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>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
An Efficient Instance Segmentation Based on Layer Aggregation and Lightweight Convolution
《Computers, Materials & Continua》2025年第4期1041-1055,共15页Hui Jin Shuaiqi Xu Chengyi Duan Ruixue He Ji Zhang 
supported by Science and Technology Research Youth Project of Chongqing Municipal Education Commission(No.KJQN202301104);Cooperative Project between universities in Chongqing and Affiliated Institutes of Chinese Academy of Sciences(No.HZ2021011);Chongqing Municipal Science and Technology Commission Technology Innovation and Application Development Special Project(No.2022TIAD-KPX0040);Action Plan for Quality Development of Chongqing University of Technology Graduate Education(Grant No.gzlcx20242014).
Instance segmentation is crucial in various domains,such as autonomous driving and robotics.However,there is scope for improvement in the detection speed of instance-segmentation algorithms for edge devices.Therefore,...
关键词：Automatic driving CONVOLUTION deep learning real-time instance segmentation 
High-Quality Single-Pixel Imaging Based on Large-Kernel Convolution under Low-Sampling Conditions
《Chinese Physics Letters》2025年第4期55-61,共7页Chenyu Yuan Yuanhao Su Chunfang Wang 
In recent years,deep learning has been introduced into the field of Single-pixel imaging(SPI),garnering significant attention.However,conventional networks still exhibit limitations in preserving image details.To addr...
关键词：large kernel convolution lkconv recover image details U lkconv network high quality single pixel imaging U Net low sampling conditions enhanced network structure large kernel convolution 
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 
Quantum convolution inequalities on Frobenius von Neumann algebras
《Science China Mathematics》2025年第3期615-636,共22页Linzhe Huang Zhengwei Liu Jinsong Wu 
supported by Beijing Municipal Science&Technology Commission,Administrative Commission of Zhongguancun Science Park(Grant No.Z221100002722017);supported by grants from Beijing Institute of Mathematical Sciences and Applications;supported by China’s National Key R&D Programmes(Grant No.2020YFA0713000);Tsinghua University(Grant No.04200100122);Templeton Religion Trust(TRT 159);supported by Beijing Natural Science Foundation Key Program(Grant No.Z220002);supported by National Natural Science Foundation of China(Grant Nos.12031004 and 12371124)。
In this paper,we introduce Frobenius von Neumann algebras and study quantum convolution inequalities.In this framework,we unify quantum Young's inequality on quantum symmetries such as subfactors,and fusion bi-algebra...
关键词：Frobenius von Neumann algebra quantum Young's inequality quantum entropic convolution inequality unitary categorification 
Handoff algorithm of high-speed railway wireless communication based on CNN-WaveNet
《Journal of Measurement Science and Instrumentation》2025年第1期47-57,共11页ZHAO Rongrong LI Cuiran XIE Jianli ZHANG Zepeng 
supported by National Natural Science Foundation of China(Nos.62161016,61661025);Gansu Provincial Science and Technology Plan(No.20JR10RA273)。
In order to ensure the uninterrupted communication between high-speed train and base station,driving safety and satisfying online experience of passengers,a dual-link switching algorithm based on CNN-WaveNet decision ...
关键词：high-speed railway(HSR) HANDOVER wireless communication convolution neural network(CNN) 
Calculation of Compound Hazard Probability Using Convolution of Distributions
《Atmospheric and Climate Sciences》2025年第1期1-19,共19页Luis Augusto Sanabria 
The hazard produced by natural phenomena on infrastructure and urban populations has been widely studied in the last 50 years. Researchers have recognised that the real danger posed by these phenomena depends on their...
关键词：Natural Hazards Compound Extremes Mathematical Convolution 
Deep Convolution Neural Networks for Image-Based Android Malware Classification
《Computers, Materials & Continua》2025年第3期4093-4116,共24页Amel Ksibi Mohammed Zakariah Latifah Almuqren Ala Saleh Alluhaidan 
funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,through the Research Funding Program,Grant No.(FRP-1443-15).
The analysis of Android malware shows that this threat is constantly increasing and is a real threat to mobile devices since traditional approaches,such as signature-based detection,are no longer effective due to the ...
关键词：Android malware detection deep convolutional neural network(DCNN) image processing CIC-AndMal2017 dataset exploratory data analysis VGG16 model 
Robust Image Forgery Localization Using Hybrid CNN-Transformer Synergy Based Framework
《Computers, Materials & Continua》2025年第3期4691-4708,共18页Sachin Sharma Brajesh Kumar Singh Hitendra Garg 
Image tampering detection and localization have emerged as a critical domain in combating the pervasive issue of image manipulation due to the advancement of the large-scale availability of sophisticated image editing...
关键词：Image tampering convolution neural network(CNN) HYBRID TRANSFORMER LOCALIZATION 
Blur-Deblur Algorithm for Pressure-Sensitive Paint Image Based on Variable Attention Convolution
《Computers, Materials & Continua》2025年第3期5239-5256,共18页Ruizhe Yu Tingrui Yue Lei Liang Zhisheng Gao 
supported by the National Natural Science Foundation of China(No.12202476).
In the PSP(Pressure-Sensitive Paint),image deblurring is essential due to factors such as prolonged camera exposure times and highmodel velocities,which can lead to significant image blurring.Conventional deblurring m...
关键词：Pressure-sensitive paint deep learning image deblurring typeset variable attention convolution 
全选清除导出
共63页<12345678910>
检索报告 对象比较 聚类工具 使用帮助 返回顶部