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科研机构

湖南大学 [6]

四川大学 [2]

天津大学 [2]

西安交通大学 [1]

大连理工大学 [1]

北京航空航天大学 [1]

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期刊论文 [16]

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2019 [16]

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发表日期：2019

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	Lattice Boltzmann methods for single-phase and solid-liquid phase-change heat transfer in porous media: A review 期刊论文 International Journal of Heat and Mass Transfer, 2019, 卷号: 129, 页码: 160-197 作者: He, Ya-Ling; Liu, Qing; Li, Qing; Tao, Wen-Quan 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/19 Effective thermal conductivity Fluid flow and heat transfers Lattice Boltzmann method Modeling and predictions Numerical methodologies Representative elementary volume Single phase heat transfers Solid liquid phase change
	3-D PersonVLAD: Learning Deep Global Representations for Video-Based Person Reidentification 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 页码: 3347-3359 作者: Wu, Lin; Wang, Yang; Shao, Ling; Wang, Meng 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/02 Feature extraction Spatiotemporal phenomena Neural networks Streaming media Solid modeling Learning systems Computer science 3-D convolution global representations person reidentification (re-ID) vector of local aggregated descriptors (VLAD)
	A Mechanistic Model of Predicting Solid Particle Erosion on the Symmetry Plane of Elbows for Annular Flow 期刊论文 Journal of Energy Resources Technology, 2019, 卷号: Vol.141 No.3, 页码: 032907 作者: Kang, R.a; Liu, H.a,b 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/11/21 solid particle erosion annular flow elbow impact wear wear modeling
	Multi-View Hierarchical Fusion Network for 3D Object Retrieval and Classification 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 153021-153030 作者: An-An Liu; Nian Hu; Dan Song; Fu-Bin Guo; He-Yu Zhou 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/11/21 Three-dimensional displays Feature extraction Fuses Visualization Task analysis Solid modeling Aggregates 3D object retrieval 3D object classification 3D shape recognition multi-view
	Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: Vol.68 No.1, 页码: 38-48 作者: Chao Ma; Yulan Guo; Yinjie Lei; Wei An 收藏 \| 浏览/下载：17/0 \| 提交时间：2019/02/25 Object recognition Shape Performance evaluation Solid modeling Task analysis Convolutional neural networks Acceleration 3-D object recognition convolutional neural network (CNN) deep learning (DL) network binarization volumetric representation
	Binary Volumetric Convolutional Neural Networks for 3-D Object Recognition 期刊论文 IEEE Transactions on Instrumentation and Measurement, 2019, 卷号: Vol.68 No.1, 页码: 38-48 作者: Chao Ma; Yulan Guo; Yinjie Lei; Wei An 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/02/25 Object recognition Shape Performance evaluation Solid modeling Task analysis Convolutional neural networks Acceleration 3-D object recognition convolutional neural network (CNN) deep learning (DL) network binarization volumetric representation
	3-D Printed Object Authentication Based on Printing Noise and Digital Signature 期刊论文 IEEE Transactions on Reliability, 2019, 卷号: Vol.68 No.1, 页码: 342-353 作者: Fei Peng; Jing Yang; Min Long 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/13 Printing Authentication Watermarking Digital signatures Feature extraction Intellectual property Solid modeling Authentication data security digital signature printing noise 3-D printed object
	3-D Printed Object Authentication Based on Printing Noise and Digital Signature. 期刊论文 IEEE Transactions on Reliability, 2019, 卷号: Vol.68 No.1, 页码: 342-353 作者: Peng, Fei; Yang, Jing; Long, Min 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/13 3-D printed object Authentication data security digital signature Digital signatures Feature extraction Intellectual property Printing printing noise Solid modeling Watermarking
	Multi-Objective Robust Optimization for a Dual-Flux-Modulator Coaxial Magnetic Gear 期刊论文 IEEE Transactions on Magnetics, 2019, 卷号: Vol.55 No.7, 页码: 1-8 作者: Xiao Liu; Yunyun Zhao; Zhe Chen; Derong Luo; Shoudao Huang 收藏 \| 浏览/下载：30/0 \| 提交时间：2019/12/13 Torque Optimization Finite element analysis Solid modeling Uncertainty Magnetoacoustic effects Iron Dual-flux-modulator coaxial magnetic gear (DFM-CMG) finite-element method (FEM) multi-objective robust optimization (MORO) reliability and stability torque performance
	3-D Printed Object Authentication Based on Printing Noise and Digital Signature. 期刊论文 IEEE Transactions on Reliability, 2019, 卷号: Vol.68 No.1, 页码: 342-353 作者: Peng, Fei; Yang, Jing; Long, Min 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/13 3-D printed object Authentication data security digital signature Digital signatures Feature extraction Intellectual property Printing printing noise Solid modeling Watermarking

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