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CONVOLUTION: 作品数：628被引量：731H指数：11; 导出分析报告; 相关领域：理学机械工程更多>>; 相关作者：朱延娟周来水李陶深何乐生贾积身更多>>; 相关机构：华中师范大学南京航空航天大学东南大学云南大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家高技术研究发展计划更多>>

Wavelet Transform Convolution and Transformer-Based Learning Approach for Wind Power Prediction in Extreme Scenarios: 《Computer Modeling in Engineering & Sciences》2025年第4期945-965,共21页Jifeng Liang Qiang Wang Leibao Wang Ziwei Zhang Yonghui Sun Hongzhu Tao Xiaofei Li; funded by the Science and Technology Project of State Grid Corporation of China under Grant No.5108-202218280A-2-299-XG.; Wind power generation is subjected to complex and variable meteorological conditions,resulting in intermittent and volatile power generation.Accurate wind power prediction plays a crucial role in enabling the power gr...; 关键词：Extreme scenarios conditional generative adversarial network wavelet transform Transformer wind power prediction

Integrating Bayesian and Convolution Neural Network for Uncertainty Estimation of Cataract from Fundus Images: 《Computer Modeling in Engineering & Sciences》2025年第4期569-592,共24页Anandhavalli Muniasamy Ashwag Alasmari; Saudi Arabia for funding this work through Small Research Group Project under Grant Number RGP.1/316/45.; The effective and timely diagnosis and treatment of ocular diseases are key to the rapid recovery of patients.Today,the mass disease that needs attention in this context is cataracts.Although deep learning has signifi...; 关键词：Bayesian neural networks(BNNs) convolution neural networks(CNN) Bayesian convolution neural networks(BCNNs) predictive modeling precision medicine uncertainty quantification

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation: 《Computer Modeling in Engineering & Sciences》2025年第1期209-229,共21页Jiawei Tian Yu Zhou Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu Lu Wenfeng Zheng; Supported by Sichuan Science and Technology Program(2023YFSY0026,2023YFH0004);Supported by the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korean government(MSIT)(No.RS-2022-00155885,Artificial Intelligence Convergence Innovation Human Resources Development(Hanyang University ERICA)).; Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This st...; 关键词：Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation

Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction: 《Computer Modeling in Engineering & Sciences》2025年第1期299-327,共29页A.Robert Singh Suganya Athisayamani Gyanendra Prasad Joshi Bhanu Shrestha; the Research Grant of Kwangwoon University in 2024.; Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronar...; 关键词：SPECT-MPI CAD MSDC DENOISING attenuation correction classification

A Genetic Algorithm-Based Optimized Transfer Learning Approach for Breast Cancer Diagnosis: 《Computer Modeling in Engineering & Sciences》2024年第12期2575-2608,共34页Hussain AlSalman Taha Alfakih Mabrook Al-Rakhami Mohammad Mehedi Hassan Amerah Alabrah; The authors extend their appreciation to the Deputyship for Research&Innovation,“Ministry of Education”in Saudi Arabia for funding this research work through the project number (IFKSUDR_D127).; Breast cancer diagnosis through mammography is a pivotal application within medical image-based diagnostics,integral for early detection and effective treatment.While deep learning has significantly advanced the analy...; 关键词：Deep learning convolution neural network(CNN) support vector machine(SVM) genetic algorithmic(GA) breast cancer an optimized smart diagnosis

Convolution-Transformer for Image Feature Extraction被引量：1: 《Computer Modeling in Engineering & Sciences》2024年第10期87-106,共20页Lirong Yin Lei Wang Siyu Lu Ruiyang Wang Youshuai Yang Bo Yang Shan Liu Ahmed AlSanad Salman A.AlQahtani Zhengtong Yin Xiaolu Li Xiaobing Chen Wenfeng Zheng; Support by Sichuan Science and Technology Program(2021YFQ0003,2023YFSY 0026,2023YFH0004).; This study addresses the limitations of Transformer models in image feature extraction,particularly their lack of inductive bias for visual structures.Compared to Convolutional Neural Networks(CNNs),the Transformers a...; 关键词：TRANSFORMER E-Attention depth convolution dilated convolution CEFormer

AFBNet: A Lightweight Adaptive Feature Fusion Module for Super-Resolution Algorithms: 《Computer Modeling in Engineering & Sciences》2024年第9期2315-2347,共33页Lirong Yin Lei Wang Siyu Lu Ruiyang Wang Haitao Ren Ahmed AlSanad Salman A.AlQahtani Zhengtong Yin Xiaolu Li Wenfeng Zheng; Supported by Sichuan Science and Technology Program(2021YFQ0003,2023YFSY0026,2023YFH0004).; At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalizatio...; 关键词：SUPER-RESOLUTION feature extraction dynamic convolution attention mechanism gate control

A Lightweight Network with Dual Encoder and Cross Feature Fusion for Cement Pavement Crack Detection: 《Computer Modeling in Engineering & Sciences》2024年第7期255-273,共19页Zhong Qu Guoqing Mu Bin Yuan; supported by the National Natural Science Foundation of China(No.62176034);the Science and Technology Research Program of Chongqing Municipal Education Commission(No.KJZD-M202300604);the Natural Science Foundation of Chongqing(Nos.cstc2021jcyj-msxmX0518,2023NSCQ-MSX1781).; Automatic crack detection of cement pavement chiefly benefits from the rapid development of deep learning,with convolutional neural networks(CNN)playing an important role in this field.However,as the performance of cr...; 关键词：Shallow feature extraction module large kernel atrous convolution dual encoder lightweight network crack detection

Multi-Level Parallel Network for Brain Tumor Segmentation: 《Computer Modeling in Engineering & Sciences》2024年第4期741-757,共17页Juhong Tie Hui Peng; supported by the Sichuan Science and Technology Program (No.2019YJ0356).; Accurate automatic segmentation of gliomas in various sub-regions,including peritumoral edema,necrotic core,and enhancing and non-enhancing tumor core from 3D multimodal MRI images,is challenging because of its highly...; 关键词：Convolution neural network brain tumor segmentation parallel network

New Antenna Array Beamforming Techniques Based on Hybrid Convolution/Genetic Algorithm for 5G and Beyond Communications: 《Computer Modeling in Engineering & Sciences》2024年第3期2749-2767,共19页Shimaa M.Amer Ashraf A.M.Khalaf Amr H.Hussein Salman A.Alqahtani Mostafa H.Dahshan Hossam M.Kassem; Research Supporting Project Number(RSPD2023R 585),King Saud University,Riyadh,Saudi Arabia.; Side lobe level reduction(SLL)of antenna arrays significantly enhances the signal-to-interference ratio and improves the quality of service(QOS)in recent and future wireless communication systems starting from 5G up t...; 关键词：Array synthesis convolution process genetic algorithm(GA) half power beamwidth(HPBW) linear antenna array(LAA) side lobe level(SLL) quality of service(QOS)

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