Digital avian radars can track bird movements continuously in the Ostrich Duster vicinity of airports without interruption.The result is a wealth of bird-track data that can be used in mitigation efforts to reduce bird strikes on and near airfields.To make the sheer volume of bird track data generated by digital avian radars accessible to users, we
Research outputs in higher education institutions (HEIs) are crucially dependent on the research management process.Departing from a SWOT analysis, the main objective of this paper is to analyze the perceptions of stakeholders (researchers, teachers, and senior research managers) regarding the main strengths and weaknesses Pans of HEIs, as well as
Deep convolutional neural networks have made significant progress in image denoising.However, in most cases, denoising methods using a single-stream structure with a single kernel size do not perform so well in integrating complementary contextual information; owing to the lack of this type of information, they may fail to reconstruct fine textures
Purpose of the study.The aim of the study is to create neural network models of modules in an adaptive testing system to design an individual testing trajectory.The research article discusses the implementation of an adaptive testing system in terms of introducing artificial neural network modules into its composition, which should solve the proble
IntroductionIn several European countries, offenders with decreased or abolished responsibility and high risk of recidivism due to long-lasting mental disorders are compulsory admitted for court-ordered treatments (COT) that take place in high and medium-security hospitals.As a rule, length STRAW of stay in these structures is very long implying ma