq Model.

Authors: Sun, Jingran Murphy, Michael R. Hazlett, Darren G. et al.

Source: Journal of Construction Engineering & Management. Jun2025, Vol. 151 Issue 6, p1-14. 14p.

Subject Terms: *LABOR demand, *SUPPLY & demand, LONG short-term memory, STANDARD metropolitan statistical areas, STATISTICAL models

Long sequence temporal knowledge tracing for student performance prediction via integrating LSTM and informer.

Authors: Gao, Ailian Liu, Zenglei

Source: PLoS ONE; 9/9/2025, Vol. 20 Issue 9, p1-26, 26p

Subject Terms: LONG short-term memory, MACHINE learning, EDUCATIONAL evaluation, STATISTICAL models, TEMPORAL databases, FORECASTING, ACADEMIC achievement

Accurate wind speed prediction using a Variational AutoEncoder integrated with a sequence-to-sequence-bidirectional long short-term memory-encoder-decoder architecture.

Authors: Mehmood, Faisal Yuan, Chulong Gong, Jingliang et al.

Source: Engineering Applications of Artificial Intelligence. Jan2026:Part 3, Vol. 163, pN.PAG-N.PAG. 1p.

Subject Terms: *WIND forecasting, *DEEP learning, *NONLINEAR theories, *LATENT variables, *METADATA, *DIMENSIONAL reduction algorithms, *SUSTAINABILITY, *ENERGY infrastructure

Geographic Terms: BEIJING (China)

Global to local: a novel encoder-decoder framework for urban real-time rainfall-runoff forecasting.

Authors: Tian, Yuan Fu, Wenlong Dong, Yajing et al.

Source: Earth Science Informatics. Jun2025, Vol. 18 Issue 2, p1-22. 22p.

An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling

Authors: Hong, Jiazhen Mackellar, Geoffrey Ghane, Soheila

Subject Terms: Machine Learning, Signal Processing (eess.SP), FOS: Computer and information sciences, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2502.17873

A deep learning framework for virtual continuous glucose monitoring and glucose prediction based on life-log data.

Authors: Lim, Min Hyuk Chae, Hyocheol Yoon, Jeongwon et al.

Source: Scientific Reports. 5/10/2025, Vol. 15 Issue 1, p1-15. 15p.

Subject Terms: *CONTINUOUS glucose monitoring, *LONG short-term memory, *STANDARD deviations, *FOOD diaries, *FOOD consumption, *DEEP learning

Dynamic Convolution-based Encoder-Decoder Framework for Image Captioning in Hindi

Authors: Santosh Kumar Mishra Sushant Sinha Sriparna Saha et al.

Source: ACM Transactions on Asian and Low-Resource Language Information Processing. 22:1-18

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism.

Authors: Thach, Tien Thanh¹ (AUTHOR) thachthanhtien@tdtu.edu.vn

Source: Entropy. Jan2025, Vol. 27 Issue 1, p82. 21p.

Subject Terms: *LONG short-term memory, *STOCK price indexes, *INVESTORS, *FINANCIAL analysts, *FORECASTING

A Hybrid Framework for Multivariate Time Series Forecasting of Daily Urban Water Demand Using Attention-Based Convolutional Neural Network and Long Short-Term Memory Network

Authors: Shengwen Zhou Shunsheng Guo Baigang Du et al.

Source: Sustainability, Vol 14, Iss 11086, p 11086 (2022)

Subject Terms: water demand forecasting, multivariate time series, convolutional neural network, long short-term memory, attention mechanism, encoder-decoder network, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350

Relation: https://www.mdpi.com/2071-1050/14/17/11086; https://doaj.org/toc/2071-1050; https://doaj.org/article/4c8e2502513d4d2687d6effdc1ac253c

Availability: https://doi.org/10.3390/su141711086
https://doaj.org/article/4c8e2502513d4d2687d6effdc1ac253c

A novel framework for significant wave height prediction based on Adaptive Feature Extraction Time-Frequency Network.

Authors: Zhang, Jianxin Jiang, Lianzi Han, Xinyu et al.

Source: Energy. Aug2025, Vol. 329, pN.PAG-N.PAG. 1p.

Subject Terms: *MACHINE learning, *LONG short-term memory, *WAVELET transforms, *WIND speed, *WAVE energy

An extreme-short-term predicted model of the learning-based approach for multi-step USV maneuvering motions.

Authors: Luo, Haoze Ge, Junfeng Qin, Shenglei et al.

Source: Ocean Engineering. Nov2025:Part 3, Vol. 340, pN.PAG-N.PAG. 1p.

Subject Terms: *DEEP learning, *LONG short-term memory, *FORECASTING, *MIMO systems, *ARTIFICIAL neural networks, *NEURAL computers

Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting

Authors: Kao, I-Feng Zhou, Yanlai Chang, Li-Chiu et al.

Source: Kao, I-Feng Zhou, Yanlai Chang, Li-Chiu Chang, Fi-John . Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting. Jo
Jo

Availability: http://hdl.handle.net/10852/85301
https://www.duo.uio.no/bitstream/handle/10852/85301/1/HYDROL33849_R1.pdf

Retrieval Augmented Encoder-Decoder with Diffusion for Sequential Hashtag Recommendation in Disaster Events

Authors: Shubhi Bansal Seerla Parimala Nagendra Kumar

Source: Proceedings of the International AAAI Conference on Web and Social Media. 19:206-225

Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network

Authors: Yuqian Fan Yi Li Jifei Zhao et al.

Source: Batteries, Vol 9, Iss 11, p 539 (2023)

Subject Terms: lithium-ion battery, state of health, attention-based encoder–decoder framework, long short-term memory, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Industrial electrochemistry, TP250-261

File Description: electronic resource

Relation: https://www.mdpi.com/2313-0105/9/11/539; https://doaj.org/toc/2313-0105

Access URL: https://doaj.org/article/5e1bc124114348cd8799ef99b5f634c3

Video Salient Object Detection Via Multi-level Spatiotemporal Bidirectional Network Using Multi-scale Transfer Learning.

Authors: Sharma, Gaurav Singh, Maheep Berwal, Krishan

Source: IETE Journal of Research. Nov2024, Vol. 70 Issue 11, p8077-8088. 12p.

Subject Terms: *CONVOLUTIONAL neural networks, *LONG short-term memory, *VIDEOS

An Encoder–Decoder Architecture within a Classical Signal-Processing Framework for Real-Time Barcode Segmentation.

Authors: Gómez-Cárdenes, Óscar Marichal-Hernández, José Gil Son, Jung-Young et al.

Source: Sensors (14248220). Jul2023, Vol. 23 Issue 13, p6109. 33p.

Subject Terms: *DEEP learning, *RADON transforms, *CONVOLUTIONAL neural networks, *AUGMENTED reality, *SCIENTIFIC community, *IMAGE segmentation

Natural Scene Text Recognition Based on Encoder-Decoder Framework

Authors: Ling-Qun Zuo Hong-Mei Sun Qi-Chao Mao et al.

Source: IEEE Access, Vol 7, Pp 62616-62623 (2019)

Subject Terms: encoder-decoder framework, Bi-LSTM, Natural scene text recognition, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, CNN, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08713973.pdf
https://doaj.org/article/4976cc1f6d674a1c8aad7f73101c3804
https://doaj.org/article/4976cc1f6d674a1c8aad7f73101c3804
https://ieeexplore.ieee.org/abstract/document/8713973
https://dblp.uni-trier.de/db/journals/access/access7.html#ZuoSMQJ19