Suchergebnisse - "((\"Encoder AND decoder architecture\") OR (\"Encoder AND design architecture\"))"

Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture

Autoren: Phu N. Tran Hoang Q. V. Nguyen Duc-Thinh Pham et al.

Quelle: IEEE Access, Vol 10, Pp 17881-17896 (2022)

Schlagwörter: Aircraft trajectory prediction, 4D trajectory, machine learning, encoder-decoder, convolution neural network, recurrent neural network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9704880/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/4eb409a40545404cb7e8b74968dc025a

Semantic segmentation method of underwater images based on encoder-decoder architecture.

Autoren: Wang J He X Shao F et al.

Quelle: PloS one [PLoS One] 2022 Aug 25; Vol. 17 (8), pp. e0272666. Date of Electronic Publication: 2022 Aug 25 (Print Publication: 2022).

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

MeSH-Schlagworte: Neural Networks, Computer* , Semantics*, Algorithms ; Image Processing, Computer-Assisted/methods ; Research Design

MapSegNet: A Fully Automated Model Based on the Encoder-Decoder Architecture for Indoor Map Segmentation

Autoren: Farzin Foroughi Jikai Wang Alireza Nemati et al.

Quelle: IEEE Access, Vol 9, Pp 101530-101542 (2021)

Schlagwörter: Image segmentation, deep image segmentation, CNN based segmentation, indoor map segmentation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/9488192/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/be66b7124e8e491f9ae742a725b0d569

A Robust Light-Weight Fused-Feature Encoder-Decoder Model for Monocular Facial Depth Estimation From Single Images Trained on Synthetic Data

Autoren: Faisal Khan Waseem Shariff Muhammad Ali Farooq et al.

Quelle: IEEE Access, Vol 11, Pp 41480-41491 (2023)

Schlagwörter: Facial depth estimation, feature fusion, encoder-decoder architecture, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10103585/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/42d2f3e1111f4ece8944de0a05e66cc3

Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation

Autoren: Lin Zhang Xinyu Guo Hongkun Sun et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-12 (2025)

Schlagwörter: Medical Image Segmentation, Vision Transformer, Convolutional Neural Networks, Channel Attention, Alternate Encoder, Dual Decoder, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/356d0573466b4e01a2cb60fb38f86d14

Automatic Polyp Segmentation in Colonoscopy Images Using a Modified Deep Convolutional Encoder-Decoder Architecture.

Autoren: Eu CY Tang TB Lin CH et al.

Quelle: Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Aug 20; Vol. 21 (16). Date of Electronic Publication: 2021 Aug 20.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

MeSH-Schlagworte: Colonoscopy* , Neural Networks, Computer*, Databases, Factual ; Diagnosis, Computer-Assisted ; Image Processing, Computer-Assisted ; Research Design

Semantic segmentation of retinal exudates using a residual encoder-decoder architecture in diabetic retinopathy.

Autoren: Manan MA Jinchao F Khan TM et al.

Quelle: Microscopy research and technique [Microsc Res Tech] 2023 Nov; Vol. 86 (11), pp. 1443-1460. Date of Electronic Publication: 2023 May 17.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9203012 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0029 (Electronic) Linking ISSN: 1059910X NLM ISO Abbreviation: Microsc Res Tech Subsets: MEDLINE

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: Deep neural network, background subtraction, transfer learning, encoder-decoder architecture, feature pooling framework, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10478894/; https://doaj.org/toc/2169-3536

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

Adaptive Feature Medical Segmentation Network: an adaptable deep learning paradigm for high-performance 3D brain lesion segmentation in medical imaging

Autoren: Asim Zaman Haseeb Hassan Xueqiang Zeng et al.

Quelle: Frontiers in Neuroscience, Vol 18 (2024)

Schlagwörter: medical image analysis, brain lesion segmentation, adaptive feature extraction, attention mechanism, encoder-decoder architecture, computer-aided diagnosis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2024.1363930/full; https://doaj.org/toc/1662-453X

Zugangs-URL: https://doaj.org/article/25c8d1842e5644808d16dfc43ffba1af

Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture.

Autoren: Fan Z Li C Chen Y et al.

Quelle: Materials (Basel, Switzerland) [Materials (Basel)] 2020 Jul 02; Vol. 13 (13). Date of Electronic Publication: 2020 Jul 02.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101555929 Publication Model: Electronic Cited Medium: Print ISSN: 1996-1944 (Print) Linking ISSN: 19961944 NLM ISO Abbreviation: Materials (Basel) Subsets: PubMed not MEDLINE

Design and implementation of LT codec architecture with optimized degree distribution

Autoren: GoangSeog Choi S. M. Shamsul Alam

Quelle: IEICE Electronics Express. 2013, 10(12):20130340

NEURAL NETWORK SYNTHESIS ARCHITECTURE USING ENCODER-DECODER MODELS

Learning Molecule Graphs Embedding Using Encoder-Decoder Architecture

Lung Disease Classification with Deep Learning Enhanced CNN Architecture in Chest X-Ray Imaging.

Autoren: Slimani FAA Bentourkia M

Quelle: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Dec 01. Date of Electronic Publication: 2025 Dec 01.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting

Autoren: Yanhong Li David C. Anastasiu

Quelle: IEEE Access, Vol 12, Pp 185012-185026 (2024)

Schlagwörter: Deep learning, representation learning, oversampling policy, streamflow prediction, hydrologic prediction, LSTM, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/10781401/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/a2f299c4e5b74b02b888a980680d249f

UDRNet: unsupervised deformable registration network of lung CT images with hybrid attention mechanism

Autoren: Xida Ma Mingyu Wang Limin Zhang et al.

Quelle: Frontiers in Medicine, Vol 12 (2025)

Schlagwörter: medical image registration, unsupervised learning, lung cancer diagnosis, hybrid attention mechanism, encoder-decoder, Medicine (General), R5-920

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmed.2025.1689742/full; https://doaj.org/toc/2296-858X

Zugangs-URL: https://doaj.org/article/ab95cb49a3404e0888300e4f7496670c

MICER: a pre-trained encoder-decoder architecture for molecular image captioning.

Autoren: Yi J Wu C Zhang X et al.

Quelle: Bioinformatics (Oxford, England) [Bioinformatics] 2022 Sep 30; Vol. 38 (19), pp. 4562-4572.

Publikationsart: Journal Article; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

MeSH-Schlagworte: Deep Learning*, Image Processing, Computer-Assisted/methods

TransUNetFormer: let hybrid convolutional neural network + transformer encoder and decoder provide powerful support for remote sensing image segmentation.

Autoren: Liu, Siyong Zhao, Yili

Quelle: Journal of Electronic Imaging; Jan2025, Vol. 34 Issue 1, p13024-013024-11, 1p

Schlagwörter: CONVOLUTIONAL neural networks, TRANSFORMER models, REMOTE sensing, IMAGE segmentation, EARTH sciences

Deep Learning-Based Short Text Summarization: An Integrated BERT and Transformer Encoder–Decoder Approach.

Autoren: Ghanem, Fahd A. Padma, M. C. Abdulwahab, Hudhaifa M. et al.

Quelle: Computation; Apr2025, Vol. 13 Issue 4, p96, 21p

Schlagwörter: LANGUAGE models, TEXT summarization, LONG short-term memory, TRANSFORMER models

Deep Encoder–Decoder Neural Networks for Retinal Blood Vessels Dense Prediction

Autoren: Wenlu Zhang Lusi Li Vincent Cheong et al.

Quelle: International Journal of Computational Intelligence Systems, Vol 14, Iss 1 (2021)

Schlagwörter: Deep learning, Encoder-decoder, Retinal blood vessel, Dense prediction, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.atlantis-press.com/article/125954370/view; https://doaj.org/toc/1875-6883

Zugangs-URL: https://doaj.org/article/c07f3d23d3bf4677b18d82ffba91236a