Improving the quality of object classification in images by ensemble classifiers with stacking

Autor: Baranov, Oleksii, Babych, Mykola

Publikováno v: Eastern-European Journal of Enterprise Technologies; Vol. 3 No. 9 (123) (2023): Information and controlling system; 70-77
Eastern-European Journal of Enterprise Technologies; Том 3 № 9 (123) (2023): Інформаційно-керуючі системи; 70-77

The object of research is the process of classifying objects in images. The quality of classification refers to the ratio of correctly recognized objects to the number of images. One of the options for improving the quality of classification is to in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::b339824eee89b85f3d6b8cbbbb163df3
https://journals.uran.ua/eejet/article/view/279372

HUMAN EMOTION RECOGNITION SYSTEM USING DEEP LEARNING ALGORITHMS

Autor: Kateryna Yuvchenko, Valentyn Yesilevskyi, Olena Sereda

Publikováno v: Innovative Technologies and Scientific Solutions for Industries; No. 3 (21) (2022): INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES; 60-69
Современное состояние научных исследований и технологий в промышленности; № 3 (21) (2022): СОВРЕМЕННОЕ СОСТОЯНИЕ НАУЧНЫХ ИССЛЕДОВАНИЙ И ТЕХНОЛОГИЙ В ПРОМЫШЛЕННОСТИ; 60-69
Сучасний стан наукових досліджень та технологій в промисловості; № 3 (21) (2022): СУЧАСНИЙ СТАН НАУКОВИХ ДОСЛІДЖЕНЬ ТА ТЕХНОЛОГІЙ В ПРОМИСЛОВОСТІ; 60-69

The subject of research in the article is the software implementation of a neural image classifier. The work examines emotions as a special type of mental processes that express a person’s experience of his attitude to the surrounding world and him

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::226463b05d02701546850c6301dc57f9
http://journals.uran.ua/itssi/article/view/267182

Creation of reference and information GIS on the territory of the park architecture monument 'Stryiskyy park' in Lviv

Autor: B. Chetverikov, Z. Kuzyk, N. Turchyn

Publikováno v: Modern achievements of geodesic science and industry. :118-127

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5e2764e3a12aa6770d46f2f67c528d9
https://doi.org/10.33841/1819-1339-1-39-19

Clustering method based on fuzzy binary relation

Autor: Kondruk, Natalia

Publikováno v: Eastern-European Journal of Enterprise Technologies; Том 2, № 4 (86) (2017): Mathematics and Cybernetics-applied aspects; 10-16
Восточно-Европейский журнал передовых технологий; Том 2, № 4 (86) (2017): Математика и кибернетика-прикладные аспекты; 10-16
Східно-Європейський журнал передових технологій; Том 2, № 4 (86) (2017): Математика та кібернетика-прикладні аспекти; 10-16

Heuristic methods of fuzzy clustering hold a special place in data mining. They are important in preliminary data analysis when the number of clusters, their structure and mutual arrangement are unknown.The object clustering methods, based on fuzzy b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::e87ea531d8f30f5f250c4e26d56e44a9
http://journals.uran.ua/eejet/article/view/94961

2-Layer Perceptron Performance Improvement in Classifying 26 Turned Monochrome 60-by-80-Images via Training with Pixel-Distorted Turned Images

Publikováno v: Наукові вісті КПІ; № 5 (2014): ; 55-62
Научные вести КПИ; № 5 (2014): ; 55-62
Research Bulletin of the National Technical University of Ukraine "Kyiv Politechnic Institute"; № 5 (2014): Engineering; 55-62

There is tried 2-layer perceptron in classifying turn-distorted objects at acceptable classification error percentage. The object model is a letter of English alphabet, which is monochrome 60-by-80-image. Neither training 2-layer perceptron with pixe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=scientific_p::644fa2890de9a97597a42f9c18dd7812
http://bulletin.kpi.ua/article/view/35234