全部文献期刊会议图书|学者科研项目
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作者:Maxime Irene Dedo , Zikun Wang , Kai Guo ...
来源:[J].Optics Communications(IF 1.438), 2020, Vol.456
摘要:... In this paper, we have proposed a joint scheme of combining Gerchberg–Saxton (GS) algorithm and convolutional neural network (CNN) (GS-CNN) to achieve the efficient recognition of the multiplexing LG beams under turbulence environment. The feasibility of the scheme is veri...
作者:Imon Banerjee , Yuan Ling , Matthew C. Chen ...
来源:[J].Artificial Intelligence In Medicine(IF 1.355), 2019, Vol.97, pp.79-88
摘要:... We proposed two distinct deep learning models – (i) CNN Word – Glove, and (ii) Domain phrase attention-based hierarchical recurrent neural network (DPA-HNN), for synthesizing information on pulmonary emboli (PE) from over 7370 clinical thoracic computed tomography (CT) f...
作者:Linqi Huang , Jun Li , Hong Hao ...
来源:[J].Tunnelling and Underground Space Technology incorporating Trenchless Technology Research(IF 1.106), 2018, Vol.81, pp.265-276
摘要:... This paper uses Convolutional Neural Network (CNN) and deep learning techniques to develop a method for identifying the Time Delay of Arrival (TDOA) and subsequently the source location of micro-seismic events in underground mines. The power spectrum and phase spectrum of cro...
作者:Kunhua Liu , Peisi Zhong , Yi Zheng ...
来源:[J].PLoS ONE(IF 3.73), 2019, Vol.13 (12)
摘要:... Thus, for the use of attention maps in every image type, this paper proposed a new convolutional neural network (CNN) structure, P_VggNet, comprising the following parts: P_Net and VggNet with 16 layers (VggNet-16). The generation approach of P_Net was designed, and the P_Vgg...
作者:Qi Bi , Kun Qin , Han Zhang ...
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.377, pp.345-359
摘要:... Deep learning methods, especially convolutional neural network (CNN), have boosted the performance of aerial image scene classification significantly because of the strong feature representation ability. However, the distribution of geo-spatial objects and the spatial arrange...
作者:Yanyan Zhao , Bing Qin , Ting Liu
来源:[J].Science China Information Sciences(IF 0.706), 2017, Vol.60 (11)
摘要:... To combine the two types of syntactic representations, a neural network is constructed. We use a recursive neural network (RNN) to model the subtree embeddings, and then the subtree embedding and the word embedding are combined as the enhanced word representation for each wor...
作者:Yongbee Park , Byungjoon Kwon , Juyeon Heo ...
来源:[J].Environmental Pollution(IF 3.73), 2020, Vol.256
摘要:Abstract(#br)We apply convolutional neural network (CNN) model for estimating daily 24-h averaged ground-level P M 2.5 of the conterminous United States in 2011 by incorporating aerosol optical depth (AOD) data, meteorological fields, and land-use data. Unlike some of the recent ...
作者:Yida Wang , Yang Song , Fang Wang ...
来源:[J].European Journal of Radiology(IF 2.512), 2020, Vol.124
摘要:Abstract(#br)Purpose(#br)To propose an automatic approach based on a convolutional neural network (CNN) to evaluate the quality of T2-weighted liver magnetic resonance (MR) images as nondiagnostic (ND) or diagnostic (D).(#br)Materials and methods(#br)We included 150 T2-weighted...

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