Výsledky vyhledávání - deep-learning encoder–decoder

Predicting membrane strains with a deep learning encoder-decoder convolutional neural network architecture trained on synthetic finite element data

Autoři: B.S. Vien

Zdroj: Materials Research Proceedings. 50:61-72

Deep Learning For Image Colorization: An Encoder-Decoder Approach

Autoři: Mohammad Zubair Aalam Aarish Faiz Ishwar Tandi a další

Zdroj: International Journal of Research Publication and Reviews. 6:6801-6806

Encoder-Decoder Architectures for Crack Detection on Surfaces: A Deep Learning Approach

Autoři: null Sakshi Richa Vijay Sachin Lodhi a další

Zdroj: Ingénierie des systèmes d information. 30:495-503

Deep Learning-Based Iterative Residual Encoder-Decoder Solution for Electromagnetic Modeling over a Broad Frequency Band

Autoři: Jiuwei Tao Lin Chen Xing Wang a další

Zdroj: IEEE Antennas and Wireless Propagation Letters. :1-5

Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation

Autoři: Aqsa Dastgir Wang Bin Muhammad Usman Saeed a další

Zdroj: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Témata: Deep Learning, Science, Image Processing, Computer-Assisted, Medicine, Humans, Neural Networks, Computer, Tomography, X-Ray Computed, Article, Spine, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40240440
https://doaj.org/article/714b3de4e722400794cdbea8f9d18514

Improving Reservoir Water Supply and Inflow Volume Predictions with Encoder-Decoder Deep Learning Models

Autoři: Zeeshan Asghar Muhammad Waseem

Zdroj: Fusion Journal of Engineering and Sciences. 1

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

Autoři: Masoomeh Gomroki Dilshan Benaragama Christopher James Henry a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/65fcf468bd8a474588d2a70f2631dc70

Plant leaf infected spot segmentation using robust encoder-decoder cascaded deep learning model.

Autoři: Femi D Anandan Mukunthan M

Zdroj: Network (Bristol, England) [Network] 2025 Aug; Vol. 36 (3), pp. 407-425. Date of Electronic Publication: 2023 Nov 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9431867 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-6536 (Electronic) Linking ISSN: 0954898X NLM ISO Abbreviation: Network Subsets: MEDLINE

Výrazy ze slovníku MeSH: Deep Learning* , Plant Leaves*/microbiology , Plant Diseases*/classification , Image Processing, Computer-Assisted*/methods, Algorithms ; Neural Networks, Computer

A Deep-learning-based Auto Encoder-Decoder Model for Denoising Electrocardiogram Signals

Autoři: Maumita Das Bikash Chandra Sahana

Zdroj: IETE Journal of Research. 71:326-340

Deep Learning Attitude Estimation Model Based on Encoder-Decoder Architecture

Autoři: Xin Zhao Huixiang Liu Zhimin Zheng a další

Zdroj: 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT). :627-631

A Novel Weber Cross Information Sharing Deep Learning Encoder Decoder Model for Emotion Recognition Using Facial Expression

Autoři: Jeen Retna Kumar R Berakhah.F. Stanley Gnanaprakash V a další

Zdroj: 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). :1-5

Application of Gaussian Model and Deep Learning Encoder-Decoder Algorithm for Single-Image Reflection Removal

Autoři: Ishaq A. Nandom S. S. Samson T. J. a další

Zdroj: Advanced Journal of Science, Technology and Engineering. 4:64-80

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

Autoři: Fahd A. Ghanem M. C. Padma Hudhaifa M. Abdulwahab a další

Zdroj: Computation, Vol 13, Iss 4, p 96 (2025)

Témata: Electronic computers. Computer science, short text summarization, deep learning, Twitter summarization, QA75.5-76.95, transformer-based encoder–decoder, attention mechanism, BERT

Přístupová URL adresa: https://doaj.org/article/e5e5da289c0e4c5e84f0b58da2848f55

Deep Learning Based Encoder-Decoder Model for Skin Cancer Classification

Autoři: Anita Murmu Shipra Swati Naween Kumar a další

Zdroj: 2024 7th International Conference on Contemporary Computing and Informatics (IC3I). :1454-1459

Multi-Head Encoder-Decoder Deep Learning Architecture for Flood Segmentation and Mapping Through Multi-Sensor Data Fusion

Autoři: Mulham Fawakherji Leila Hashemi-Beni

Zdroj: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. :1191-1195

Discover the Tractable Latent Space of Floating Offshore Wind Turbine Based on a Novel GNN-Encoder-Decoder-LSTM Deep Learning Architecture

Autoři: Kobe Hoi-Yin Yung Qing Xiao Xiuqing Xing a další

Zdroj: Lecture Notes in Computer Science ISBN: 9783031976254

A Survey on Image Captioning Using Encoder-Decoder Based Deep Learning Models

Autoři: Chauhan Harshil Narendrabhai Chintan Bhupeshbhai Thacker

Zdroj: 2024 Parul International Conference on Engineering and Technology (PICET). :1-5

Moving Object Detection for Thermal Video Using Encoder-Decoder Type Deep Learning Framework

Autoři: Upasana Panigrahi Manoj Kumar Panda Prabodh Kumar a další

Zdroj: 2024 Parul International Conference on Engineering and Technology (PICET). :1-6

To Fly, or Not to Fly, That Is the Question: A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry

Autoři: Naim Abdul-Khalek Mario Picciani Omar Shouman a další

Zdroj: J Proteome Res
Abdul-Khalek, N, Picciani, M, Shouman, O, Wimmer, R, Overgaard, M T, Wilhelm, M & Gregersen Echers, S 2025, 'To Fly, or Not to Fly, That Is the Question : A Deep Learning Model for Peptide Detectability Prediction in Mass Spectrometry', Journal of Proteome Research, vol. 24, no. 6, pp. 2709-2726. https://doi.org/10.1021/acs.jproteome.4c00973

Témata: Attention mechanism, Computational proteomics, Encoder-decoder, Peptides/analysis, Classification, Article, ddc, Flyability, Rescoring, Deep Learning, Bottom-up proteomics, Peptide Library, ddc:630, Animals, Humans, Amino Acid Sequence, Proteomics/methods, Peptide detectability, Mass Spectrometry/methods, Software

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40344201
https://mediatum.ub.tum.de/doc/1784920/document.pdf

Deep Learning-Enabled Non-convex Optimization: Encoder-Decoder Forecasting and ADMM Solver

Autoři: Wanying Zhang Wenming Cao Jianhua Ji

Zdroj: Proceedings of the International Conference on Computer Vision and Deep Learning. :1-6