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作品数：215被引量：237H指数：6
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SEFormer:A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis被引量：1
《Computers, Materials & Continua》2025年第1期1417-1437,共21页Hongxing Wang Xilai Ju Hua Zhu Huafeng Li 
supported by the National Natural Science Foundation of China(No.52277055).
Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals,which has certain limitations.Conversely,deep learning techniques have gained promine...
关键词：CNN-Transformer separable multiscale depthwise convolution efficient self-attention fault diagnosis 
A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection
《Computers, Materials & Continua》2025年第1期521-542,共22页Xiaoyun Chen Lanyao Zhang Xiaoling Chen Yigang Cen Linna Zhang Fugui Zhang 
supported in part by the National Natural Science Foundation of China under Grants 62463002,62062021 and 62473033;in part by the Guiyang Scientific Plan Project[2023]48–11,in part by QKHZYD[2023]010 Guizhou Province Science and Technology Innovation Base Construction Project“Key Laboratory Construction of Intelligent Mountain Agricultural Equipment”.
Solar cell defect detection is crucial for quality inspection in photovoltaic power generation modules.In the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it cha...
关键词：Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block 
A Dangerous Driving Behaviors Detection Method for Car Driver Based on Improved YOLOv7 Model
《Journal of Computer and Communications》2024年第12期289-317,共29页Md Tariqul Islam Akash Joarder Md Niaz Ahmed 
The basic theory of YOLO series object detection algorithms is discussed, the dangerous driving behavior dataset is collected and produced, and then the YOLOv7 network is introduced in detail, the deep separable convo...
关键词：Dangerous Driving Behaviors Object Detection YOLOv7 Separable Convolution CA Attention Mechanism 
Microstructures,Optical,magnetic Properties,and photocatalytic activity of magnetically separable and reusable ZnO-Doped Fe_(3)O_(4)/rGO nanocomposite synthesized via green route
《Carbon Resources Conversion》2024年第4期10-30,共21页Hasniah Aliah Nugraheni Puspita Rini Irfan Syafar Farouk Zurnansyah Larrisa Jestha Mahardhika Putri Dwi Jayanti Hafil Perdana Kusumah Rivaldo Marsel Tumbelaka Nurul Imani Istiqomah Nining Sumawati Asri Ryan Nur Iman Edi Suharyadi 
funded by the grant of the Ministry of Religious Affairs,Republic of Indonesia through the grant of Universitas Islam Negeri Sunan Gunung Djati Bandung 2024;the Scholarship Program of Indonesia Endowment Fund for Education(LPDP),Ministry of Finance,Republic of Indonesia;and National Research and Innovation Agency(BRIN),Republic of Indonesia 2023-2024.
We report magnetically-separable,reusable,green-synthesized Fe_(3)O_(4)/rGO/ZnO,as heterogeneous catalyst for photo-Fenton degradation of organic pollutants in aqueous solution under certain treatments.Fe_(3)O_(4)nano...
关键词：Photocatalytic activity Methylene blue REUSABILITY Green synthesis Fe_(3)O_(4)/rGO/ZnO 
Data-driven surrogate model for aerodynamic design using separable shape tensor method
《Chinese Journal of Aeronautics》2024年第9期41-58,共18页Bo PANG Yang ZHANG Junlin LI Xudong WANG Min CHANG Junqiang BAI 
supported by the National Natural Science Foundation of China (No.92371201).
In the context of increasing dimensionality of design variables and the complexity of constraints, the efficacy of Surrogate-Based Optimization(SBO) is limited. The traditional linear and nonlinear dimensionality redu...
关键词：Aerodynamicdesign Grassmannian manifold Shape parameterization Surrogate-based optimiza-tion Data dimensionality reduction 
Vehicle Head and Tail Recognition Algorithm for Lightweight DCDSNet
《Computers, Materials & Continua》2024年第9期4451-4473,共23页Chao Wang Kaijie Zhang Xiaoyong Yu Dejun Li Wei Xie Xinqiao Wang 
supported by the open project of National Local Joint Engineering Research Center for Agro-Ecological Big Data Analysis and Application Technology,“Adaptive Agricultural Machinery Motion Detection and Recognition in Natural Scenes”,AE202210;By the school-level key discipline of Suzhou University in China with No.2019xjzdxk1;2022 Anhui Province College Research Program Project of the Suzhou Vocational College of Civil Aviation,No.2022AH053155.
In the model of the vehicle recognition algorithm implemented by the convolutional neural network,the model needs to compute and store a lot of parameters.Too many parameters occupy a lot of computational resources ma...
关键词：VGGNet vehicle head and tail recognition densely connected depthwise separable convolutional 
Pyramid Separable Channel Attention Network for Single Image Super-Resolution
《Computers, Materials & Continua》2024年第9期4687-4701,共15页Congcong Ma Jiaqi Mi Wanlin Gao Sha Tao 
supported by Beijing Municipal Science and Technology Project(No.Z221100007122003).
Single Image Super-Resolution(SISR)technology aims to reconstruct a clear,high-resolution image with more information from an input low-resolution image that is blurry and contains less information.This technology has...
关键词：Deep learning single image super-resolution ARTIFACTS texture details 
基于常循环码的纠缠辅助量子Maximum-Distance-Separable码的构造
《大学数学》2024年第4期7-16,共10页刘航宇 王立启 
国家自然科学基金(12271137)。
纠缠辅助量子纠错码可以看作是经典量子纠错码的引申,其与经典量子纠错码的差别在于,如果发送者和接收者双方提前共享纠缠态,在不满足对偶包含的的情况下也可以由任意经典线性码构造出来.本文通过研究分圆陪集的结构性质,利用常循环码...
关键词：纠缠辅助量子纠错码 常循环码 分圆陪集 MDS码 
An improved lightweight network based on deep learning for grape recognition in unstructured environments被引量：4
《Information Processing in Agriculture》2024年第2期202-216,共15页Bingpiao Liu Yunzhi Zhang Jinhai Wang Lufeng Luo Qinghua Lu Huiling Wei Wenbo Zhu 
the National Natural Science Foundation of Chima(32171909,51705365);Guangdong Basic and Applied Basic Research Foundation(2020B1515120050,2019A1515110304);NationalNatural Science Foundation of Guangdong(2023A1515011255);Yunfu Science and Technology Plan Project(2021A090103);Key Fields of Universities in Guangdong Province(2022ZDZX309).
In unstructured environments,dense grape fruit growth and the presence of occlusion cause difficult recognition problems,which will seriously affect the performance of grape picking robots.To address these problems,th...
关键词：YOLOX Grape recognition Depthwise separable convolution Res Block-M AINET 
Remaining Useful Life Prediction of Rail Based on Improved Pulse Separable Convolution Enhanced Transformer Encoder
《Journal of Transportation Technologies》2024年第2期137-160,共24页Zhongmei Wang Min Li Jing He Jianhua Liu Lin Jia 
In order to prevent possible casualties and economic loss, it is critical to accurate prediction of the Remaining Useful Life (RUL) in rail prognostics health management. However, the traditional neural networks is di...
关键词：Equipment Health Prognostics Remaining Useful Life Prediction Pulse Separable Convolution Attention Mechanism Transformer Encoder 
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