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Method for predicting cutter remaining life based on multi-scale cyclic convolutional network
International Journal of Distributed Sensor Networks, 2022 In the process of predicting the remaining cutter life, the deep-learning method such as convolutional neural network does not consider the time correlation of different degradation states, which directly affects the accuracy of the remaining cutter life
Tao Li +5 more
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Моделирование и анализ информационных систем, 2023 The development of fast algorithms for key generation, encryption and decryption not only increases the efficiency of related operations. Such fast algorithms, for example, for asymmetric cryptosystems on quasi-cyclic codes, make it possible to ...
Andrey N. Sushko +4 more
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Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction [PDF]
Scientific ReportsIn the realm of traffic prediction, emerging are methodologies founded on graph convolutional networks. Nonetheless, existing approaches grapple with issues encompassing insufficient sharing patterns, dependence on static relationship presumptions, and ...
Aihua Zhang
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Research on far-field spot search and centre location algorithms
Frontiers in Physics, 2023 The energy distribution of the far-field spot is uneven, and the background is complex. Therefore, the identification of far-field points and the positioning of the centre are difficult.
Xiaohong Mi +3 more
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An Efficient Convolution Algorithm for the Non-Markovian Two-Node Cyclic Network
Journal of Applied Mathematics, 2021 Consider a closed cyclic queueing model that consists of two nodes and a total of M customers. Each node buffer can accommodate all M customers. Node 1 has N≤M servers, each having an exponential service time with rate λ.
Muhammad El-Taha, Thomas Michaud
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Fast restoration of a blurred image obtained by a horizontally rotating camera [PDF]
Компьютерная оптика, 2018 A problem of restoration of a blurred image obtained by a horizontally rotating camera is considered in this paper. The mathematical model of this problem is the convolution equation on a cyclic group.
Anatoly Kozak +2 more
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Voltammetric examination of hydroquinone at ordinary and nano-architecture platinum electrodes
Macedonian Journal of Chemistry and Chemical Engineering, 2023 The electrochemical behavior of hydroquinone was examined experimentally using cyclic voltammetry, convolution transform, and deconvolution transform at clean ordinary and nanostructured mesoporous platinum electrodes in 1 mol/l HClO4.
Ahmed A Al-Owais +2 more
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Multi-Scale Cyclic Image Deblurring Based on PVC-Resnet
Photonics, 2023 Aiming at the non-uniform blurring of image caused by optical system defects or external interference factors, such as camera shake, out-of-focus, and fast movement of object, a multi-scale cyclic image deblurring model based on a parallel void ...
Kai Zhang +5 more
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Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution [PDF]
PeerJ Computer Science, 2023 Precise short-term load forecasting (STLF) plays a crucial role in the smooth operation of power systems, future capacity planning, unit commitment, and demand response.
Irshad Ullah +5 more
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Analysis and Prediction of Cloud VM CPU Load Based on EMPC-BCGRU [PDF]
Jisuanji kexue, 2023 Cloud platform resource prediction is of great significance for resource management and energy saving.Cloud VM technology is a virtualization method implemented by the cloud to make full use of physical resources,but effective cloud VM load prediction is
XIE Tonglei, DENG Li, YOU Wenlong, LI Ruilong
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