A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications
Electroencephalography (EEG) has emerged as a primary non-invasive and mobile
modality for understanding the complex workings of the human brain, providing invaluable …
modality for understanding the complex workings of the human brain, providing invaluable …
An automated breast cancer detection by heuristic-based ensemble deep classifier using mammogram and tomosynthesis images
Nowadays, breast cancer is the most founded cancer among women. Moreover, 2.3 million
new cases of breast cancer have been detected among women since 2020 as reported by …
new cases of breast cancer have been detected among women since 2020 as reported by …
Collation of performance parameters on various machine learning algorithms for breast cancer discernment
M Kumar, SK Khatri… - International Journal of …, 2024 - inderscienceonline.com
In clinical practices, machine learning (ML) technology plays an important and rapid growing
role as it is likely to help healthcare professionals making decisions and proposing new …
role as it is likely to help healthcare professionals making decisions and proposing new …
Развој Предиктивног Модела за Дијагностику Вирусних Респираторних Инфекција у Педијатрији
Д Добријевић - 2024 - search.proquest.com
Увод: Акутне респираторне инфекције су најчешће инфекције у педијатријском узрасту
и чине чак 50% узрока свих хоспитализација деце старости до 5 година. Респираторни …
и чине чак 50% узрока свих хоспитализација деце старости до 5 година. Респираторни …