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浏览/检索结果: 共2036条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29 作者:  Wang, Chunyang;  Yang, Kui;  Yang, Wei;  Li, Runkui;  Qiang, Haiyang   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/02/19 Residual network  graph attention network  super-pixel segmentation  habitat quality  driving force analysis   CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 19 作者:  Wang, Lei;  Ye, Cheng;  Chen, Fang;  Wang, Ning;  Li, Congrong   |  收藏  |  浏览/下载：21/0  |  提交时间：2024/03/04 Built-up area  deep learning  remote sensing image  SDGSAT-1  semantic segmentation   Key-Part Attention Retrieval for Robotic Object Recognition 期刊论文  OAI收割 TSINGHUA SCIENCE AND TECHNOLOGY, 2024, 卷号: 29, 期号: 3, 页码: 644-655 作者:  Liu, Jierui   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/02/22 Training  Visualization  Image recognition  Cameras  Object recognition  Convolutional neural networks  Data mining  key-part attention  retrieval  robotic object recognition   A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion 期刊论文  OAI收割 RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 245, 页码: 21 作者:  Mao, Yixuan;  Li, Xiaorong;  Duan, Menglan;  Feng, Yongcun;  Wang, Jinjia   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/04/29 Mooring line anomaly detection  Residual network  Feature fusion  Semi-submersible platform   Default mode network shows distinct emotional and contextual responses yet common effects of retrieval demands across tasks 期刊论文  OAI收割 HUMAN BRAIN MAPPING, 2024, 卷号: 45, 期号: 7, 页码: 17 作者:  Souter, Nicholas E.;  de Freitas, Antonia;  Zhang, Meichao;  Shao, Ximing;  Alam, Tirso Rene del Jesus Gonzalez   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/27 association  context  default  emotion  gradient  semantic  switch   Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges 期刊论文  OAI收割 WASTE MANAGEMENT, 2024, 卷号: 178, 页码: 155-167 作者:  Huang, Li-ting;  Hou, Jia-yi;  Liu, Hong-tao   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/05/06 Machine -learning intervention  Organic waste composting  Composting quality  Composting maturity  Aerobic composting   Offline handwritten mathematical expression recognition with graph encoder and transformer decoder 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11 作者:  Tang, Jia-Man;  Guo, Hong-Yu;  Wu, Jin-Wen;  Yin, Fei;  Huang, Lin-Lin   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/02/22 Handwritten mathematical expression recognition  Symbol detection  Graph Neural Network  Transformer   Graph meets probabilistic generation model: A new perspective for graph disentanglement 期刊论文  OAI收割 PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11 作者:  Peng, Zouzhang;  Zheng, Shuai;  Zhu, Zhenfeng;  Liu, Zhizhe;  Cheng, Jian   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/02/22 Graph representation learning  Graph disentanglement  Probabilistic generation model   Effects of escitalopram therapy on effective connectivity among core brain networks in major depressive disorder 期刊论文  OAI收割 JOURNAL OF AFFECTIVE DISORDERS, 2024, 卷号: 350, 页码: 39-48 作者:  Wang, Yun;  Zhou, Jingjing;  Chen, Xiongying;  Liu, Rui;  Zhang, Zhifang   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/04/01 Major depressive disorder  Escitalopram therapy  Resting-state functional magnetic resonance imaging  Spectral dynamic causal modeling  Effective connectivity   Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China 期刊论文  OAI收割 IEEE ACCESS, 2024, 卷号: 12, 页码: 55800-55813 作者:  Fan, Junfu;  Gao, Yu;  Shi, Zongwen;  Li, Ping;  Sun, Guangwei   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/21 Desert area  multiscale  dynamic convolution decomposition  deformable convolution  deep learning  ground object classification