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浏览/检索结果: 共304条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序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 LiGAPU: A LiDAR point cloud upsampling network for multiple complex scenes 期刊论文  OAI收割 PATTERN RECOGNITION, 2026, 卷号: 170, 页码: 112132 作者:  Fu, Bolin;  Sui, Mingzhe;  Li, Huajian;  Yang, Fei;  Yao, Hang   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/10/20 LiDAR point cloud  Arbitrary upsampling rates  Dual-stream convolution  Point-to-point distance prediction  Multiple scenes validation  Deep learning   GMF-Net: A Gaussian-Matched Fusion Network for Weak Small Object Detection in Satellite Laser Ranging Imagery 期刊论文  OAI收割 SENSORS, 2026, 卷号: 26, 期号: 2, 页码: 20 作者:  Zhu, Wei;  Gong, Weiming;  Wang, Yong;  Zhang, Yi;  Hu, Jinlong   |  收藏  |  浏览/下载：4/0  |  提交时间：2026/03/24 satellite laser ranging (SLR)  small object detection  lightweight network  GMF-Net  Gaussian-matched convolution   AF-YOLO: Asymptotic Feature Extraction and Fusion for Aerial Object Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2026, 卷号: 36, 期号: 1, 页码: 63-78 作者:  Huang, Lve;  Yu, Xiaowei;  Yan, Huabiao;  Huang, Libo;  An, Zhulin   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/05/25 Feature extraction  YOLO  Head  Videos  Convolution  Accuracy  Proposals  Hands  Fuses  Training  Aerial image  object detection  feature extraction  asymptotic fusion  lightweight model   A RISC-V Extended Infrastructure for CNNs Through Pipelined Computing and Data Dependence Optimization 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2025, 卷号: 44, 期号: 11, 页码: 4141-4154 作者:  Luo, Teng;  Xia, Tengfei;  Chen, Jiayuan;  Fan, Zhihua;  Li, Wenming   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 Artificial intelligence  Convolution  Convolutional neural networks  Computer architecture  Computational efficiency  Pipelines  Logic  Filters  Fans  Biological system modeling  Convolutional neural networks (CNNs) acceleration  dataflow optimization  pipelined computing  RISC-V extended instructions   Accelerating fluid simulations with graph convolution network predicted flow fields 期刊论文  OAI收割 AEROSPACE SCIENCE AND TECHNOLOGY, 2025, 卷号: 164, 页码: 12 作者:  Lim, Wei Xian;  Jessica, Loh Sher En;  Lv Y(吕钰);  Kong, Adams WaiKin;  Chan, Wai Lee   |  收藏  |  浏览/下载：19/0  |  提交时间：2025/08/18 Deep learning  Graph convolution networks  Reynolds-averaged Navier-Stokes simulations  Flow initialization   A 36 mJ/Inf Convolution Accelerator With Reduced Memory Access and Regrouped Sparse Kernels for Environment Sound Classification on Edge Devices 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2025, 卷号: 72, 期号: 9, 页码: 1258-1262 作者:  Feng, Lichen;  Wang, Tao;  Cai, Rundong;  Min, Feng;  Zhu, Zhangming   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 Accuracy  Convolution  Kernel  Computational modeling  Shape  Feature extraction  Timing  Frequency modulation  Power demand  Pipelines  Convolution accelerator  depthwise separable pipeline  environment sound classification  sparse kernel   Modeling Multi-Granularity Context Information Flow for Pavement Crack Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2025, 卷号: 26, 期号: 7, 页码: 9165-9174 作者:  Pang, Junbiao;  Xiong, Baocheng;  Wu, Jiaqi;  Huang, Qingming   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 Feature extraction  Semantics  Heating systems  Context modeling  Noise  Convolution  Asphalt  Semantic segmentation  YOLO  Training  Crack detection  context information  multi-scale  spatial structure   Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images 期刊论文  OAI收割 SENSORS, 2025, 卷号: 25, 期号: 13, 页码: 27 作者:  Jiang, Yu;  Zhao, Jiasen;  Luo, Wei;  Guo, Bincheng;  An, Zhulin   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/03 depthwise separable convolution  graph convolution  road extraction  smart cities  gradient operator  graph reasoning   Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106044 作者:  Wang, Peixiao;  Zhang, Hengcai;  Cheng, Shifen;  Zhang, Tong;  Lu, Feng   |  收藏  |  浏览/下载：42/0  |  提交时间：2025/02/24 Spatiotemporal prediction  Spatiotemporal data missing  Causal dilatation convolution  Graph attention network   Precipitation Nowcasting Based on Radar Echo Images via Multiscale Spatiotemporal LSTM 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 5105614 作者:  Wang, Yueting;  Yao, Ling;  Jiang, Hou;  Liu, Tang;  Lu, Yuxiang   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/08/21 Spatiotemporal phenomena  Precipitation  Radar  Long short term memory  Predictive models  Radar imaging  Forecasting  Extrapolation  Feature extraction  Convolution  Deep learning (DL)  long short-term memory (LSTM)  multiscale spatiotemporal ((MST)-T-2) feature  precipitation nowcasting  radar echo extrapolation