Suchergebnisse - "Encoder-decoder framework"

HET-VQVAE: a novel encoder-decoder framework for irregularly-sampled multivariate time series of patients

Autoren: Zhixuan Zeng Minjie Lin Yang Liu et al.

Quelle: Journal of Big Data, Vol 12, Iss 1, Pp 1-21 (2025)

Schlagwörter: Encoder-decoder framework, Attention mechanism, Time embeddings, Latent states, Irregularly-sampled multivariate time series, Interpolation, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2196-1115

Zugangs-URL: https://doaj.org/article/a60214a654d445a59553f884efa96554

PML-ED: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation

Autoren: Wang, Zhenwu Liu, Fanghan Han, Mengjie et al.

Quelle: Information Sciences. 661

Schlagwörter: Partial multi-label learning, Label correlation, Label disambiguation, Encoder-Decoder framework, Conditional layer normalization

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:du-47973
https://doi.org/10.1016/j.ins.2024.120165

DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images

Autoren: Zhen Wang Nan Xu Zhuhong You et al.

Quelle: GIScience & Remote Sensing, Vol 62, Iss 1 (2025)

Schlagwörter: Diffusion model, state space model (SSM), encoder-decoder framework, remote sensing images, semantic segmentation, Mathematical geography. Cartography, GA1-1776, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1548-1603; https://doaj.org/toc/1943-7226

Zugangs-URL: https://doaj.org/article/634609474f95493986dc8af62c4ae347

Document-Level Event Detection Method Based on Information Aggregation and Data Augmentation

Autoren: TAN Lijun, HU Yanli, CAO Jianwei, TAN Zhen

Quelle: Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 3015-3026 (2024)

Schlagwörter: event detection, information aggregation, data augmentation, encoder-decoder framework, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2312040.pdf; https://doaj.org/toc/1673-9418

Zugangs-URL: https://doaj.org/article/ad60caec67124c9ca2a1935b0d565fe1

A robust electricity price forecasting framework based on heteroscedastic temporal Convolutional Network

Autoren: Wei Shi Yu Feng Wang

Quelle: International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110177- (2024)

Schlagwörter: Electricity price forecasting, Deep learning, Encoder-decoder framework, Feature selection, Maximum Likelihood Estimation, Temporal Convolutional Network, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061524003983; https://doaj.org/toc/0142-0615

Zugangs-URL: https://doaj.org/article/cdba56aca9a345898c323a634542cc2f

Spatial attention guided cGAN for improved salient object detection

Autoren: Gayathri Dhara Ravi Kant Kumar

Quelle: Frontiers in Computer Science, Vol 6 (2024)

Schlagwörter: encoder-decoder framework, salient object detection, Electronic computers. Computer science, 05 social sciences, 0202 electrical engineering, electronic engineering, information engineering, 0501 psychology and cognitive sciences, QA75.5-76.95, 02 engineering and technology, image segmentation, computer vision, context information, Conditional Generative Adversarial Networks (cGANs)

Zugangs-URL: https://doaj.org/article/6e45de33ef1541d78ab66ba2b0e180a9

Efficient time-domain speech separation using short encoded sequence network

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

Quelle: 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

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

Zugangs-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

A Review of Deep Learning-Based Remote Sensing Image Caption: Methods, Models, Comparisons and Future Directions

Autoren: Ke Zhang Peijie Li Jianqiang Wang

Quelle: Remote Sensing, Vol 16, Iss 21, p 4113 (2024)

Schlagwörter: remote sensing, image caption, encoder–decoder framework, attention mechanism, reinforcement learning, auxiliary task, Science

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/21/4113; https://doaj.org/toc/2072-4292

Zugangs-URL: https://doaj.org/article/49299cde34b64a95bf5d971e2860772f

A Reinforcement Learning-based Encoder-Decoder Framework for Learning Stock Trading Rules

Autoren: M. Taghian A. Asadi R. Safabakhsh

Quelle: Journal of Artificial Intelligence and Data Mining, Vol 11, Iss 1, Pp 103-118 (2023)

Schlagwörter: deep reinforcement learning, deep q-learning, single stock trading, portfolio management, encoder-decoder framework, Information technology, T58.5-58.64, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://jad.shahroodut.ac.ir/article_2706_33a46b99cf13b2b36c95852f573901b5.pdf; https://doaj.org/toc/2322-5211; https://doaj.org/toc/2322-4444

Zugangs-URL: https://doaj.org/article/ff45d91b203a4c4cbae1d40611426b4a

Secure Dual Network for Reversible Facial Image Anonymization Through the Latent Space Manipulation

Autoren: Yi-Lun Pan Jun-Cheng Chen Ja-Ling Wu

Quelle: Electronics ; Volume 13 ; Issue 22 ; Pages: 4398

Schlagwörter: anonymization, de-anonymization, dual inferencing, encoder-decoder framework, mutual information

Dateibeschreibung: application/pdf

Relation: https://dx.doi.org/10.3390/electronics13224398

Verfügbarkeit: https://doi.org/10.3390/electronics13224398

Automated audio captioning: an overview of recent progress and new challenges

Autoren: Xinhao Mei Xubo Liu Mark D. Plumbley et al.

Quelle: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2022, Iss 1, Pp 1-18 (2022)

Schlagwörter: Audio captioning, Deep learning, Audio processing, Natural language processing, Encoder-decoder framework, Acoustics. Sound, QC221-246, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1687-4722

Zugangs-URL: https://doaj.org/article/b17088b7f5d6432697235cf3647bb0b8

Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network

Autoren: Zhifei Yang Yan Wu Ming Li et al.

Quelle: International Journal of Applied Earth Observations and Geoinformation, Vol 124, Iss , Pp 103511- (2023)

Schlagwörter: PolSAR image, Unsupervised change detection, Siamese encoder–decoder framework, Graph attention module, Multi-scale context information, Physical geography, GB3-5030, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843223003357; https://doaj.org/toc/1569-8432

Zugangs-URL: https://doaj.org/article/8474e1748e1c40c8990ce3e41aaf6068

AEDmts: An Attention-Based Encoder-Decoder Framework for Multi-Sensory Time Series Analytic

Autoren: Jin Fan Hongkun Wang Yipan Huang et al.

Quelle: IEEE Access, Vol 8, Pp 37406-37415 (2020)

Schlagwörter: Encoder-decoder framework, multi-sensory time series analytic, 0202 electrical engineering, electronic engineering, information engineering, motion prediction, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08981913.pdf
https://doaj.org/article/02a5049ac8a44c3187546ad73461fbc5
https://ieeexplore.ieee.org/document/8981913/
https://dblp.uni-trier.de/db/journals/access/access8.html#FanWHZZ20

Automatic medical report generation based on deep learning:A state of the art survey

Autoren: Liu, Xinyao Xin, Junchang Shen, Qi et al.

Quelle: Liu, X, Xin, J, Shen, Q, Huang, Z & Wang, Z 2025, 'Automatic medical report generation based on deep learning : A state of the art survey', Computerized Medical Imaging and Graphics, vol. 120, 102486. https://doi.org/10.1016/j.compmedimag.2024.102486

Schlagwörter: Automatic medical report generation, Deep learning, Encoder–decoder framework, Medical image, Natural language process, /dk/atira/pure/subjectarea/asjc/3600/3614, name=Radiological and Ultrasound Technology, /dk/atira/pure/subjectarea/asjc/2700/2741, name=Radiology Nuclear Medicine and imaging, /dk/atira/pure/subjectarea/asjc/1700/1707, name=Computer Vision and Pattern Recognition, /dk/atira/pure/subjectarea/asjc/2700/2718, name=Health Informatics, /dk/atira/pure/subjectarea/asjc/1700/1704, name=Computer Graphics and Computer-Aided Design

Relation: info:eu-repo/semantics/altIdentifier/pmid/39787734; info:eu-repo/semantics/altIdentifier/pissn/0895-6111; info:eu-repo/semantics/altIdentifier/eissn/1879-0771

Verfügbarkeit: https://discovery.dundee.ac.uk/en/publications/2f12f1c3-d9b5-4c73-a505-dc33215394de
https://doi.org/10.1016/j.compmedimag.2024.102486

Modeling hierarchical attention interaction between contexts and triple-channel encoding networks for document-grounded dialog generation

Autoren: Yuanyuan Cai Min Zuo Haitao Xiong

Quelle: Frontiers in Physics, Vol 10 (2022)

Schlagwörter: document-grounded conversation generation, hierarchical attention interaction, semantic feature encoding, context-aware, transformer, encoder–decoder framework, Physics, QC1-999

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphy.2022.1019969/full; https://doaj.org/toc/2296-424X

Zugangs-URL: https://doaj.org/article/857f32ce6a1e4a26ab8428049222b7e9

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

Autoren: Yuqian Fan Yi Li Jifei Zhao et al.

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

Schlagwörter: 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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/5e1bc124114348cd8799ef99b5f634c3

Natural Scene Text Recognition Based on Encoder-Decoder Framework

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

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

Schlagwörter: 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

Zugangs-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

Keyphrase Generation Based on Self-Attention Mechanism

Autoren: Wei Zhang Jiqing Yao Yuquan Le et al.

Quelle: Computers, Materials & Continua
Volume 61
Issue 2

Schlagwörter: Keyphrase generation, self-attention mechanism, encoder-decoder framework, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Machine Translation Systems for English Captions to Hindi Language Using Deep Learning

Autoren: Singh Arvinder Bhase Ninad Jain Manav et al.

Quelle: ITM Web of Conferences, Vol 44, p 03004 (2022)

Schlagwörter: image captioning, english language, hindi language, encoder-decoder framework, neural network, machine translation, Information technology, T58.5-58.64

Relation: https://www.itm-conferences.org/articles/itmconf/pdf/2022/04/itmconf_icacc2022_03004.pdf; https://doaj.org/toc/2271-2097; https://doaj.org/article/a5fb1a403acb4a00a7a751622bec6649

Verfügbarkeit: https://doi.org/10.1051/itmconf/20224403004
https://doaj.org/article/a5fb1a403acb4a00a7a751622bec6649

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

Autoren: Xue-Bo Jin Wei-Zhen Zheng Jian-Lei Kong et al.

Quelle: Energies, Vol 14, Iss 1596, p 1596 (2021)

Schlagwörter: electric power load prediction, deep-learning encoder-decoder framework, gated recurrent neural units, temporal attention, Bayesian optimization, Technology

Relation: https://www.mdpi.com/1996-1073/14/6/1596; https://doaj.org/toc/1996-1073; https://doaj.org/article/673e905ebd144313b6744a0bbcced750

Verfügbarkeit: https://doi.org/10.3390/en14061596
https://doaj.org/article/673e905ebd144313b6744a0bbcced750