SOFTWARE TESTING RESULTS ANALYSIS FOR THE REQUIREMENTS CONFORMITY USING NEURAL NETWORKS

Autor: Shepeliev Oleksandr, Mariia Bilova

Publikováno v: Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, Iss 2 (6), Pp 8-14 (2021)

The relevance of scientific work lies in the need to improve existing software designed to analyze the compliance of the results of software testing of the stated requirements. For the implementation of this goal, neural networks can be used by quali

Externí odkaz: https://doaj.org/article/373b2c8e5d774f3782b50c067953a9d9

State Estimation of Forest condition in the Event of Fire, Based on Satellite Image Processing

Autor: Shepeliev, Oleksandr, Bilova, Mariia

The relevancy of the work connected with the need to improve existing software designed to assess the condition of the forest in the event of a fire. The task of responding quickly and assessing the state of forests in recent years has become a very

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1859::64066fce58d89d2aa7885312da013952
https://ena.lpnu.ua/handle/ntb/52139