Decision-tree and ensemble-based mortality risk models for hospitalized patients with COVID-19 by Yaroslav Vyklyuk, Svitlana Levytska, Denys Nevinskyi, Kateryna Hazdiuk, Miroslav Škoda, Stanislav Andrushko, Maryna Palii

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Порівняння ефективності класифікаторів машинного навчання у контексті голосової біометрії by Valery Ya. Danilov, Yaroslav G. Grushko

“…У дослідженні використано такі класифікатори: K-NN (K-Nearest neighbours classifier), MLP (Multilayer perceptron), SVM (Support vector machine), DTC (Decision tree classifier), GNB (Gaussian Naive Bayes classifier), ABC (AdaBoost classifier), RFC (Random forest classifier). …”
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The production of space and the exploitation of attention: a view from/of poststructuralism by Alexander Golikov, Vladislav Tyaglo

“…Poststructuralist metaphors of systematicity (tree and rhizome) are being rethought from the sociological perspective not as mutually exclusive, but as typologically compatible. …”
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Evaluation of the carbon capacity of single breed wood stands – elements of the green infrastructure of Kharkiv by N. V. Maksymenko, S. V. Burchenko, I. M. Shpakivska, A. S. Krotko

“…Six objects of single-breed tree stands of the green infrastructure of the city of Kharkiv were studied: linear protective plantings, green boulevards, where the main species is maple (Acer platanoides) and on the territory of the objects of the nature reserve fund - a regional landscape park and a forest reserve, where the main the species is pedunculated oak (Quercus robur). …”
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Cost minimization and budget impact analysis of the use of a new 6-month form of triptorelin in the treatment of patients with prostate cancer in Ukraine by S. O. Soloviov, E. O. Stakhovsky, M. V. Leleka, F. V. Hladkykh

“…For calculation of direct costs when applying goserelin and triptorelin a pharmacoeconomic decision tree model was used, according to which the costs are computed with an allowance for possibilities and expenditures on side effects. …”
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Monitoring of the Condition of Green Plantations in Shevchenkivskyi District of Kharkiv (on The Example of Bittle Chestnut (Aesculus Hippocastanum L.) by N. V. Maksymenko, O. O. Gololobova, I. M. Koval, O. I. Kalynovskyi

“…A visual assessment of the quality of common bitter chestnut stands was made, in particular, damage to trees was determined. An inventory map of urban plantations of bitter chestnut in the usual Shevchenkivskyi region was developed using GIS technologies. …”
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Remote monitoring of the influx of military activities on forest landscapes of the Kharkiv region by N. V. Maksymenko, V. O. Voronin, S. V. Burchenko

“…Monitoring the area of forest landscapes by means of remote sensing made it possible to identify the foci of the most affected areas, to periodize and establish the main components of the impact of military operations on forest landscapes: forest fires caused by explosions; damage to vegetation and soil due to bombing; felling of trees and destruction of soil cover for the construction of fortifications. …”
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