Výsledky vyhledávání - Adaptive residual convolutional neural networks with encoder-decoder

An Improved Adaptive Multi-Scale Attention Dung Beetle Convolution Neural Network-Based Apple Leaves Disease Detection.

Autoři: Kolukula, Nitalaksheswara Rao Kopuri, Baburao Peddireddy, Veera Venkateswara Rao a další

Zdroj: International Journal of Information Technology & Decision Making. May2025, p1-30. 30p.

Témata: CONVOLUTIONAL neural networks, PRECISION farming, FRUIT trees, EARLY diagnosis, PLANT health

An intelligent speech enhancement model using enhanced heuristic-based residual convolutional neural network with encoder-decoder architecture.

Autoři: Balasubrahmanyam, M. Valarmathi, R. S.

Zdroj: International Journal of Speech Technology; Sep2024, Vol. 27 Issue 3, p637-656, 20p

Témata: CONVOLUTIONAL neural networks, INTELLIGIBILITY of speech, SPEECH perception, SPEECH enhancement, HEARING aids, DEEP learning, SUPERVISED learning, SPEECH

Multi-branch network for brain image denoising based on U-shaped dynamic convolution and multi-scale feature extraction.

Autoři: Qu, Huimin Xie, Haiyan Wang, Qianying

Zdroj: Electronic Research Archive. 2025, Vol. 33 Issue 9, p1-35. 35p.

Témata: *CONVOLUTIONAL neural networks, *IMAGE denoising, *IMAGE analysis, *BRAIN imaging, *DIAGNOSTIC imaging

ARDC-UNet retinal vessel segmentation with adaptive residual deformable convolutional based U-Net.

Autoři: Naik, N. V. J, Hyma Reddy, P. V. G. D. Prasad

Zdroj: Multimedia Tools & Applications; Oct2024, Vol. 83 Issue 33, p78747-78768, 22p

Témata: CONVOLUTIONAL neural networks, IMAGE processing, DIABETIC retinopathy, IMAGE segmentation, GRAYSCALE model, RETINAL blood vessels

Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging

Autoři: Du, Tianming Zhang, Honggang Li, Yuemeng a další

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2006.01385

A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening.

Autoři: Zhang, Xugang Shen, Mo Zhao, Lujiang a další

Zdroj: Biomedical Signal Processing & Control. Dec2024, Vol. 98, pN.PAG-N.PAG. 1p.

Témata: Convolutional neural networks, Image segmentation, Optic disc, Individual differences, Glaucoma

ADCFormer: A hybrid model of Adaptive Depth-wise Convolution and Transformer for retinal macular edema segmentation in OCT images.

Autoři: Xu, Han Lv, Ruichan

Zdroj: Biomedical Signal Processing & Control. Oct2025, Vol. 108, pN.PAG-N.PAG. 1p.

Témata: Convolutional neural networks, Optical coherence tomography, Transformer models, Macular edema, Image segmentation

State-of-Charge Estimation for Lithium-Ion Batteries Using Residual Convolutional Neural Networks.

Autoři: Wang, Yu-Chun Shao, Nei-Chun Chen, Guan-Wen a další

Zdroj: Sensors (14248220); Aug2022, Vol. 22 Issue 16, p6303-6303, 16p

Témata: LITHIUM-ion batteries, CONVOLUTIONAL neural networks, SERVICE life

Attention module incorporated transfer learning empowered deep learning-based models for classification of phenotypically similar tropical cattle breeds (Bos indicus)

Autoři: Warhade, Radhika Devi, Indu Singh, Naseeb a další

Zdroj: Tropical Animal Health & Production. Jul2024, Vol. 56 Issue 6, p1-15. 15p.

Automatic Segmentation of Cervical Cells Based on Star-Convex Polygons in Pap Smear Images.

Autoři: Zhao, Yanli Fu, Chong Zhang, Wenchao a další

Zdroj: Bioengineering (Basel). Jan2023, Vol. 10 Issue 1, p47. 17p.

Témata: *PAP test, *CONVOLUTIONAL neural networks, *FEATURE extraction, *THERAPEUTICS, *MEDICAL screening, *DECODING algorithms

MIDWRSEG: ACQUIRING ADAPTIVE MULTI-SCALE CONTEXTUAL INFORMATION FOR ROAD-SCENE SEMANTIC SEGMENTATION.

Autoři: Bing SU Peng JIN Yifeng LIN a další

Zdroj: Computing & Informatics. 2024, Vol. 43 Issue 4, p849-873. 25p.

Témata: Transformer models, Feature extraction, Autonomous vehicles, Competitive advantage in business

Multi-Scale Spatial Perception Attention Network for Few-Shot Hyperspectral Image Classification

Autoři: Yang Li Jian Luo Haoyu Long a další

Zdroj: IEEE Access, Vol 12, Pp 173076-173090 (2024)

Témata: multi-scale, Hyperspectral image (HSI) classification, transformer, few-shot learning, Electrical engineering. Electronics. Nuclear engineering, fully convolutional network (FCN), attention, TK1-9971

Přístupová URL adresa: https://doaj.org/article/8e0407c34cd0480a889fa733151482ac

Structure-preserving low-dose computed tomography image denoising using a deep residual adaptive global context attention network

Autoři: Zhang, Yuanke Hao, Dejing Lin, Yingying a další

Zdroj: Quant Imaging Med Surg

Témata: Original Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37869272

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation

Autoři: Tianming Du Honggang Zhang Yuemeng Li a další

Zdroj: Medical Image Analysis. 72:102098

Témata: Spatial Analysis, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, Humans, Neural Networks, Computer, Magnetic Resonance Imaging, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34091426
https://dblp.uni-trier.de/db/journals/mia/mia72.html#DuZLPRZSF21
https://www.sciencedirect.com/science/article/pii/S1361841521001444
http://doi.org/10.1016/j.media.2021.102098
https://doi.org/10.1016/j.media.2021.102098
https://europepmc.org/article/MED/34091426
https://pubmed.ncbi.nlm.nih.gov/34091426/

S-Net: a scalable convolutional neural network for JPEG compression artifact reduction.

Autoři: Zheng, Bolun Sun, Rui Tian, Xiang a další

Zdroj: Journal of Electronic Imaging; Jul/Aug2018, Vol. 27 Issue 4, p1-12, 12p

Témata: ARTIFICIAL neural networks, JPEG (Image coding standard), IMAGE compression, DISCRETE cosine transforms, IMAGE quality analysis

CrackF-Net: a pixel-level segmentation network for pavement crack detection.

Autoři: Luan, Shen Gao, Xingen Wang, Chen a další

Zdroj: Journal of Electronic Imaging. Nov/Dec2023, Vol. 32 Issue 6, p63002-13. 1p.

Témata: *CRACKING of pavements, *CONVOLUTIONAL neural networks, *COMPUTER vision, *IMAGE segmentation, *ADAPTIVE filters, *FEATURE selection

Spatial-Adaptive Network for Single Image Denoising

Autoři: Chang, Meng Li, Qi Feng, Huajun a další

Témata: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2001.10291

Multiscale feature fusion deep network for single image dehazing with continuous memory mechanism.

Autoři: Xie, Zhihua Li, Qiang Zong, Sha a další

Zdroj: Optik - International Journal for Light & Electron Optics. Sep2023, Vol. 287, pN.PAG-N.PAG. 1p.

Témata: *CONVOLUTIONAL neural networks, *ARTIFICIAL neural networks, *COMPUTER performance, *IMAGE fusion, *MEMORY, *DEEP learning, *COMPUTER vision

基于残差密集网络与注意力机制的图像降噪.

Alternate Title: Image Denoising Based on Residual Dense Networks and Attention Mechanism.

Autoři: 马荣恒 喻春雨 童亦新

Zdroj: Science Technology & Engineering. 2025, Vol. 25 Issue 9, p3795-3805. 11p.

NRDPU-Net: A Normalized Residual Depth U-Net with Ridge Vessel Preprocessing for Accurate Melanoma Classification

Autoři: Shyamala Devi, M Natarajan, Yuvaraj K. R., Sri Preethaa