Hybrid method for tracking moving objects in video streams under dynamic observation conditions von Semko, Oleksiy, Vinnichuk, Denys

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Application of deep learning and computer vision frameworks for solving video context prediction problem von Voloshyn, D.

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Granulation of object features values as a means of structural recognition methods efficiency rise von Gorokhovatskiy, V. A., Kulikov, Yu. A.

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Self-learning neural network technologies in the systems of structural recognition of visual objects von Berestovskii, A. E., Vlasenko, A. N., Gorokhovatskiy, V. A.

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An analysis of publication activity in the scientific and technical direction of "Unmanned aerial vehicles" von Крючин, А. А., Солоніна, Н. В., Додонов, Є. О., Мельник, О. Г.

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The usage of computer vision in the system of digital cutting of materials von Tumanov, V.V., Doroshenko, А.Yu.

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Developing a semantic image model using machine learning based on convolutional neural networks von Andon, P.I., Glybovets, A.M., Kuryliak, V.V.

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Geographic information intelligent systems based on modern information technologies for digital terrain modelling von Vdovychenko, V.V., Pleskach, V.L.

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