A novel three-dimensional deep learning algorithm for classification of power system faults

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Andrew Howard, Menglong Zhu, Bo Chen et al. · arXiv (Cornell University) · 2017 · 9.9K citations · Full text

Computing, Computer Science, Computer Vision +11

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Konstantinos Kamnitsas, Christian Ledig, Virginia Newcombe et al. · Medical Image Analysis · 2016 · 3.5K citations · Full text

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Localization of the complex spectrum: the S transform

R. G. Stockwell, L. Mansinha, R. P. Lowe · IEEE Transactions on Signal Processing · 1996 · 3.4K citations

Engineering, Geophysics, Computer Vision +13

A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network

Shouxiang Wang, Haiwen Chen · Applied Energy · 2018 · 409 citations

Computing, Computer Science, Electrical Engineering +16

Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization

Chengping Rao, Yang Liu · Computational Materials Science · 2020 · 291 citations

Natural Sciences, Materials Engineering, Materials Science +13