Перегляд за Автор "Skliarenko O.V."

Зараз показуємо 1 - 2 з 2
  • Ескіз недоступний
    Документ
    Analysis and comparison of face detection apis
    (Видавництво Державного університету телекомунікацій, 2019) Nikolaievskyi O. Yu.; Skliarenko O.V.; Sidorchuk A.I.
    Today, more and more information is being accumulated in digital form, including media content, which is a growing segment of the Internet, searching for such content is an important task, but it is significantly different from textual information search and involves image recognition. Images recognition is an automatic comparison of images to objects in a class. There are two major issues in this area: classification and identification. The first helps the search engine to understand what type of object is in the media resource. Only correctly having solved this fundamental problem, the computer will be able to distinguish, for example, a dog from a cat. The second allows not only to find the object category, but also to identify it. The article defines the mathematical formulation of the problem, which is important in order to formalize the accuracy of recognition and to determine the procedure for comparing the capabilities of existing algorithms. The results show that existing APIs allow you to largely solve the problem of face recognition in images, and the next important step is to recognize the face of a person on the move, that is, on video content.
  • Ескіз недоступний
    Документ
    Digital transformation in automobile manufacturing- impact on business development strategy, challenges and prospects
    (Видавництво Європейського університету, 2023-03-14) Skliarenko O.V.; Tarnavskyi А.S.
    In recent years, digital transformation has become a key driver of change and innovation in many industries, including automobile manufacturing. Digital technologies are transforming every aspect of competitiveness and the automotive value chain, from the development of electric and autonomous vehicles to the implementation of advanced analytics and robotics. This transformation is not just affecting the way cars are designed, built, and sold, but it is also changing the way companies approach business development and strategy formation. The digital transformation of the automotive industry has brought about significant changes in the way business is conducted, leading to increased efficiency, productivity, and revenue. However, there are also challenges that arise from this transformation, such as cybersecurity risks and the need for new skill sets. In today’s world, where the automotive industry continues to grow rapidly, it is important to understand the impact of digital transformation and the Internet of Things (IoT) on business development strategies and the economy. These issues are considered in this article. The authors analyzed the impact of digital transformation and the Internet of Things on the auto- motive industry, as well as explored potential solutions to the problems that arise in connection with this transformation.