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Probabilistic simulation of electricity price scenarios using Conditional Generative Adversarial Networks: 《Energy and AI》2024年第4期110-123,共14页Viktor Walter Andreas Wagner; supported by the German Federal Ministry of Education and Research[grant 13FH587KX1](FederatedF orecasts).; A novel approach for generative time series simulation of electricity price scenarios is presented.A"Time Series Simulation Conditional Generative Adversarial Network"(TSS-CGAN)generates short-term electricity price s...; 关键词：Time series simulation Probabilistic modeling Day-ahead electricity prices 1D convolutions Bidirectional long short-term memory Generative adversarial networks

How graph convolutions amplify popularity bias for recommendation?: 《Frontiers of Computer Science》2024年第5期121-132,共12页Jiajia CHEN Jiancan WU Jiawei CHEN Xin XIN Yong LI Xiangnan HE; This work was supported by the National Key R&D Program of China(2021ZD0111802);the National Natural Science Foundation of China(Grant No.19A2079);the CCCD Key Lab of Ministry of Culture and Tourism.; Graphconvolutional networks(GCNs)have become prevalent in recommender system(RS)due to their superiority in modeling collaborative patterns.Although improving the overall accuracy,GCNs unfortunately amplify popularity...; 关键词：RECOMMENDATION graph convolution networks popularity bias

Recognition of Bird Species of Yunnan Based on Improved ResNet18: 《Intelligent Automation & Soft Computing》2024年第5期889-905,共17页Wei Yang Ivy Kim D.Machica; Birds play a crucial role in maintaining ecological balance,making bird recognition technology a hot research topic.Traditional recognition methods have not achieved high accuracy in bird identification.This paper pro...; 关键词：Bird species recognition ResNet18 depth-wise separable convolutions

Rankin-Selberg convolutions for GL(n)×GL(n)and GL(n)×GL(n-1)for principal series representations: 《Science China Mathematics》2023年第10期2203-2218,共16页Jian-Shu Li Dongwen Liu Feng Su Binyong Sun; supported by the Natural Science Foundation of Zhejiang Province(Grant No.LZ22A010006);National Natural Science Foundation of China(Grant No.12171421);Feng Su was supported by National Natural Science Foundation of China(Grant No.11901466);the Qinglan Project of Jiangsu Province;supported by the National Key Research and Development Program of China(Grant No.2020YFA0712600).; Let k be a local field.Let I_(v) and I_(v′)be smooth principal series representations of GLn(k)and GL_(n-1)(k),respectively.The Rankin-Selberg integrals yield a continuous bilinear map I_(v)×I_(v′)→C with a certai...; 关键词：principal series representation Rankin-Selberg convolution L-FUNCTION

Some Implications of the Gessel Identity: 《Applied Mathematics》2023年第9期545-579,共35页Claire Levaillant; We generalize the congruences of Friedmann-Tamarkine (1909), Lehmer (1938), and Ernvall-Metsänkyla (1991) on the sums of powers of integers weighted by powers of the Fermat quotients to the next Fermat quotient power,...; 关键词：Convolutions Involving Bernoulli Numbers Truncated Convolutions Involving Bernoulli Numbers CONGRUENCES Binomial and Multinomial Convolutions of Divided Bernoulli Numbers Multiple Harmonic Sums Generalized Harmonic Numbers Miki Identity Gessel Identity Sums of Powers of Integers Weighted by Powers of the Fermat Quotients Generalization of Kummer’s Congruences Generalizations of Friedmann-Tamarkine Lehmer Ernvall-Metsänkyla’s Congruences p-Adic Numbers Weighted Sums of Powers of Integers

A Hybrid CNN for Image Denoising被引量：5: 《Journal of Artificial Intelligence and Technology》2022年第3期93-99,共7页Menghua Zheng Keyan Zhi Jiawen Zeng Chunwei Tian Lei You; supported in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2021A1515110079;in part by the Fundamental Research Funds for the Central Universities under Grant D5000210966;in part by the Basic Research Plan in Taicang under Grant TC2021JC23.; Deep convolutional neural networks(CNNs)with strong learning abilities have been used in the field of image denoising.However,some CNNs depend on a single deep network to train an image denoising model,which will have...; 关键词：CNN dilated convolutions image denoising RepVGG

Multi-layer dynamic and asymmetric convolutions: 《High Technology Letters》2022年第3期227-236,共10页LUO Chunjie ZHAN Jianfeng; Supported by the National Key Research and Development Program of China(No.2016YFB1000601);the Standardization Pilot Research Project of Chinese Academy of Sciences(No.20194620)。; Dynamic networks have become popular to enhance the model capacity while maintaining efficient inference by dynamically generating the weight based on over-parameters.They bring much more parameters and increase the d...; 关键词：neural network dynamic network ATTENTION image classification

Studying the Two New Convolutions of Fractional Fourier Transform by Using Dirac Notation: 《Journal of Contemporary Educational Research》2022年第5期38-47,共10页Ying Cai Cuihong Lv Nan Huang Nan Jin; National Natural Science Foundation of China(Grant Number:11304126);College Students' Innovation Training Program(Grant Number:202110299696X)。; Based on quantum mechanical representation and operator theory,this paper restates the two new convolutions of fractional Fourier transform(FrFT)by making full use of the conversion relationship between two mutual con...; 关键词：Fractional Fourier transform Convolution theorem Quantum mechanical representation Dirac notation

Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions被引量：1: 《Machine Intelligence Research》2022年第2期115-126,共12页Zhiqiang Chen Ting-Bing Xu Jinpeng Li Huiguang He; supported by National Natural Science Foundation of China(Nos.61976209 and 62020106015);CAS International Collaboration Key Project(No.173211KYSB20190024);Strategic Priority Research Program of CAS(No.XDB32040000)。; The convolution operation possesses the characteristic of translation group equivariance. To achieve more group equivariances, rotation group equivariant convolutions(RGEC) are proposed to acquire both translation and...; 关键词：Convolutional neural networks(CNNs) group equivariance higher-degree weight sharing parameter efficiency

DcNet: Dilated Convolutional Neural Networks for Side-Scan Sonar Image Semantic Segmentation被引量：2: 《Journal of Ocean University of China》2021年第5期1089-1096,共8页ZHAO Xiaohong QIN Rixia ZHANG Qilei YU Fei WANG Qi HE Bo; This work is partially supported by the Natural Key Research and Development Program of China(No.2016YF C0301400).; In ocean explorations,side-scan sonar(SSS)plays a very important role and can quickly depict seabed topography.As-sembling the SSS to an autonomous underwater vehicle(AUV)and performing semantic segmentation of an SSS...; 关键词：side-scan sonar(SSS) semantic segmentation dilated convolutions SUPER-RESOLUTION

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