Results 21 to 30 of about 3,225,031 (302)
Stroke impact on mortality and psychologic morbidity within the Childhood Cancer Survivor Study. [PDF]
, 2020 BackgroundPoor socioeconomic and health-related quality of life (HRQOL) outcomes in survivors of childhood cancer can lead to distress and overall negatively impact the lives of these individuals.
Armstrong, Gregory T +11 more
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Memory in reservoirs for high dimensional input [PDF]
, 2010 Reservoir Computing (RC) is a recently introduced scheme to employ recurrent neural networks while circumventing the difficulties that typically appear when training the recurrent weights.
Hermans, Michiel, Schrauwen, Benjamin
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Zhongliu Fangzhi Yanjiu, 2021 Objective To observe the efficacy and safety of nimotuzumab combined with docetaxel and cisplatin in the first-line treatment of recurrent or metastatic head and neck squamous cell carcinoma patients. Methods We retrospectively analyzed the clinical data
ZHU Qiuxia, ZHANG Zhenyong
doaj +1 more source
Lateral inhibition: inherent recurrent processes in coherent optical propagation [PDF]
, 1994 Processes that are analogous to the neural process of recurrent lateral inhibition can be found in optical systems that consist of a shift-invariant system and a Fabry-Perot cavity.
Liang, Minhua
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A rare cause of recurrent spontaneous pneumothorax: Birt-hogg-dube syndrome [PDF]
, 2018 Birt-Hogg-Dube (BHD) syndrome is an unusual disorder characterized by the triad of cutaneous lesions, renal tumors and lung cysts. In cases with BHD syndrome, the frequency of recurrent pneumothorax is increased due to presence of multiple lung cysts. It
Demirci, M. +3 more
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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Italian National Conference on Sensors, 2016 Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sensor ...
Francisco Javier Ordonez, D. Roggen
semanticscholar +1 more source
Gate-variants of Gated Recurrent Unit (GRU) neural networks [PDF]
Midwest Symposium on Circuits and Systems, 2017 The paper evaluates three variants of the Gated Recurrent Unit (GRU) in recurrent neural networks (RNNs) by retaining the structure and systematically reducing parameters in the update and reset gates.
Rahul Dey, F. Salem
semanticscholar +1 more source
A Conley-type decomposition of the strong chain recurrent set [PDF]
, 2017 For a continuous flow on a compact metric space, the aim of this paper is to prove a Conley-type decomposition of the strong chain recurrent set. We first discuss in details the main properties of strong chain recurrent sets. We then introduce the notion
Bernardi, Olga, Florio, Anna
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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction [PDF]
International Joint Conference on Artificial Intelligence, 2017 The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades. Despite the
Yao Qin +5 more
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Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining [PDF]
European Conference on Computer Vision, 2018 Rain streaks can severely degrade the visibility, which causes many current computer vision algorithms fail to work. So it is necessary to remove the rain from images. We propose a novel deep network architecture based on deep convolutional and recurrent
Xia Li +4 more
semanticscholar +1 more source