Výsledky vyhľadávania - "Convolutional encoder-decoder"

Enhancing SEEG-Based Speech Decoding via Convolutional Encoder-Decoder and Scale-Recursive Reconstructor

Autori: Vincent Yuanyu He Aiping Liu Shengcai Duan a ďalší

Zdroj: IEEE Sensors Journal. 25:20250-20262

PEDSA: High-Throughput Pipeline-Based FPGA Accelerator for Convolutional Encoder–Decoder Segmentation Networks

Autori: Yuxian Jiang Zhan Li Zhihan Zhang a ďalší

Zdroj: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44:1326-1339

Supervised Convolutional Encoder-Decoder With Gated Linear Units for Detecting Fetal R-Peaks

Autori: Yao Chen Jian Wang Jing Zhang a ďalší

Zdroj: IEEE Access, Vol 13, Pp 4290-4303 (2025)

Predmety: Fetal R-peak, GLU convolutional layer, encoder-decoder, fetal QRS complexes locations, Electrical engineering. Electronics. Nuclear engineering, sequence tagging, TK1-9971

Prístupová URL adresa: https://doaj.org/article/5be975e5885849dca58f508bbe3cb70f

NL-CoWNet: A Deep Convolutional Encoder–Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks

Autori: P. S. Arun Bibin Francis Varun P. Gopi

Zdroj: IEEE Transactions on Artificial Intelligence. 6:700-709

A 0.75mm2 407μW Real-Time Speech Audio Denoiser with Quantized Cascaded Redundant Convolutional Encoder-Decoder for Wearable IoT Devices

Autori: Dimple Vijay Kochar Maitreyi Ashok Anantha P. Chandrakasan

Zdroj: 2025 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID). :180-185

4222 Comparing sequential DNN models in convolutional encoder-decoder framework for proton dose calculation

Autori: Lina S. Bucher Ahmad Neishabouri Luke Voss a ďalší

Zdroj: Radiotherapy and Oncology. 206:S2708-S2710

Convolutional Encoder-Decoder Based Salient Object Detection

Autori: Neeraj Rathore Maroti Deshmukh Maheep Singh a ďalší

Zdroj: 2024 4th International Conference on Innovative Sustainable Computational Technologies (CISCT). :1-5

Convolutional Encoder-Decoder Network for Road Extraction from Remote Sensing Images

Autori: Makhlouf Y. Daamouche A. Melgani F.

Zdroj: 2024 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS). :11-15

Predmety: aerial images, Convolutional neural networks (CNN), decoder, down-sampling, encoder, road network extraction, up-sampling

Prístupová URL adresa: https://hdl.handle.net/11572/437980
https://doi.org/10.1109/M2GARSS57310.2024.10537309

Multi-Attention Bottleneck for Gated Convolutional Encoder-Decoder-Based Speech Enhancement

Autori: Nasir Saleem Teddy Surya Gunawan Muhammad Shafi a ďalší

Zdroj: IEEE Access, Vol 11, Pp 114172-114186 (2023)

Predmety: time-frequency attention, gated convolutional encoder-decoder, transformer, speech enhancement, Electrical engineering. Electronics. Nuclear engineering, channel attention, Multi-attention, TK1-9971

Prístupová URL adresa: https://doaj.org/article/92132f63e4944fb895caa54ac358a798

Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder–Decoder Network

Autori: Gexin Huang Ke Liu Jiawen Liang a ďalší

Zdroj: IEEE Transactions on Neural Networks and Learning Systems. 35:6423-6437

Predmety: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36215381
http://arxiv.org/abs/2010.12876

IoT-Enabled Alzheimer Disease Detection: A Convolutional Encoder-Decoder Approach Enhanced by Alpine Skiing Optimization

Autori: S.V. Evangelin Sonia Narendra B Mustare V. Sailaja a ďalší

Zdroj: 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI). :386-391

Denoising method for spatial heterodyne interferograms based on a convolutional encoder-decoder and transformer

Autori: Wei Luo Song Ye Wei Xiong a ďalší

Zdroj: Optics Express. 33:43234

High-to-low flow dynamics learning with deep convolutional encoder–decoder networks for randomly packed pebble-bed geometry

Autori: David Lanade Yang Liu Yassin Hassan

Zdroj: Physics of Fluids. 37

CT-γ-Net: A Hybrid Model Based on Convolutional Encoder–Decoder and Transformer Encoder for Brain Tumor Localization

Autori: Punam Bedi Ningyao Ningshen Surbhi Rani a ďalší

Zdroj: Journal of Data Science and Intelligent Systems. 3:35-49

Reconstruction of three-dimensional fluid stress field via photoelasticity using physics-informed convolutional encoder-decoder

Autori: Igarashi, Daichi Kumagai, Shunsuke Yokoyama, Yuto a ďalší

Predmety: Physics - Data Analysis, Statistics and Probability, Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Physics - Fluid Dynamics, Data Analysis, Statistics and Probability (physics.data-an)

Prístupová URL adresa: http://arxiv.org/abs/2504.15952

A novel deep fully convolutional encoder-decoder network and similarity analysis for English education text event clustering analysis

Autori: Zhenping Jing

Zdroj: Computer Science and Information Systems. 21:1783-1800

Wsp-Extractor: A Generic Extraction Framework of Weld Seam Profiles Based on Deep Convolutional Encoder-Decoder Architecture for Automated Robotic Welding

Autori: Yinshui He Keyi Song Run Cai

Deep convolutional encoder–decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery

Autori: Huming Zhu Chendi Liu Qiuming Li a ďalší

Zdroj: CCF Transactions on High Performance Computing. 6:408-424

DSLSTM: a deep convolutional encoder–decoder architecture for abnormality detection in video surveillance

Autori: Sanjay Roka Manoj Diwakar

Zdroj: Cluster Computing. 27:4925-4940

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

Autori: Jui-Pin Tsai Yu-Kai Chen Bo-Tsen Wang a ďalší

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