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Pixel level based convolutional neural networks model for robot navigation
Heger, D. A.
Pixel level based convolutional neural networks model for robot navigation
Convolution Neural Network Learning Features for Handwritten Digit Recognition
Kayumov Z., Tumakov D.
Convolution Neural Network Learning Features for Handwritten Digit Recognition
Convolution algorithm for normalization constant evaluation in queuing system with random requirements
Samouylov K., Sopin E., Vikhrova O., Shorgin S.
We suggest a convolution algorithm for calculating the normalization constant for stationary
An analog of Young’s inequality for convolutions of functions for general Morrey-type spaces
Burenkov V.I., Tararykova T.V.
An analog of the classical Young’s inequality for convolutions of functions is proved in the case
Comparison of Different Convolutional Neural Network Architectures for Satellite Image Segmentation
Khryashchev Vladimir, Ivanovsky Leonid, Pavlov Vladimir, Rubtsov Anton, Ostrovskaya Anna
Convolutional neural networks for detection geo- objects on the satellite images from DSTL, Landsat
On the theory of mixed-type equations
Soldatov, A.
We briefly review different well-posed boundary-value problems for mixed-type equations
Genesis of Convolutions in Lacustrine Complexes in Regions with Comparatively Low (Baltic Shield) and High (Tien Shan) Paleoseismic Activity
Gorbatov E.S., Korzhenkov A.M., Kolesnikov S.F., Rasskazov A.A., Rodina S.N., Vardanyan H.A.
(convolutions) in Late Quaternary lacustrine complexes of the Baltic Shield (sediments of small glacial lakes
Convolutional neural network in the recognition of spatial images of sugarcane crops in the troncal region of the coast of Ecuador
Andryshchenko I.S., Cobeña Cevallos J.P., Atiencia Villagomez J.M.
in effectiveness and speed in obtaining excellent results is the use of deep learning of the convolution of neural
Computer-aided cholelithiasis diagnosis using explainable convolutional neural network
Kumar D., Mehta M.A., Kotecha K., Kulkarni A.
introduced in the literature, their use is limited because Convolutional Neural Network (CNN) models
НАЧАЛЬНО-ГРАНИЧНЫЕ И НАЧАЛЬНАЯ ЗАДАЧИ ДЛЯ УРАВНЕНИЯ КОЛЕБАНИЙ БАЛКИ
Сабитов К.Б.
For the equation of oscillations of a finite beam, the initial-boundary problems and the initial

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