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检索条件"任意字段=Neural and Stochastic Methods in Image and Signal Processing"
9396 条 记 录,以下是241-250 订阅
An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net
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BIOMEDICAL signal processing AND CONTROL 2024年 88卷
作者: Rathinam, Vinoth Sasireka, R. Valarmathi, K. PSR Engn Coll Dept Elect & Commun Engn Sivakasi Tamil Nadu India Mepco Schlenk Engn Coll Dept Biotechnol Sivakasi Tamil Nadu India
Breast cancer mortality can be prevented by only early, accurate mammography screening and diagnosis. Although CNN-based computer-aided diagnosis (CAD) systems for breast cancer have made tremendous progress recently,... 详细信息
来源: 评论
Intelligent identification of bolt looseness with one-dimensional deep convolutional neural networks
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signal image AND VIDEO processing 2025年 第1期19卷 1-11页
作者: Zhang, Xiaoli Xia, Yong Zhao, Junfeng Changan Univ Minist Educ Key Lab Rd Construct Technol & Equipment Xian 710064 Peoples R China
The bolt connection has characteristics of strong bearing capacity, easy maintenance and replacement, but the bolt connection structure often has loose failures during operation due to the detachability of the bolts. ... 详细信息
来源: 评论
image interpolation with spiking neural network based pixel similarity
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signal image AND VIDEO processing 2024年 第10期18卷 6925-6936页
作者: Kilicaslan, Mahmut Ankara Univ Dept Comp Technol Ankara Turkiye
image interpolation is an important topic in the field of image processing. It is defined as the process of transforming low-resolution images into high-resolution ones using image processing methods. Recent studies o... 详细信息
来源: 评论
A new multi-scale CNN with pixel-wise attention for image denoising
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signal image AND VIDEO processing 2024年 第3期18卷 2733-2741页
作者: Deng, Jibin Hu, Chaohua Nanchang Univ Sch Math & Comp Sci Nanchang 330031 Peoples R China Nanchang Univ Sch Informat Engn Nanchang 330031 Peoples R China
Convolutional neural networks (CNNs) are widely popular in the field of image denoising. A large number of CNN-based denoising methods exhibit superior denoising performance in comparison with most conventional denois... 详细信息
来源: 评论
PMMWDECONV: UNSUPERVISED DATA-CONSISTENT BLIND PASSIVE MILLIMETER-WAVE image DECONVOLUTION WITH GLOBAL CONTEXT PRIORS  49
PMMWDECONV: UNSUPERVISED DATA-CONSISTENT BLIND PASSIVE MILLI...
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49th IEEE International Conference on Acoustics, Speech, and signal processing (ICASSP)
作者: Yang, Hao Gu, Ruochen Yang, Zihan Hu, Anyong Cui, Tie Jun Miao, Jungang Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Southeast Univ Inst Elect Space & State Key Lab Millimeter Waves Nanjing Peoples R China
Passive millimeter-wave (PMMW) imaging is extensively employed in public security industries due to its privacy-safe and non-hazardous nature. Nevertheless, the quality of PMMW images is typically poor given blur and ... 详细信息
来源: 评论
TULTS-Net: Local-Global Feature-Aware Transformer and inter-layer feature interaction for medical image processing
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DIGITAL signal processing 2025年 163卷
作者: Xia, Mingge Ma, Jinlin Ma, Ziping North Minzu Univ Sch Comp Sci & Engn Yinchuan 750021 Peoples R China Key Lab Natl Ethn Affairs Commiss Intelligent Proc Yinchuan 750021 Peoples R China North Minzu Univ Sch Math & Informat Sci Yinchuan 750021 Peoples R China
Accurate segmentation of the liver and liver tumors has important clinical significance for subsequent treatment processes. Nevertheless, the existing U-shaped methods generally fall short in two challenges, constrain... 详细信息
来源: 评论
Enhancement method of low illumination image based on deep neural network integration
Enhancement method of low illumination image based on deep n...
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2024 International Conference on image, signal processing, and Pattern Recognition, ISPP 2024
作者: Jun, Liu Shuai, Wang Shaohui, Qu Army Logistics Academy China
Aiming at the problem that existing low-illumination image enhancement methods cannot simultaneously take into account multiple degrading factors, which leads to poor processing effect when applied to real scenes, dee... 详细信息
来源: 评论
Activation Function Perturbations in Artificial neural Networks Effects on Robustness
Activation Function Perturbations in Artificial Neural Netwo...
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2024 Western New York image and signal processing Workshop
作者: Sostre, Justin Cahill, Nathan Merkel, Cory
Artificial neural Networks (ANNs) are powerful models that can learn underlying nonlinear structures within data, such as images, sounds, and sentences. However, researchers have found a significant unsolved problem w... 详细信息
来源: 评论
Dynamic Tactical image Recognition and Analysis in Football Matches Using Convolutional neural Networks
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TRAITEMENT DU signal 2025年 第1期42卷 583-592页
作者: Xie, Qi Baoji Univ Arts & Sci Sch Phys Educ Baoji 721000 Peoples R China
With the increasing complexity of modern football tactics, how to intelligently and accurately analyze tactical changes in real-time during matches has become an important research direction. Traditional manual tactic... 详细信息
来源: 评论
image Hiding Based on Compressive Autoencoders and Normalizing Flow
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IEEE signal processing LETTERS 2024年 31卷 2810-2814页
作者: Chen, Liang Zhang, Xianquan Yu, Chunqiang Tang, Zhenjun Guangxi Normal Univ Key Lab Educ Blockchain & Intelligent Technol Minist Educ Guilin 541004 Peoples R China
image hiding aims to hide the secret data in the cover image for secure transmission. Recently, with the development of deep learning, some deep learning-based image hiding methods were proposed. However, most of them... 详细信息
来源: 评论