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浏览/检索结果: 共51条，第1-10条 帮助 限定条件 发表日期：2023     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46 作者:  Zhang, Lei;  Park, Chanwook;  Lu, Ye;  Li, Hengyang;  Mojumder, Satyajit 收藏  |  浏览/下载：2/0  |  提交时间：2024/01/08 Convolution isogeometric analysis (C-IGA)  Convolution hierarchical deep-learning neural network (C-hiDeNN)  Software 2.0  r-h-p-s-a adaptive finite element method (FEM)  High-order smoothness and convergence   Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12 作者:  Liu, Yabo;  Wang, Jinghua;  Xiao, Linhui;  Liu, Chengliang;  Wu, Zhihao 收藏  |  浏览/下载：2/0  |  提交时间：2024/02/22 Curriculum learning  domain adaptive object detection  location metric  task disentanglement   Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13 作者:  Qu, Jingxiang;  Liu, Ryan Wen;  Zhao, Chenjie;  Guo, Yu;  Xu, Sendren Sheng-Dong 收藏  |  浏览/下载：0/0  |  提交时间：2024/02/22 Waterborne transportation  intelligent maritime surveillance  vessel draft reading (VDR)  multi-task learning  image segmentation   Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文 NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299 作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai 收藏  |  浏览/下载：0/0  |  提交时间：2023/12/21 H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven   Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks 期刊论文 SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 13 作者:  Pan, Wenxuan;  Zhao, Feifei;  Zeng, Yi;  Han, Bing 收藏  |  浏览/下载：2/0  |  提交时间：2023/12/21 Adaptive transfer learning for PINN 期刊论文 Journal of Computational Physics, 2023, 卷号: 490, 页码: 1 - 29 作者:  Liu Y(刘洋);  Liu W(刘文);  Yan XS;  Guo SQ(郭帅旗);  Zhang CA(张陈安) 收藏  |  浏览/下载：12/0  |  提交时间：2023/08/21 AFCANet: An adaptive feature concatenate attention network for multi-focus image fusion 期刊论文 JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 卷号: 35, 期号: 9, 页码: 22 作者:  Liu, Shuaiqi;  Peng, Weijian;  Liu, Yali;  Zhao, Jie;  Su, Yonggang 收藏  |  浏览/下载：7/0  |  提交时间：2023/11/15 Multi -focus image fusion  Unsupervised training  Adaptive feature concatenate  Attention module   MD-YOLO: Multi-scale Dense YOLO for small target pest detection 期刊论文 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 213, 页码: 12 作者:  Tian, Yunong;  Wang, Shihui;  Li, En;  Yang, Guodong;  Liang, Zize 收藏  |  浏览/下载：10/0  |  提交时间：2023/11/16 Pest detection  Deep learning  Computer vision  Internet of Things  Precision agriculture   A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning 期刊论文 ACM TRANSACTIONS ON GRAPHICS, 2023, 卷号: 42, 期号: 5, 页码: 16 作者:  Zhang, Yuxin;  Tang, Fan;  Dong, Weiming;  Huang, Haibin;  Ma, Chongyang 收藏  |  浏览/下载：1/0  |  提交时间：2023/12/21 Arbitrary style transfer  contrastive learning  style encoding   Predicting continuum breakdown with deep neural networks 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278 作者:  Xiao TB(肖天白);  Schotthoefer, Steffen;  Frank, Martin 收藏  |  浏览/下载：14/0  |  提交时间：2023/09/05 Computational fluid dynamics  Kinetic theory  Boltzmann equation  Multi-scale method  Deep learning