Suchergebnisse - "Encoder-Decoder Neural Network"

Encoder-Decoder Neural Network Model Inspired by Retinal Signal Processing in the Retina and Decoding in the Visual Cortex

Autoren: Jose Chavez-Olvera Rene Luna-Garcia Adrian Ramirez-Morales et al.

Quelle: Communications in Computer and Information Science ISBN: 9783031979095

Multi-modal encoder-decoder neural network for forecasting solar wind speed at L1

Autoren: Dhuri, Dattaraj B. Hanasoge, Shravan M. Joon, Harsh et al.

Schlagwörter: Instrumentation and Methods for Astrophysics, FOS: Physical sciences, Solar and Stellar Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Solar and Stellar Astrophysics (astro-ph.SR)

Zugangs-URL: http://arxiv.org/abs/2507.17298

Physics-informed deep convolutional hierarchical encoder-decoder neural network for flow field prediction in wind farms

Autoren: Saeede Hasanpoor David A. Romero Joaquin E. Moran et al.

Quelle: Energy and AI, Vol 21, Iss , Pp 100553- (2025)

Schlagwörter: Surrogate models, Physics-informed convolutional encoder-decoder networks, Wind farm layout optimization, Annual energy production, Wind turbines, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666546825000850; https://doaj.org/toc/2666-5468

Zugangs-URL: https://doaj.org/article/7f1fc5809be842d381b9768a56a52dbd

Hydraulic heterogeneity estimation with transient hydraulic tomography and convolutional encoder-decoder neural network

Autoren: Jui-Pin Tsai Yu-Kai Chen Bo-Tsen Wang et al.

Quelle: Stochastic Environmental Research and Risk Assessment. 39:4083-4105

A Multimodal Encoder–Decoder Neural Network for Forecasting Solar Wind Speed at L1

Autoren: Dattaraj B. Dhuri Shravan M. Hanasoge Harsh Joon et al.

Quelle: The Astrophysical Journal Supplement Series. 280:40

Underwater Acoustic Signal Noise Reduction Based on a Fully Convolutional Encoder-Decoder Neural Network

Autoren: Yongqiang Song Qian Chu Feng Liu et al.

Quelle: Journal of Ocean University of China. 22:1487-1496

Robust Sarcasm Detection using Artificial Rabbits Optimizer with Multilayer Convolutional Encoder-Decoder Neural Network on Social Media

Autoren: Palaniammal A Anandababu P

Quelle: International Journal of Electronics and Communication Engineering. 10:1-13

PAPR Reduction of GFDM Signals Using Encoder-Decoder Neural Network (Autoencoder)

Autoren: Sumit Chakravarty Arun Kumar

Quelle: National Academy Science Letters. 46:213-217

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection

Autoren: Bayón Gutiérrez, Martín García Ordás, María Teresa Alaiz Moretón, Héctor et al.

Weitere Verfasser: Bayón Gutiérrez, Martín García Ordás, María Teresa Alaiz Moretón, Héctor et al.

Quelle: BULERIA. Repositorio Institucional de la Universidad de León
Universidad de León

Schlagwörter: Informática, FOS: Computer and information sciences, 0209 industrial biotechnology, LiDAR, Twin Encoder-Decoder, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Convolutional Neural Network, 02 engineering and technology, BEV, Road Detection, Ingenierías, 0202 electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2405.08429
https://hdl.handle.net/10612/20890

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

Autoren: Czerkawski, Mikolaj Ilioudis, Christos Clemente, Carmine et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2404.08298

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection

Autoren: Bayón-Gutiérrez, Martín García-Ordás, María Teresa Moretón, Héctor Alaiz et al.

Index Begriffe: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2405.08429

Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network

Autoren: Czerkawski, Mikolaj Ilioudis, Christos Clemente, Carmine et al.

Quelle: 2021 IEEE Radar Conference (RadarConf21). :1-6

Schlagwörter: FOS: Computer and information sciences, Electrical engineering. Electronics Nuclear engineering, TK, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf; text

Zugangs-URL: https://strathprints.strath.ac.uk/75252/1/Czerkawski_etal_IEEE_RadarConf2021_Interference_motion_removal_for_Doppler_radar_vital_sign_detection.pdf
http://arxiv.org/abs/2404.08298
https://strathprints.strath.ac.uk/75252/
https://pureportal.strath.ac.uk/en/publications/interference-motion-removal-for-doppler-radar-vital-sign-detectio

DENOISING ENCODER-DECODER NEURAL NETWORK FOR PAIN RECOGNITION AND OTHER DIAGNOSTIC APPLICATIONS

Encoder-Decoder Neural Network with Attention Mechanism for Types Detection in Linked Data

Autoren: Oussama Hamel Messaouda Fareh

Quelle: Annals of computer science and information systems, Vol 30, Pp 733-739 (2022)

Schlagwörter: Artificial neural network, Artificial intelligence, Pattern Classification, Information technology, Epistemology, 02 engineering and technology, Feedforward Neural Networks, Deep Learning, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, 10. No inequality, Recurrent Neural Networks, Mechanism (biology), QA75.5-76.95, Neural Network Fundamentals and Applications, 15. Life on land, T58.5-58.64, Computer science, Encoder, FOS: Philosophy, ethics and religion, 3. Good health, Algorithm, Operating system, Philosophy, Electronic computers. Computer science, Computer Science, Physical Sciences, Decoding methods

Zugangs-URL: https://doaj.org/article/9399dad084654061a492eeb4797836e3

An Attention-Based Multi-Context Convolutional Encoder-Decoder Neural Network for Work Zone Traffic Impact Prediction

Autoren: Jiang, Qinhua Liao, Xishun Gong, Yaofa et al.

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, 11. Sustainability, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2405.21045

The local ternary pattern encoder–decoder neural network for dental image segmentation

Autoren: Omran Salih Kevin Jan Duffy

Quelle: IET Image Processing, Vol 16, Iss 6, Pp 1520-1530 (2022)

Schlagwörter: QA76.75-76.765, 03 medical and health sciences, 0302 clinical medicine, Photography, 0202 electrical engineering, electronic engineering, information engineering, Computer software, 02 engineering and technology, TR1-1050

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ipr2.12416
https://doaj.org/article/7c49d36b53e944a58fb8dea9db850b97

Segmentation of Retinal Lesions in Fundus Images: A Patch Based Approach Using Encoder-Decoder Neural Network

Autoren: C. Shoba Bindu E. Sudheer Kumar

Quelle: 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS). :1247-1253

Schlagwörter: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://ieeexplore.ieee.org/document/9441964

Convolutional LSTM-Attention Based Encoder–Decoder Neural Network for Prediction of Chaotic Vibrations of Multi-Dimensional Dynamic Systems

Autoren: Luyao Wang Liming Dai Haixing Zhao et al.

Quelle: International Journal of Structural Stability and Dynamics. 24

Schlagwörter: 0203 mechanical engineering, 02 engineering and technology, 0201 civil engineering

Encoder-Decoder Neural Network Architecture for solving Job Shop Scheduling Problems using Reinforcement Learning

Autoren: Ricardo Magalhaes Miguel Martins Susana Vieira et al.

Quelle: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). :01-08

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Towards CSI-based diversity activity recognition via LSTM-CNN encoder-decoder neural network

Autoren: Linlin Guo Guangqiang Diao Chuang Lin et al.

Quelle: Neurocomputing. 444:260-273

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://dblp.uni-trier.de/db/journals/ijon/ijon444.html#GuoZWGDLLW21
https://www.sciencedirect.com/science/article/pii/S092523122031777X