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自动化研究所 [6]

兰州理工大学 [3]

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	A High-Powered Brain Age Prediction Model Based On Convolutional Neural Network 会议论文 Iowa, USA, 2020年4月3日-2020年4月7日作者: Rao, Guangxiang; Li, Ang; Liu, Yong; Liu, Bing 收藏 \| 浏览/下载：24/0 \| 提交时间：2020/06/22 Brain age prediction, structural magnetic resonance image， Convolutional Neural Network, Inception Net, global average pooling
	A Biological Model for Robotic Cognitive Mapping and Global Planning 会议论文 8th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, CYBER 2018, Tianjin, China, 2018-07-19 作者: Cui, Yingxue; Liu, Dong; Zou, Qiang; Cong, Ming; Zhang, Haiyun 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/12/02 Air navigation Brain Cells Cognitive systems Intelligent systems Robot programming Robots, Biological modeling Cognitive mapping Computation model Hippocampal model Neural network model Real environments Spatial cognition Spatial representations, Cytology
	Brain Tumor Segmentation Using an Adversarial Network 会议论文作者: Wang, Yuanyuan; Li, Zeju; Yu, Jinhua 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/05 Brain tumor segmentation Adversarial network Deep learning
	Hubs defined with participation coefficient metric altered following acute mTBI 会议论文作者: Wang, Xiaocui; Sun, Chuanzhu; Wang, Shan; Cao, Jieli; Xu, Hui 收藏 \| 浏览/下载：14/0 \| 提交时间：2019/11/19 Support Vector Machine hub functional brain network mild traumatic brain injury participation coefficient
	Application of long short-term memory neural network for multi-step travel time forecasting on urban expressways 会议论文 CICTP 2017: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation - Proceedings of the 17th COTA International Conference of Transportation Professionals 作者: Zhang, Z.; Wang, Y.; Chen, P.; Yu, G. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Brain Long short-term memory Network architecture Traffic control Travel time Non-parametric algorithm Probe vehicle data State of the art Temporal evolution Time series method Traffic features Travel time forecasting Urban expressway Deep learning
	An Amplitudes-Perturbation Data Augmentation Method in Convolutional Neural Networks for EEG Decoding 会议论文 2018 International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2018 作者: Zhang, X.-R.; Lei, M.-Y.; Li, Y. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Brain computer interface Convolution Cutting tools Decoding Deep learning Electroencephalography Electrophysiology Frequency domain analysis Neural networks Perturbation techniques Convolutional neural network Data augmentation Frequency domains Learning models Neural information Number of samples Signal recognition State of the art Biomedical signal processing
	A hybrid deep learning approach for urban expressway travel time prediction considering spatial-temporal features 会议论文 IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 作者: Zhang, Z.; Chen, P.; Wang, Y.; Yu, G. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/30 Brain Convolution Forecasting Highway traffic control Intelligent systems Intelligent vehicle highway systems Long short-term memory Traffic congestion Travel time Convolution neural network Convolutional neural network Learning neural networks Non-parametric algorithm Spatial-temporal features Temporal correlations Travel time forecasting Travel time prediction Deep learning
	Improving Learning Efficiency of Recurrent Neural Network through Adjusting Weights of All Layers in a Biologically-inspired Framework 会议论文 Anchorage, AK, USA, 2017-5-14 作者: Huang, Xiao; Wu, Wei; Yin, Peijie; Qiao, Hong 收藏 \| 浏览/下载：1/0 \| 提交时间：2020/06/09 Brain-inspired model emotion motion learning recurrent neural network
	Brain vascular image Segmentation Based on Fuzzy Local Information C-Means Clustering 会议论文 San Francisco, California United States, 28 January - 2 February 2017 作者: Hu, Chaoen; Liu, Xia; Liang,Xiao; Hui, Hui; Yang, Xin 收藏 \| 浏览/下载：16/0 \| 提交时间：2018/01/02 Brain Vascular Image Enhancement Feedforward Neural Network Fuzzy Local Information C-means Clustering
	Phonological Processing of Japanese Kanji and Chinese Characters in Bilingual Japanese : An fMRI study 会议论文作者: Yang, Jingjing; Li, Xiujun; Li, Qi; Xiao, Xinwei; Tong, Dan 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/05 fMRI Chinese orthographic brain activation network

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