Suchergebnisse - "Encoder-Decoder architecture"

ST-3DView: Multi-Scale Contrast-Enhanced 3D Point Cloud Reconstruction of Single-View Objects From Video Scene Transition

Autoren: Dipanita Chakraborty Werapon Chiracharit Kosin Chamnongthai

Quelle: IEEE Access, Vol 13, Pp 69596-69618 (2025)

Schlagwörter: 3D neural network, 3D reconstruction, object segmentation, Electrical engineering. Electronics. Nuclear engineering, scene transition detection, encoder-decoder architecture, point cloud, TK1-9971

Zugangs-URL: https://doaj.org/article/9fc22eed249e49a7aa1ba7cd65bced3f

Optical Chemical Structure Recognition Based on Multi-order Gated Aggregation Network

Autoren: LIN Fan, LI Jianhua

Quelle: Jisuanji gongcheng, Vol 51, Iss 8, Pp 364-372 (2025)

Schlagwörter: optical chemical structure recognition (ocsr), encoder-decoder architecture, deep learning, smiles notation, multi-order gated aggregation network(moganet), Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/jsjgc-51-8-364.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/ac24a0abc25c4d05abe843b605028679

Enhancing SPARQL query generation for question answering with a hybrid encoder–decoder and cross-attention model

Autoren: Yi-Hui Chen Eric Jui-Lin Lu Kwan-Ho Cheng

Quelle: Web Semantics, Vol 87, Iss , Pp 100869- (2025)

Schlagwörter: Neural Machine Translation (NMT), Text-to-SPARQL, Encoder–decoder architecture, Cross attention mechanism, Information resources (General), ZA3040-5185, Management information systems, T58.6-58.62

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1570826825000101; https://doaj.org/toc/1570-8268

Zugangs-URL: https://doaj.org/article/88a73e232d0c440c835a7cb3d2096262

CWRepViT-Net: An encoder-decoder deep learning framework with RepViT blocks for crop weed semantic segmentation in soybean fields through their life journey

Autoren: Masoomeh Gomroki Dilshan Benaragama Christopher James Henry et al.

Quelle: Smart Agricultural Technology, Vol 12, Iss , Pp 101472- (2025)

Schlagwörter: Crop and weed semantic segmentation, Soybean, Encoder-decoder architecture, RepViT, Precision agriculture, Agriculture (General), S1-972, Agricultural industries, HD9000-9495

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2772375525007038; https://doaj.org/toc/2772-3755

Zugangs-URL: https://doaj.org/article/65fcf468bd8a474588d2a70f2631dc70

Short-term load forecasting by a hybrid attention scheme: Multi-feature attention and context awareness

Autoren: Fang Su Hao Tang Shengchun Yang et al.

Quelle: International Journal of Electrical Power & Energy Systems, Vol 172, Iss , Pp 111065- (2025)

Schlagwörter: Context awareness, Encoder–decoder architecture, Multi-feature attention, Short-term load forecasting, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0142061525006131; https://doaj.org/toc/0142-0615

Zugangs-URL: https://doaj.org/article/f8204336f2d846928d555efa4b3bcf75

Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling

Autoren: Dinesh Kumar Murugan Rajkumar Joseph Nithyanandan Kanagaraj

Quelle: Advanced Photonics Research, Vol 6, Iss 11, Pp n/a-n/a (2025)

Schlagwörter: deep learning, encoder–decoder architecture, nonlinear pulse evolution, optical fibers, supercontinuum generation, transformer neural networks, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2699-9293

Zugangs-URL: https://doaj.org/article/22b4cb514d8b494b809885762237bae3

Analysis of the effectiveness of two different loss functions in training a neural network in lung image reconstruction using impedance tomography

Autoren: Malgorzata Lalak-Dybała Barbara Stefaniak Paweł Olszewski

Quelle: Journal of Modern Science, Vol 57, Iss 3, Pp 594-608 (2024)

Schlagwörter: 0301 basic medicine, neural network with encoder-decoder architecture, 03 medical and health sciences, resnet, 0202 electrical engineering, electronic engineering, information engineering, convolutional neural network, Social Sciences, 02 engineering and technology, lung reconstruction, electrical impedance tomography

Zugangs-URL: https://doaj.org/article/080fe2c0e5ff4f89b9924bad2ae2f2e4

MPOCSR: optical chemical structure recognition based on multi-path Vision Transformer

Autoren: Fan Lin Jianhua Li

Quelle: Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7553-7563 (2024)

Schlagwörter: 0301 basic medicine, 03 medical and health sciences, Optical chemical structure recognition, Multi-path Vision Transformer, Encoder–decoder architecture, Electronic computers. Computer science, Deep learning, QA75.5-76.95, Information technology, T58.5-58.64, 01 natural sciences, 0104 chemical sciences

Zugangs-URL: https://doaj.org/article/22d13e77b8da4cedb58e336ff95e3a3f

TST: Tree Structured Transformer for Handwritten Mathematical Expression Recognition

Autoren: Xie, Yejing Mouchère, Harold Image Perception Interaction (LS2N - équipe IPI) et al.

Weitere Verfasser: Xie, Yejing Mouchère, Harold Image Perception Interaction (LS2N - équipe IPI) et al.

Quelle: ICDAR 2025 ; https://hal.science/hal-05154311 ; ICDAR 2025, Sep 2025, Wuhan, China

Schlagwörter: Handwritten Mathematical Expression Recognition Tree Transformer Handwriting Recognition Encoder-Decoder Architecture, Handwritten Mathematical Expression Recognition, Tree Transformer, Handwriting Recognition, Encoder-Decoder Architecture, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Geographisches Schlagwort: Wuhan, China

Verfügbarkeit: https://hal.science/hal-05154311
https://hal.science/hal-05154311v1/document
https://hal.science/hal-05154311v1/file/43.pdf

Research on prediction of nanocrystalline alloy hysteresis properties based on long short-term memory network

Autoren: Hailin Li Bo Zhang Yongpeng Shen et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-11 (2025)

Schlagwörter: Magnetic hysteresis characteristic, Data-driven, Long short-term memory network, Encoder–decoder architecture, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/43593bc1d62f4347a082fd4de88d368c

HMSA-Net: A Hierarchical Multi-Scale Attention Network for Brain Tumor Segmentation From Multi-Modal MRI

Autoren: Gayathri Ramasamy Tripty Singh Xiaohui Yuan et al.

Quelle: IEEE Access, Vol 13, Pp 167672-167683 (2025)

Schlagwörter: Attention mechanisms, brain tumor segmentation, deep learning, encoder–decoder architecture, hierarchical multi-scale attention, magnetic resonance imaging (MRI), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11151976/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/8d61bb121b47416c91d5dfc254e5fa4f

Hybrid Supply Chain Model for Wheat Market

Autoren: Yulia Otmakhova Dmitry Devyatkin He Zhou

Quelle: Systems, Vol 13, Iss 11, p 1026 (2025)

Schlagwörter: wheat supply chain, wheat trade forecasting, graph transformers, recurrent networks, encoder-decoder architecture, strategic decision making, Systems engineering, TA168, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2079-8954/13/11/1026; https://doaj.org/toc/2079-8954

Zugangs-URL: https://doaj.org/article/3f1e899d298a4d03b3c072597bcf0cdf

A comparative study of LSTM-ED architectures in forecasting day-ahead solar photovoltaic energy using Weather Data

Autoren: Ekinci, Ekin Ekinci, E Enstitüler, Lisansüstü Eğitim Enstitüsü, Bilgisayar Mühendisliği Ana Bilim Dalı

Weitere Verfasser: Ekinci, Ekin Ekinci, E Enstitüler, Lisansüstü Eğitim Enstitüsü, Bilgisayar Mühendisliği Ana Bilim Dalı

Quelle: Scopus
Web of Science

Schlagwörter: 13. Climate action, Solar photovoltaic energy, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Time-series, Encoder-decoder architecture, 02 engineering and technology, Foecasting, 7. Clean energy

Zugangs-URL: https://aperta.ulakbim.gov.tr/record/278415

An Improved VGG-19 Network Induced Enhanced Feature Pooling for Precise Moving Object Detection in Complex Video Scenes

Autoren: Prabodh Kumar Sahoo Manoj Kumar Panda Upasana Panigrahi et al.

Quelle: IEEE Access, Vol 12, Pp 45847-45864 (2024)

Schlagwörter: TK5101-6720 Telecommunication. Including telegraphy, 02 engineering and technology, television, Deep neural network, transfer learning, TK1-9971, radio, feature pooling framework, 0202 electrical engineering, electronic engineering, information engineering, telephone, Electrical engineering. Electronics. Nuclear engineering, encoder-decoder architecture, radar, background subtraction

Dateibeschreibung: text

Zugangs-URL: https://doaj.org/article/95ca06ae62764f5d99334e1e5a1db83f

Semantic Scene Object-Camera Motion Recognition for Scene Transition Detection Using Dense Spatial Frame Segments and Temporal Trajectory Analysis

Autoren: Dipanita Chakraborty Werapon Chiracharit Kosin Chamnongthai

Quelle: IEEE Access, Vol 12, Pp 21673-21697 (2024)

Schlagwörter: frame segmentation, motion pattern, shot boundary detection, scene change detection, 0202 electrical engineering, electronic engineering, information engineering, object and camera motion recognition, Encoder-decoder architecture, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Zugangs-URL: https://doaj.org/article/b131b119d9334c5998263e4233633838

Deep Learning With Noisy Labels for Spatiotemporal Drought Detection

Autoren: Cortés-Andrés, Jordi Fernández-Torres, Miguel-Ángel Camps-Valls, Gustau et al.

Weitere Verfasser: Cortés-Andrés, Jordi Fernández-Torres, Miguel-Ángel Camps-Valls, Gustau et al.

Quelle: e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid
Universidad Carlos III de Madrid (UC3M)
IEEE Transactions on Geoscience and Remote Sensing

Schlagwörter: Informática, Noise measurement, Drought detection, Data models, Biological system modeling, Convolutional neural networks (CNNS), Droughts, Predictive models, Europe, Label correction (LC), Noisy labels (NLs), Medio Ambiente, Solid modeling, Training, Three-dimensional displays, Spatiotemporal data, Encoder-decoder architecture, Noise, Hydro-climatological data

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/10016/46966

Cognisynth: A Study of Multimodal Capabilities in Translation and Image Generation

Autoren: K U, Sreerag orcid:0000-0002-5970- Joseph, Binumon

Schlagwörter: Transformer neural networks, TNN, translation, stable diffusion, text-to-image generation, image-to-image generation, encoder-decoder architecture, diffusion models, UNET, DDPM, CLIP

Relation: https://zenodo.org/communities/amaljyothi/; https://zenodo.org/records/15581875; oai:zenodo.org:15581875; https://doi.org/10.5281/zenodo.15581875

Verfügbarkeit: https://doi.org/10.5281/zenodo.15581875
https://zenodo.org/records/15581875

A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR

Autoren: Mahmoud Abdallah Xiaoli Ding Samaa Younis et al.

Quelle: Science of Remote Sensing, Vol 11, Iss , Pp 100206- (2025)

Schlagwörter: MT-InSAR, Deformation retrieval, Lightweight, 3D encoder-decoder architecture, Separable CNN, Physical geography, GB3-5030, Science

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666017225000124; https://doaj.org/toc/2666-0172

Zugangs-URL: https://doaj.org/article/7ce5e628f5fa40d1a5f2babbb8155481

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

Autoren: Tien Thanh Thach

Quelle: Entropy ; Volume 27 ; Issue 1 ; Pages: 82

Schlagwörter: recurrent neural networks, long short-term memory, gated recurrent units, encoder–decoder architecture, attention mechanism, Bayesian optimization

Dateibeschreibung: application/pdf

Relation: Statistical Physics; https://dx.doi.org/10.3390/e27010082

Verfügbarkeit: https://doi.org/10.3390/e27010082

Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation

Autoren: Deb Kanti Barua Mithun Halder Shayanta Shopnil et al.

Quelle: Applied Sciences ; Volume 15 ; Issue 2 ; Pages: 745

Schlagwörter: human trajectory, autonomous vehicle, encoder–decoder architecture, deep learning, inD dataset

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: Transportation and Future Mobility; https://dx.doi.org/10.3390/app15020745

Verfügbarkeit: https://doi.org/10.3390/app15020745