Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Samed Jukić"'
Autor:
Hala Shaari, Jasmin Kevrić, Samed Jukić, Larisa Bešić, Dejan Jokić, Nuredin Ahmed, Vladimir Rajs
Publikováno v:
Brain Sciences, Vol 11, Iss 6, p 716 (2021)
Brain tumors diagnosis in children is a scientific concern due to rapid anatomical, metabolic, and functional changes arising in the brain and non-specific or conflicting imaging results. Pediatric brain tumors diagnosis is typically centralized in c
Externí odkaz:
https://doaj.org/article/5b66a861c18c4937abed8912b4749cc7
Publikováno v:
Journal of Intelligence Studies in Business. 12:54-64
This paper aims to show how business intelligence can be applied in the credit card approval process. More specifically, the paper investigates how information like an applicant’s age, credit score, debt, income, and prior default can be used in cr
Autor:
Ana Lojić, Samed Jukić
Publikováno v:
2023 22nd International Symposium INFOTEH-JAHORINA (INFOTEH).
Autor:
A.S. AbdelRady, Aditya Kumar Sahu, Adnan Hasanović, Ahmed Elhadad, Alejandro Mora Rubio, Amal Khalifa, Anita Pradhan, Dilbag Singh, Gandharba Swain, Gustavo Isaza, Hanzhou Wu, Harold Brayan Arteaga Arteaga, Hussein Abulkasim, Jesus Alejandro Alzate Grisales, K. Raja Sekhar, M. Hassaballah, Manjit Kaur, Marc Chaumont, Mario Alejandro Bravo Ortíz, Marwa Saidi, Mohamed Abdel Hameed, Monagi H. Alkinani, Muzafer Saračević, Olfa Mannai, Phuoc-Hung Vo, Rasheed Hussain, Raúl Ramos-Pollán, Reinel Tabares-Soto, Rhouma Rhouma, Safwat Hamad, Saleh Aly, Samed Jukić, Simon Orozco-Arias, Thai-Son Nguyen, Thanh Nhan Vo, Thanh-Nghi Do, Todd A. Brun, Tzu-Chuen Lu, Van-Thanh Huynh, Vijay Kumar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e6816246b3b501097ee5227a9950da3
https://doi.org/10.1016/b978-0-12-819438-6.00005-0
https://doi.org/10.1016/b978-0-12-819438-6.00005-0
Publikováno v:
TEM Journal, Vol 7, Iss 2, Pp 313-318 (2018)
TEM Journal; Vol 7, No 2, 2018. ISSN 2217-8309
The main aim of the study is to develop a real-time epilepsy prediction approach by using the ensemble machine learning techniques that might predict offline seizure paradigms. The proposed seizure
The main aim of the study is to develop a real-time epilepsy prediction approach by using the ensemble machine learning techniques that might predict offline seizure paradigms. The proposed seizure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c1686cc1c8b2f3748abfcc06fb3012d
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1481 (2020)
This research presents the epileptic focus region localization during epileptic seizures by applying different signal processing and ensemble machine learning techniques in intracranial recordings of electroencephalogram (EEG). Multi-scale Principal
Externí odkaz:
https://doaj.org/article/f60c97b0e3b440078edf1832fb3c46c1