Suchergebnisse - "Encoder-decoder structure"

DRL-ED-TSPP: A Deep Reinforcement Learning Model With Encoder-Decoder for Solving the Traveling Salesman Problem With Profits

Autoren: Bin Hu Liying Zhao

Quelle: IEEE Access, Vol 13, Pp 111372-111391 (2025)

Schlagwörter: TSPP, travel planning, deep learning, encoder-decoder structure, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Zugangs-URL: https://doaj.org/article/427a1d552ef84104b1dd29915747f528

Learning Feature Embedding Refiner for Solving Vehicle Routing Problems

Autoren: Jingwen Li Yining Ma Zhiguang Cao et al.

Weitere Verfasser: Jingwen Li Yining Ma Zhiguang Cao et al.

Quelle: IEEE Transactions on Neural Networks and Learning Systems. 35:15279-15291

Schlagwörter: reinforcement learning, Vehicle routing problems, Encoder–decoder Structure, OS and Networks, Encoder–decoder structure, neural combinatorial optimization, Computer science and engineering [Engineering], Neural Combinatorial Optimization, encoder-decoder structure, vehicle routing problems (VRPs)

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37352084
https://research.tue.nl/en/publications/944c1075-f9f9-4c33-ad21-474d0e791bcf
https://doi.org/10.1109/TNNLS.2023.3285077
https://hdl.handle.net/10356/171804

EFU Net: Edge Information Fused 3D Unet for Brain Tumor Segmentation

Autoren: Wang, Y. Tian, H. Liu, M.

Quelle: Radioengineering, Vol 33, Iss 3, Pp 387-396 (2024)

Schlagwörter: hybrid loss function, encoder decoder structure, deep learning, edge attention mechanism, Deep learning, Electrical engineering. Electronics. Nuclear engineering, brain tumor segmentation, TK1-9971

Dateibeschreibung: text; application/pdf

Zugangs-URL: https://doaj.org/article/8d9353f371a84403957c4824df3fb3e7
https://hdl.handle.net/11012/250713

A Crowd Counting and Localization Network Based on Adaptive Feature Fusion and Multi-Scale Global Attention Up Sampling

Autoren: Min Wang Li Huang Jingke Yan et al.

Quelle: IEEE Access, Vol 12, Pp 12919-12939 (2024)

Schlagwörter: global attention, adaptive feature fusion, Label map, multi-scale, upsampling, 0202 electrical engineering, electronic engineering, information engineering, 0401 agriculture, forestry, and fisheries, encoder-decoder structure, Electrical engineering. Electronics. Nuclear engineering, 04 agricultural and veterinary sciences, 02 engineering and technology, TK1-9971

Zugangs-URL: https://doaj.org/article/73ce4e74c5b04daca73bde32c0c8842d

A Segmentation Network with Two Distinct Attention Modules for the Segmentation of Multiple Renal Structures in Ultrasound Images

Autoren: Youhe Zuo Jing Li Jing Tian

Quelle: Diagnostics, Vol 15, Iss 15, p 1978 (2025)

Schlagwörter: renal structures, ultrasound images, encoder–decoder structure, attention mechanisms, multi-head self-attention mechanism, Medicine (General), R5-920

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2075-4418/15/15/1978; https://doaj.org/toc/2075-4418

Zugangs-URL: https://doaj.org/article/7cf122b9189a4f90b6bcf916485f8ca3

EFU Net: Edge Information Fused 3D Unet for Brain Tumor Segmentation

Autoren: Y. Wang H. Tian M. Liu

Quelle: Radioengineering, Vol 33, Iss 3, Pp 387-396 (2024)

Schlagwörter: deep learning, brain tumor segmentation, encoder decoder structure, edge attention mechanism, hybrid loss function, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://www.radioeng.cz/fulltexts/2024/24_03_0387_0396.pdf; https://doaj.org/toc/1210-2512

Zugangs-URL: https://doaj.org/article/8d9353f371a84403957c4824df3fb3e7

Empowering Regional Rainfall-Runoff Modeling Through Encoder–Decoder Based on Convolutional Neural Networks

Autoren: Wei Jiang Xupeng Dang Rui Zhang

Quelle: Water ; Volume 17 ; Issue 3 ; Pages: 339

Schlagwörter: regional rainfall-runoff modeling, convolutional neural networks, encoder-decoder structure, two-dimensional variation

Geographisches Schlagwort: agris

Dateibeschreibung: application/pdf

Relation: https://dx.doi.org/10.3390/w17030339

Verfügbarkeit: https://doi.org/10.3390/w17030339

CSANet: Context–Spatial Awareness Network for RGB-T Urban Scene Understanding

Autoren: Ruixiang Li Zhen Wang Jianxin Guo et al.

Quelle: Journal of Imaging, Vol 11, Iss 6, p 188 (2025)

Schlagwörter: RGB-T semantic segmentation, urban scene understanding, multi-modal fusion, encoder–decoder structure, attention mechanism, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2313-433X/11/6/188; https://doaj.org/toc/2313-433X

Zugangs-URL: https://doaj.org/article/d48c30a9dfa742a4b0d2792b515c9130

AI-Enhanced Digital Creativity Design: Content-Style Alignment for Image Stylization

Autoren: Lanting Yu Qiang Zheng

Quelle: IEEE Access, Vol 11, Pp 143964-143979 (2023)

Schlagwörter: Deep learning, VGG, encoder-decoder structure, Electrical engineering. Electronics. Nuclear engineering, stylization, TK1-9971

Zugangs-URL: https://doaj.org/article/6fd926b44a2747f487a8a0ad8f924c78

A&I-ED-TSP: Association and Integration Encoder–Decoder for Traveling Shortest Path Planning

Autoren: Bin Hu Renjun Zhang

Quelle: IEEE Access, Vol 12, Pp 129601-129610 (2024)

Schlagwörter: TSP, encoder–decoder structure, deep learning, travel planning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10552761/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/a45c9beb566d456892386b215b487f5d

PCTMA-Net: Point Cloud Transformer with Morphing Atlas-based Point Generation Network for Dense Point Cloud Completion

Autoren: Jianjie Lin Markus Rickert Alexander Perzylo et al.

Quelle: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :5657-5663

Schlagwörter: Point Cloud Completion, Transformer, Encoder-Decoder Structure, ddc

Dateibeschreibung: application/pdf

Zugangs-URL: https://mediatum.ub.tum.de/1621481

Multi-Intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

Autoren: Wang, Hu Chen, Hao Wu, Qi et al.

Quelle: IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 126-136 (2022)

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, deep reinforcement learning, TA1001-1280, 05 social sciences, multiple intersections, encoder-decoder structure, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Machine Learning (cs.LG), Transportation engineering, Traffic control optimisation, 0502 economics and business, 11. Sustainability, FOS: Electrical engineering, electronic engineering, information engineering, Transportation and communications, HE1-9990

Zugangs-URL: http://arxiv.org/abs/2101.09640
https://doaj.org/article/29beefc343af4350a3693c458051530e
https://arxiv.org/pdf/2101.09640
https://dblp.uni-trier.de/db/journals/corr/corr2101.html#abs-2101-09640
https://arxiv.org/abs/2101.09640

Radar Echo Extrapolation Based on Translator Coding and Decoding Conditional Generation Adversarial Network

Autoren: Xingang Mou Yuan He Wenfeng Li et al.

Quelle: Applied Sciences, Vol 14, Iss 22, p 10550 (2024)

Schlagwörter: precipitation nowcasting, radar echo images, conditional generative adversarial networks, temporal attention unit, translator encoder–decoder structure, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/22/10550; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/c79754686c344917a026dc453fbde046

Automatic segmentation of white matter hyperintensities and correlation analysis for cerebral small vessel disease

Autoren: Bin Xu Xiaofeng Zhang Congyu Tian et al.

Quelle: Front Neurol
Frontiers in Neurology, Vol 14 (2023)

Schlagwörter: deep encoder-decoder structure, Neurology, cerebral small vessel disease, correlation analysis, white matter hyperintensity, Neurology. Diseases of the nervous system, medical 3D segmentation, RC346-429

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37576013
https://doaj.org/article/f72d5d1e3c1744a39b76b408c3d256b6

Design of oral English teaching model based on multi-modal perception of the Internet of Things and improved conventional neural networks

Autoren: Haitao Qin

Quelle: PeerJ Computer Science, Vol 9, p e1503 (2023)

Schlagwörter: Oral English teaching, Multi-modal perception, Encoder-decoder structure, CNN, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://peerj.com/articles/cs-1503.pdf; https://peerj.com/articles/cs-1503/; https://doaj.org/toc/2376-5992

Zugangs-URL: https://doaj.org/article/8640bee7d35844ecafcdc1202e6e8c28

MCSTNet: a memory-contextual spatiotemporal transfer network for prediction of SST sequences and fronts with remote sensing data

Autoren: Ying Ma Wen Liu Ge Chen et al.

Quelle: Frontiers in Marine Science, Vol 10 (2023)

Schlagwörter: 0301 basic medicine, MCSTNet, Science, General. Including nature conservation, geographical distribution, QH1-199.5, 01 natural sciences, 03 medical and health sciences, the encoder-decoder structure, 13. Climate action, 14. Life underwater, the time transfer module, SST sequence and front prediction tasks, the memory-contextual module, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/7b08dd8c0caf49248f4b3ac0e6a1f0d6

Synergistic data fusion of satellite observations and in-situ measurements for hourly PM2.5 estimation based on hierarchical geospatial long short-term memory

Autoren: Yu, X Wong, MS Liu, CH et al.

Weitere Verfasser: Yu, X Wong, MS Liu, CH et al.

Schlagwörter: Encoder-decoder structure, Geospatial autocorrelation, HG-LSTM, PM2.5

Relation: http://hdl.handle.net/10397/99356; 286; 119257; a2219; 47084

Verfügbarkeit: http://hdl.handle.net/10397/99356
https://doi.org/10.1016/j.atmosenv.2022.119257

Speech Perception Improvement Algorithm Based on a Dual-Path Long Short-Term Memory Network

Autoren: Hyeong Il Koh Sungdae Na Myoung Nam Kim

Quelle: Bioengineering, Vol 10, Iss 11, p 1325 (2023)

Schlagwörter: speech enhancement, STFT, LSTM, encoder–decoder structure, dual-path network, spectral extension block, Technology, Biology (General), QH301-705.5

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2306-5354/10/11/1325; https://doaj.org/toc/2306-5354

Zugangs-URL: https://doaj.org/article/29ba1fb2bebd49e4b183fd9e1f8573bd

Improved Instance Segmentation Method Based on Anchor-Free Segmentation Network

Autoren: LIU Teng, LIU Hongzhe, LI Xuewei, XU Cheng

Quelle: Jisuanji gongcheng, Vol 48, Iss 9, Pp 239-247,253 (2022)

Schlagwörter: anchor-free instance segmentation, deep learning(dl), encoder-decoder structure, attention mechanism, dilated convolution, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20220929.pdf; https://doaj.org/toc/1000-3428

Zugangs-URL: https://doaj.org/article/a9d96527246f4a479d1717fa040e2ec2

Strip Attention Networks for Road Extraction

Autoren: Hai Huan Yu Sheng Yi Zhang et al.

Quelle: Remote Sensing, Vol 14, Iss 4516, p 4516 (2022)

Schlagwörter: remote sensing image, road extraction, attention module, encoder-decoder structure, Science

Relation: https://www.mdpi.com/2072-4292/14/18/4516; https://doaj.org/toc/2072-4292; https://doaj.org/article/83935e0762a14e0ea155f9ce73525dfb

Verfügbarkeit: https://doi.org/10.3390/rs14184516
https://doaj.org/article/83935e0762a14e0ea155f9ce73525dfb