Results 61 to 70 of about 298,507 (214)
Controller Fatigue State Detection Based on ES-DFNN
Aerospace, 2021 The fatiguing work of air traffic controllers inevitably threatens air traffic safety. Determining whether eyes are in an open or closed state is currently the main method for detecting fatigue in air traffic controllers.
Haijun Liang +5 more
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BMC Anesthesiology, 2021 Background Estimating the depth of anaesthesia (DoA) is critical in modern anaesthetic practice. Multiple DoA monitors based on electroencephalograms (EEGs) have been widely used for DoA monitoring; however, these monitors may be inaccurate under certain
Jian Zhan +6 more
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Economic Structure Analysis Based on Neural Network and Bionic Algorithm
Complexity, 2021 In this article, an in-depth study and analysis of economic structure are carried out using a neural network fusion release algorithm. The method system defines the weight space and structure space of neural networks from the perspective of optimization ...
Yanjun Dai, Lin Su
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Deep Neural Network or Dermatologist? [PDF]
, 2019 Deep learning techniques have proven high accuracy for identifying melanoma in digitised dermoscopic images. A strength is that these methods are not constrained by features that are pre-defined by human semantics. A down-side is that it is difficult to understand the rationale of the model predictions and to identify potential failure modes. This is a
Young, Kyle +4 more
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Deep learning in spiking neural networks [PDF]
Neural Networks, 2019 In recent years, deep learning has been a revolution in the field of machine learning, for computer vision in particular. In this approach, a deep (multilayer) artificial neural network (ANN) is trained in a supervised manner using backpropagation.
Kheradpisheh, Saeed Reza +5 more
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Application of deep learning for division of petroleum reservoirs
MATEC Web of Conferences, 2018 Traditional methods of dividing petroleum reservoirs are inefficient, and the accuracy of onehidden-layer BP neural network is not ideal when applied to dividing reservoirs.
Qin Yaqiong, Ye Zhaohui, Zhang Conghui
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Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning
International Journal of Computational Intelligence Systems, 2020 One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support.
Vojtech Molek, Irina Perfilieva
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Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks [PDF]
, 2021 Damian Kwaśny, Daria Hemmerling
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Neural Network Architecture for EEG Based Speech Activity Detection
Acta Electrotechnica et Informatica, 2021 In this paper, research focused on speech activity detection using brain EEG signals is presented. In addition to speech stimulation of brain activity, an innovative approach based on the simultaneous stimulation of the brain by visual stimuli such as ...
Koctúrová Marianna, Juhár Jozef
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Deep residual neural-network-based robot joint fault diagnosis method
Scientific Reports, 2022 A data driven method-based robot joint fault diagnosis method using deep residual neural network (DRNN) is proposed, where Resnet-based fault diagnosis method is introduced.
Jinghui Pan, Lili Qu, Kaixiang Peng
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