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	AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15 作者: Fang, Shen; Zhang, Chunxia; Xiang, Shiming; Pan, Chunhong 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/02/22 Deep learning neural architecture search graph convolution meta-learning traffic flow prediction
	Intraoperative Glioma Grading Using Neural Architecture Search and Multi-Modal Imaging 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 10, 页码: 2570-2581 作者: Xiao, Anqi; Shen, Biluo; Shi, Xiaojing; Zhang, Zhe; Zhang, Zeyu 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/11/14 Imaging Computer architecture Fluorescence Feature extraction Surgery Biomedical imaging Medical diagnostic imaging Deep learning glioma grading intraoperative imaging multi-modal imaging neural architecture search NIR-II fluorescence imaging
	A shape-guided deep residual network for automated CT lung segmentation 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 250, 页码: 10 作者: Yang, Lei; Gu, Yuge; Huo, Benyan; Liu, Yanhong; Bian, Guibin 收藏 \| 浏览/下载：49/0 \| 提交时间：2022/09/19 Deep network architecture Medical image analysis Shape stream network Residual unit Attention fusion unit
	PLE-Net: Automatic power line extraction method using deep learning from aerial images 期刊论文 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 198, 页码: 9 作者: Yang, Lei; Fan, Junfeng; Huo, Benyan; Li, En; Liu, Yanhong 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/07/25 Power line extraction Deep architecture Image segmentation Multi-scale attention module
	A nondestructive automatic defect detection method with pixelwise segmentation 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12 作者: Yang, Lei; Fan, Junfeng; Huo, Benyan; Li, En; Liu, Yanhong 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/06/10 Defect detection Deep architecture Image segmentation Attention fusion Residual dense connection convolution network
	Vision-Based Power Line Segmentation With an Attention Fusion Network 期刊论文 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205 作者: Yang, Lei; Fan, Junfeng; Xu, Shuai; Li, En; Liu, Yanhong 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/07/25 Power transmission lines Inspection Feature extraction Sensors Image segmentation Navigation Vision sensors Power line extraction deep network architecture image segmentation multi-scale feature fusion attention module
	Image Denoising of Seam Images With Deep Learning for Laser Vision Seam Tracking 期刊论文 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6098-6107 作者: Yang, Lei; Fan, Junfeng; Huo, Benyan; Li, En; Liu, Yanhong 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/06/10 Welding Laser noise Sensors Robots Laser modes Feature extraction Lasers Deep network architecture image denoising seam tracking robot welding structured light vision
	A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors 期刊论文 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6164-6174 作者: Tong, Lina; Ma, Hanghang; Lin, Qianzhi; He, Jiaji; Peng, Liang 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/10 Sensors Feature extraction Deep learning Inertial sensors Data mining Convolutional neural networks Accelerometers Human activity recognition (HAR) inertial sensor deep learning Bi-GRU inception architecture
	Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文 ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14 作者: Xinbang Zhang; Qizhao Jin; Tingzhao Yu; Shiming Xiang; Qiuming Kuang 收藏 \| 浏览/下载：19/0 \| 提交时间：2022/07/01 Meterological forecasting Deep learning Neural architecture search AutoML
	A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12 作者: Jin, Junchen; Rong, Dingding; Zhang, Tong; Ji, Qingyuan; Guo, Haifeng 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/06/06 Roads Predictive models Data models Recurrent neural networks Generators Computer architecture Deep learning Short-term link speed prediction signalized urban networks Wasserstein generative adversarial network

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