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浏览/检索结果: 共129条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Deep convolutional neural network based on self-distillation for tool wear recognition 期刊论文  OAI收割 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12 作者:  Pan, Yi;  Hao, Ling;  He, Jianliang;  Ding, Kun;  Yu, Qiang   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/03/27 Tool fault diagnosis  Mobile inspection robots  Self-distillation  Industry 4.0  Deep learning   A Lightweight Remote Sensing Aircraft Object Detection Network Based on Improved YOLOv5n 期刊论文  OAI收割 Remote Sensing, 2024, 卷号: 16, 期号: 5 作者:  Wang, Jiale;  Bai, Zhe;  Zhang, Ximing;  Qiu, Yuehong   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/05/22 deep learning  lightweight network  YOLOv5n  Shufflenet v2  CA  EIoU loss  deformable convolution   A lightweight spatiotemporal graph dilated convolutional network for urban sensor state prediction 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2024, 卷号: 101, 页码: 105105 作者:  Wang, Peixiao;  Zhang, Hengcai;  Cheng, Shifen;  Zhang, Tong;  Lu, Feng   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/02/05 Urban computing  Causal dilated convolution  Graph dilated convolution  Spatiotemporal prediction   Efficient Remote Sensing Image Super-Resolution via Lightweight Diffusion Models 期刊论文  OAI收割 IEEE Geoscience and Remote Sensing Letters, 2024, 卷号: 21, 页码: 1-5 作者:  An T(安泰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/01/17 Remote sensing super-resolution  lightweight diffusion models  cross-attention mechanism  satellite imagery   A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition 期刊论文  OAI收割 NUTRIENTS, 2024, 卷号: 16, 期号: 2, 页码: 16 作者:  Sheng, Guorui;  Min, Weiqing;  Zhu, Xiangyi;  Xu, Liang;  Sun, Qingshuo   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/05/20 food recognition  lightweight  global feature  ViT  nutrition management   The design and implementation of a distributed agricultural service system for smallholder farmers in China 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF AGRICULTURAL SUSTAINABILITY, 2023, 卷号: 21, 期号: 1, 页码: 20 作者:  Hua, Jing;  Wang, Haoyu;  Kang, Mengzhen;  Wang, Xiujuan;  Guo, Shaoxin   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/11/17 Crop planning  IoT  management system  parallel agriculture  agricultural cyber-physical-social-system (CPSS)  intelligent decision support  social capital   A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 17, 期号: 1, 页码: 168988 作者:  Lu, Wei;  Hu, Yunfeng;  Shao, Wei;  Wang, Hao;  Zhang, Zuopei   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/02/05 Landslide detection  multi-scale feature fusion  attention mechanism  convolutional neural network  remote sensing   A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China 期刊论文  OAI收割 ORE GEOLOGY REVIEWS, 2023, 卷号: 163, 页码: 20 作者:  Zhang, Baoyi;  Xu, Kun;  Khan, Umair;  Li, Xuefeng;  Du, Linze   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/01/23 3D geological models  Convolutional neural networks  Deconvolution  Weight of evidence  3D mineral prospectivity modeling   Color-Unrelated Head-Shoulder Networks for Fine-Grained Person Re-identification 期刊论文  OAI收割 ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 21 作者:  Xu, Boqiang;  Liang, Jian;  He, Lingxiao;  Wu, Jinlin;  Fan, Chao   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/17 Person re-identification  fine-grained matching  visual surveillance   Soft Error Reliability Analysis of Vision Transformers 期刊论文  OAI收割 IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2023, 页码: 11 作者:  Xue, Xinghua;  Liu, Cheng;  Wang, Ying;  Yang, Bing;  Luo, Tao   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04 ABFT  fault-tolerance  soft errors  vision transformers (ViTs)  vulnerability analysis