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Deterministic Convergence Analysis for GRU Networks via Smoothing Regularization: 《Computers, Materials & Continua》2025年第5期1855-1879,共25页Qian Zhu Qian Kang Tao Xu Dengxiu Yu Zhen Wang; supported by the National Science Fund for Distinguished Young Scholarship(No.62025602);National Natural Science Foundation of China(Nos.U22B2036,11931015);the Fok Ying-Tong Education Foundation China(No.171105);the Fundamental Research Funds for the Central Universities(No.G2024WD0151);in part by the Tencent Foundation and XPLORER PRIZE.; In this study,we present a deterministic convergence analysis of Gated Recurrent Unit(GRU)networks enhanced by a smoothing L_(1)regularization technique.While GRU architectures effectively mitigate gradient vanishing/...; 关键词：Gated recurrent unit REGULARIZATION convergence

STRICHARTZ AND SMOOTHING ESTIMATES FOR DISPERSIVE SEMI-GROUP e^(-itP(D)) IN WEIGHTED L^(2) SPACES AND THEIR APPLICATIONS: 《Acta Mathematica Scientia》2025年第2期401-415,共15页Jiecheng CHEN Shaolei RU Chenjing WU; supported by the NSFC(12071437);the National Key R&D Program of China(2022YFA1005700).; Combining TT* argument and bilinear interpolation,this paper obtains the Strichartz and smoothing estimates of dispersive semigroup e^(-itP(D)) in weighted L^(2) spaces.Among other things,we recover the results in[1]....; 关键词：Strichartz estimates smoothing estimates Morrey-Campanato class weighted L^(2)spaces WELL-POSEDNESS

A NON-MONOTONE SMOOTHING NEWTON ALGORITHM FOR SOLVING THE SYSTEM OF GENERALIZED ABSOLUTE VALUE EQUATIONS: 《Journal of Computational Mathematics》2025年第2期438-460,共23页Cairong Chen Dongmei Yu Deren Han Changfeng Ma; supported by the Natural Science Foundation of Fujian Province(Grant No.2021J01661);by the National Natural Science Foundation of China(Grant No.11901024);supported by the National Natural Science Foundation of China(Grant No.12201275);by the Ministry of Education in China of Humanities and Social Science Project(Grant No.21YJCZH204);by the Liaoning Provincial Department of Education(Grant No.JYTZD2023072);supported by the National Natural Science Foundation of China(Grant No.12131004);by the Ministry of Science and Technology of China(Grant No.2021YFA1003600);supported by the National Key Research and Development Program of China(Grant No.2019YFC0312003).; The system of generalized absolute value equations(GAVE)has attracted more and more attention in the optimization community.In this paper,by introducing a smoothing function,we develop a smoothing Newton algorithm wit...; 关键词：Generalized absolute value equations Smoothing function Smoothing Newton algorithm Non-monotone line search Global and local quadratic convergence

An intelligent mesh-smoothing method with graph neural networks: 《Frontiers of Information Technology & Electronic Engineering》2025年第3期367-384,共18页Zhichao WANG Xinhai CHEN Junjun YAN Jie LIU; supported by the National Key Research and Development Program of China(No.2021YFB0300101);the Youth Foundation of National University of Defense Technology,China(No.ZK2023-11);the National Natural Science Foundation of China(No.12102467)。; In computational fluid dynamics(CFD),mesh-smoothing methods are widely used to refine the mesh quality for achieving high-precision numerical simulations.Specifically,optimization-based smoothing is used for high-qual...; 关键词：Unstructured mesh Mesh smoothing Graph neural network Optimization-based smoothing

Steel Surface Defect Detection Using Learnable Memory Vision Transformer: 《Computers, Materials & Continua》2025年第1期499-520,共22页Syed Tasnimul Karim Ayon Farhan Md.Siraj Jia Uddin; funded by Woosong University Academic Research 2024.; This study investigates the application of Learnable Memory Vision Transformers(LMViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as o...; 关键词：Learnable Memory Vision Transformer(LMViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

Well Logging Stratigraphic Correlation Algorithm Based on Semantic Segmentation: 《Applied Geophysics》2024年第4期650-666,878,共18页Wang Cai-zhi Wei Xing-yun Pan Hai-xia Han Lin-feng Wang Hao Wang Hong-qiang Zhao Han; supported by the CNPC Advanced Fundamental Research Projects(No.2023ycq06).; Well logging curves serve as indicators of strata attribute changes and are frequently utilized for stratigraphic analysis and comparison.Deep learning,known for its robust feature extraction capabilities,has seen con...; 关键词：Well logging curve stratigraphic comparison Semantic segmentation Label smoothing Attention mechanism

Hybrid CBAM-EfficientNetV2 Fire Image Recognition Method with Label Smoothing in Detecting Tiny Targets: 《Machine Intelligence Research》2024年第6期1145-1161,共17页Bo Wang Guozhong Huang Haoxuan Li Xiaolong Chen Lei Zhang Xuehong Gao; National Key Research and Development Program of China(No.2021YFC1523502-03);Fundamental Research Funds for the Central Universities,China(No.FRF-IDRY-21-016).; Image fire recognition is of great significance in fire prevention and loss reduction through early fire detection and warning.Aiming at the problems of low accuracy of existing fire recognition and high error rate of...; 关键词：Fire recognition tiny target detection efficientNetV2 label smoothing convolutional block attention module(CBAM)

A Class of Smoothing-regularization Methods to Mathematical Programs with Vanishing Constraints: 《数学进展》2024年第5期953-973,共21页HU Qingjie MA Lili CHEN Yu; Supported in part by NSFC(No.11961011);Guangxi Science and Technology Base and Talents Special Project(No.2021AC06001).; this paper,we propose a class of smoothing-regularization methods for solving the mathematical programming with vanishing constraints.These methods include the smoothing-regularization method proposed by Kanzow et al....; 关键词：mathematical programs with vanishing constraints smoothing-regularization method VC-MFCQ strong stationary point

Few-shot image recognition based on multi-scale features prototypical network: 《High Technology Letters》2024年第3期280-289,共10页LIU Jiatong DUAN Yong; the Scientific Research Foundation of Liaoning Provincial Department of Education(No.LJKZ0139);the Program for Liaoning Excellent Talents in University(No.LR15045).; In order to improve the models capability in expressing features during few-shot learning,a multi-scale features prototypical network(MS-PN)algorithm is proposed.The metric learning algo-rithm is employed to extract i...; 关键词：few-shot learning multi-scale feature prototypical network channel attention label-smoothing

Joint training with local soft attention and dual cross-neighbor label smoothing for unsupervised person re-identification: 《Computational Visual Media》2024年第3期543-558,共16页Qing Han Longfei Li Weidong Min Qi Wang Qingpeng Zeng Shimiao Cui Jiongjin Chen; supported by the National Natural Science Foundation of China under Grant Nos.62076117 and 62166026;the Jiangxi Key Laboratory of Smart City under Grant No.20192BCD40002;Jiangxi Provincial Natural Science Foundation under Grant No.20224BAB212011.; Existing unsupervised person re-identification approaches fail to fully capture thefine-grained features of local regions,which can result in people with similar appearances and different identities being assigned the...; 关键词：person re-identification(Re-ID) unsupervised learning(USL) local soft attention joint training dual cross-neighbor label smoothing(DCLS)

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