Characterization of regular convolutions von Sagi, Sankar

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The Structure of a Hyper Fast Calculation Method Linear Convolution of Discrete Signals von Калиновський, Я. О.

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A prediction of the frequency of non-periodic signals based on convolutional neural networks von Subbotin, S. A., Korniienko, O. V., Drokin, I. V.

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Algorithms for Fast Computation of Cyclic Convolutions with the Notion of Discrete Signals Hypercomplex Numbers von Kalinovsky, Ya. O., Sinkova, T. S.

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Study of Symmetries Operator of Isomorphism Hypercomplex Number Systems and Their Application for the Synthesis of Algorithms of Fast Calculations of Cyclic Convolution von Kalinovsky, Ya. O.

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Recursive method for constructing linear convolution algorithms of various lengths using hypercomplex number systems. von Kalinovsky, Ya. A., Boyarinova, Yu. E., Sukalo, A. S., Khitsko, Ya. V.

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Ideals in \((\mathcal{Z}^{+},\leq_{D})\) von Sagi, Sankar

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Using fast algorithms for calculation of the correlation and convolution to prepare reference images von Tsybulska, Y. O.

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Method of processing information about the state of the environment based on data obtained through a service-oriented network von Trofymchuk, Oleksandr M., Itskovych, Victoria Ye.

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Comparative analysis of height-based vegetation segmentation methods: evaluating efficiency and accuracy von Tsaryniuk, O.V., Glybovets, A.M.

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Method of hypercomplex numbers systems generation for modeling digital reversible filters of 4th order von Kalinovsky, Ya. A., Boyarinova, Yu. E., Khitsko, Ya. V.

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Evaluation of dose calculation algorithms using different density materials for in-field and out-of-field conditions von Alghamdi, S., Tajaldeen, A.

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Structure of an algoritsm for quick two-dimensional convolution by means of isomorphing hypercomplex numerical systems von Kalinovsky, Ya. A., Boyarinova, Yu. E., Khitsko, Ya. V., Sukalo, A. S.

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The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data von Krysenko, Pavlo

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A METHOD OF REDUCING THE ERROR IN DETERMINING THE ANGULAR DISPLACEMENTS WHEN USING INDUCTIVE SENSORS von Snitkov, K. I., Shabatura, Y. V.

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Development and research of a modified convolutional neural network for malaria cell pattern recognition von Федорченко, Є. М., Олійник, А. О., Степаненко, О.О., Федорончак, Т. В., Чорнобук, М. О.

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Machine learning methods analysis in the document classification problem von Zhyrkova, A.P., Ignatenko, O.P.

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Automated design and parallelization of programs for heterogeneous platforms using algebra-algorithmic tools von Doroshenko, А.Yu., Beketov, O.G., Bondarenko, M.M., Yatsenko, О.А.

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Convolutional neural network model and software for classification of typical pests von Bezliudnyi, Y.S., Shymkovysh, V.M., Doroshenko, A.Yu.

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Optimization methods for face recognition algorithmes von Sitkov, I.P., Glybovets, M.M.

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