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	面向自动驾驶的感知预测一体化方法研究学位论文 2024 作者: 刘雅慧收藏 \| 浏览/下载：3/0 \| 提交时间：2024/05/27 Autonomous Driving Integrated Perception and Prediction Point Cloud Classification Trajectory Prediction Scene Motion Prediction
	Temporal Double Graph Convolutional Network for CO and CO₂ Prediction in Blast Furnace Gas 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13 作者: Zhang, Tingkun; Liu, Chengbao; Liu, Zhenjie; Tan, Jie; Ahmat, Mutellip 收藏 \| 浏览/下载：1/0 \| 提交时间：2024/03/26 Blast furnace gas (BFG) CO and CO2 content graph convolutional network (GCN) hypergraph convolutional network prediction
	Machine learning versus crop growth models: an ally, not a rival 期刊论文 AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7 作者: Zhang, Ningyi; Zhou, Xiaohan; Kang, Mengzhen; Hu, Bao-Gang; Heuvelink, Ep 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/11/17 Knowledge and data-driven modelling Machine learning Process-based models yield prediction
	Real-Time Digital Video Stabilization of Bioinspired Robotic Fish Using Estimation-and-Prediction Framework 期刊论文 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 12 作者: Meng, Yan; Wu, Zhengxing; Zhang, Pengfei; Wang, Jian; Yu, Junzhi 收藏 \| 浏览/下载：28/0 \| 提交时间：2022/06/06 Robots Cameras Robot vision systems Streaming media Bio-inspired robotics Real-time systems Estimation Bioinspired robot digital video stabilization estimation-and-prediction framework robotic fish vision system
	Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data 期刊论文 IET Collaborative Intelligent Manufacturing, 2022, 卷号: 4, 期号: 1, 页码: 45-57 作者: Zhang, Zhongke; Li, Zhao; Zhao, Changzhong 收藏 \| 浏览/下载：22/0 \| 提交时间：2022/04/21 Big data Display devices Failure analysis Fault detection Light emission Metadata Program debugging Trees (mathematics) Virtual private networks Cloud platforms Condition monitoring and faults diagnosis Electronics materials Fault prediction Faults diagnosis Manufacturing industries On condition monitoring Production line Window control center configuration Windows control centers
	Development of a new ratcheting fatigue life prediction model of a nickel-based superalloy based on ratcheting strain rate 期刊论文 MATERIALS LETTERS, 2022, 卷号: 308, 页码: 4 作者: Kong, Weiwen; Nian, Taojie; Yuan, Chao 收藏 \| 浏览/下载：60/0 \| 提交时间：2021/12/09 Metals and alloys Fatigue Ratcheting strain rate Fatigue life prediction model
	Toward the Rational Design of Mid-Infrared Nonlinear Optical Materials with Targeted Properties via a Multi-Level Data-Driven Approach 期刊论文 ADVANCED FUNCTIONAL MATERIALS, 2022, 卷号: 32, 期号: 23, 页码: 1-9 作者: Cai, WB (Cai, Wenbing) [1]; Abudurusuli, A (Abudurusuli, Ailijiang) [1] , [2]; Xie, CW (Xie, Congwei) [1]; Tikhonov, E (Tikhonov, Evgenii) [1]; Li, JJ (Li, Junjie) [1] , [2] 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/06/21 crystal structure prediction high-throughput computation and screening machine learning nonlinear optical material second harmonic generation response
	Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model 期刊论文 IEEE Geoscience and Remote Sensing Letters, 2022, 卷号: 19, 页码: 1-5 作者: Zuo XY(左心怡); Zhou XF(周晓锋); Guo DQ(郭大权); Li S(李帅); Liu SR(刘舒锐) 收藏 \| 浏览/下载：22/0 \| 提交时间：2021/08/28 Convolution Dual characteristics Ocean temperature ocean temperature prediction Predictive models Robots Sea surface Solid modeling stereo spatial and temporal 4-D convolution model (SST-4D-CNN). Temperature distribution
	Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4217-4230 作者: Li, Lianfa; Fang, Ying; Wu, Jun; Wang, Jinfeng; Ge, Yong 收藏 \| 浏览/下载：82/0 \| 提交时间：2021/11/05 Bias deep learning encoder-decoder full residual deep network non-linear regression prediction of satellite aerosol optical depth (AOD) and PM2.5 spatiotemporal modeling
	An evaluation model for landslide and debris flow prediction using multiple hydrometeorological variables 期刊论文 ENVIRONMENTAL EARTH SCIENCES, 2021, 卷号: 80, 期号: 16, 页码: 18 作者: Hou, Jinjin; Dou, Ming; Zhang, Yongyong; Wang, Jihua; Li, Guiqiu 收藏 \| 浏览/下载：48/0 \| 提交时间：2021/11/05 SWAT model Multiple hydrometeorological variables Trigger sensitivities Landslide and debris flow Prediction model

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