Results 11 to 20 of about 82,122 (260)
Радіоелектронні і комп'ютерні системи, 2021 The research increases the recognition reliability of ground natural and infrastructural objects by use of an autonomous onboard unmanned aerial vehicle (UAV).
Igor Naumenko +2 more
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Радіоелектронні і комп'ютерні системи, 2021 The urgent task of increasing the functional efficiency of machine learning of the information and analytical system (IAS) for assessing compliance with modern requirements of the bachelor level academic disciplines content of the specialty ...
Анатолій Степанович Довбиш +3 more
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Physics Informed Extreme Learning Machine (PIELM)–A rapid method for the numerical solution of partial differential equations [PDF]
Neurocomputing, 2020 There has been rapid progress recently on the application of deep networks to the solution of partial differential equations, collectively labelled as Physics Informed Neural Networks (PINNs). In this paper, we develop Physics Informed Extreme Learning Machine (PIELM), a rapid version of PINNs which can be applied to stationary and time dependent ...
Vikas Dwivedi, Balaji Srinivasan
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Development of online classification system for construction waste based on industrial camera and hyperspectral camera. [PDF]
PLoS ONE, 2019 Construction waste is a serious problem that should be addressed to protect environment and save resources, some of which have a high recovery value.
Wen Xiao +4 more
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Research on an improved lp-RWMKE-ELM fault diagnosis model
工程科学学报, 2022 As the service time of military equipment increases, equipment failure data is continuously accumulated during events such as routine maintenance, training, and combat readiness exercises, and the data presented is often imbalanced to varying degrees and
Xing LIU +3 more
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IEEE Access, 2020 Kitchen waste is both a pollutant and an available resource. The anaerobic digestion (AD) technology can effectively treat waste and generate biogas. The concentration of volatile fatty acids (VFA) is one of the essential quality monitoring indicators in
Pengfei Yan, Boyang Shen, Yuhong Wang
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Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2021 Pengenalan aktivitas manusia dalam kehidupan sehari-hari dapat memberikan manfaat yang cukup besar. Akan tetapi, penelitian terkait pengenalan aktivitas manusia masih menghadapi beberapa permasalahan, yaitu pengambilan data yang bersifat unobtrusive ...
Fitra A. Bachtiar +2 more
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Globality-Locality Preserving Maximum Variance Extreme Learning Machine
Complexity, 2019 An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well.
Yonghe Chu +8 more
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A Bagging Strategy-Based Kernel Extreme Learning Machine for Complex Network Intrusion Detection [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 Network intrusion can enter the network through informal channels. Some illegal users utilize Trojans and self-programmed attack to change the network security system, so that the system loses the defense and alarm function and the Hacker ...
Shoulin Yin +4 more
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Deep information-extreme machine learning for recognition of electromyographic biosignals
Technical sciences and technologiesThe aim of the study is to improve the accuracy of machine learning of the electromyographic signal (EMG) recognition system for controlling a hand prosthesis with a non-invasive biosignal reading system.The information-extreme machine learning method is proposed, which is developed within the framework of the func-tional approach to modelling ...
Anatolii Dovbysh +4 more
openaire +3 more sources