Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Balázs Harangi"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1281-1297 (2024)
Chest X-rays are vital in healthcare for diagnosing various conditions due to their low Radiation exposure, widespread availability, and rapid interpretation. However, their interpretation requires specialized expertise, which can limit scalability a
Externí odkaz:
https://doaj.org/article/0c9446a4e09e4e5886d62fcaa07e11f1
Publikováno v:
Mathematics, Vol 12, Iss 6, p 806 (2024)
Chest X-ray evaluation is challenging due to its high demand and the complexity of diagnoses. In this study, we propose an optimized deep learning model for the multi-label classification of chest X-ray images. We leverage pretrained convolutional ne
Externí odkaz:
https://doaj.org/article/ebfd6d4058924068a06e1fcdd3db26c1
Autor:
Róbert Lakatos, Gergő Bogacsovics, Balázs Harangi, István Lakatos, Attila Tiba, János Tóth, Marianna Szabó, András Hajdu
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 3, p 20 (2024)
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains.
Externí odkaz:
https://doaj.org/article/2c7c19d602124286a907abca470f4f56
Autor:
Gergő Bogacsovics, András Hajdu, Balázs Harangi, István Lakatos, Róbert Lakatos, Marianna Szabó, Attila Tiba, János Tóth
Publikováno v:
KözigazgatásTudomány, Vol 1, Iss 2, Pp 134-145 (2021)
The world's appetite for energy and minerals seems insatiable. At the current rate of exploitation of the Earth's natural reserves of fossil fuels, humanity could face severe energy shortage problems in the coming decades. We must therefore turn our
Externí odkaz:
https://doaj.org/article/2c1941b1574b415c9f934c7e7622ce5c
Autor:
Gergő Bogacsovics, András Hajdu, Balázs Harangi, István Lakatos, Róbert Lakatos, Marianna Szabó, Attila Tiba, János Tóth, Ádám Tarcsi
Publikováno v:
KözigazgatásTudomány, Vol 1, Iss 2, Pp 146-158 (2021)
The leap forward in artificial intelligence over the last decade, with the continued expansion of the hardware and software platforms that support it, has also taken data analytics to a new level. In principle, this is best understood as a reduction
Externí odkaz:
https://doaj.org/article/3e92b7a835204d6ab64609bb081b1325
Autor:
Ágnes Éva Kovács, Zoltán Csernátony, Loránd Csámer, Gábor Méhes, Dániel Szabó, Mihály Veres, Mihály Braun, Balázs Harangi, Norbert Serbán, Lei Zhang, György Falk, Hajnalka Soósné Horváth, Sándor Manó
Publikováno v:
Materials, Vol 16, Iss 10, p 3861 (2023)
In this study, metal 3D printing technology was used to create lattice-shaped test specimens of orthopedic implants to determine the effect of different lattice shapes on bone ingrowth. Six different lattice shapes were used: gyroid, cube, cylinder,
Externí odkaz:
https://doaj.org/article/210ccd1308b846639329b9c947bc621b
Akademický článek
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Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract Machine learning-based systems have become instrumental in augmenting global efforts to combat cervical cancer. A burgeoning area of research focuses on leveraging artificial intelligence to enhance the cervical screening process, primarily
Externí odkaz:
https://doaj.org/article/e61f5a6e66aa45e288c3d2511cb8ba22
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract A simple and cheap way to recognize cervical cancer is using light microscopic analysis of Pap smear images. Training artificial intelligence-based systems becomes possible in this domain, e.g., to follow the European recommendation to scree
Externí odkaz:
https://doaj.org/article/6133122870574c5ca0aad42e1f19a742