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pro vyhledávání: '"Khaled Fawagreh"'
Autor:
Ghazanfar Latif, Jaafar Alghazo, Majid Ali Khan, Ghassen Ben Brahim, Khaled Fawagreh, Nazeeruddin Mohammad
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 20539-20571 (2024)
The field of artificial intelligence (AI) and machine learning (ML) has been expanding and is explored by researchers in various fields. In medical diagnosis, for instance, the field of AI/ML is being explored because if medical diagnostic devices ar
Externí odkaz:
https://doaj.org/article/df1d83dce446417ab229ecabaed4d7ed
Autor:
Khaled Fawagreh, Mohamed Medhat Gaber
Publikováno v:
Big Data and Cognitive Computing, Vol 4, Iss 4, p 37 (2020)
To make healthcare available and easily accessible, the Internet of Things (IoT), which paved the way to the construction of smart cities, marked the birth of many smart applications in numerous areas, including healthcare. As a result, smart healthc
Externí odkaz:
https://doaj.org/article/e74d84f0b2574a16bce3da5caf4066f0
Autor:
Khaled Fawagreh, Mohamed Medhat Gaber
Publikováno v:
Computing. 102:1187-1198
In predictive healthcare data analytics, high accuracy is both vital and paramount as low accuracy can lead to misdiagnosis, which is known to cause serious health consequences or death. Fast prediction is also considered an important desideratum par
Publikováno v:
Financial Data Analytics ISBN: 9783030837983
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4b00137c2a461404804547c35054d85
https://doi.org/10.1007/978-3-030-83799-0_7
https://doi.org/10.1007/978-3-030-83799-0_7
Autor:
Mohamed Medhat Gaber, Khaled Fawagreh
Publikováno v:
Big Data and Cognitive Computing, Vol 4, Iss 37, p 37 (2020)
Big Data and Cognitive Computing
Volume 4
Issue 4
Big Data and Cognitive Computing
Volume 4
Issue 4
To make healthcare available and easily accessible, the Internet of Things (IoT), which paved the way to the construction of smart cities, marked the birth of many smart applications in numerous areas, including healthcare. As a result, smart healthc
Publikováno v:
Systems Science & Control Engineering. 2:602-609
Ensemble classification is a data mining approach that utilizes a number of classifiers that work together in order to identify the class label for unlabeled instances. Random forest (RF) is an ensemble classification approach that has proved its hig
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783319441870
EANN
EANN
Random Forest (RF) is an ensemble classification technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is still ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7120c3ff595e69f87014b99e8ae5047d
https://doi.org/10.1007/978-3-319-44188-7_20
https://doi.org/10.1007/978-3-319-44188-7_20
Publikováno v:
Research and Development in Intelligent Systems XXXII ISBN: 9783319250304
SGAI Conf.
SGAI Conf.
Random Forest (RF) is an ensemble supervised machine learning technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its superiority. Many researchers, however, believe that there is still ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb938a7777acb870a22a319e71f1e707
https://doi.org/10.1007/978-3-319-25032-8_4
https://doi.org/10.1007/978-3-319-25032-8_4
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2014 ISBN: 9783319108391
IDEAL
IDEAL
Random Forest is an ensemble learning method used for classification and regression. In such an ensemble, multiple classifiers are used where each classifier casts one vote for its predicted class label. Majority voting is then used to determine the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b579e76c033722cdfb7a1ab762be9b48
https://doi.org/10.1007/978-3-319-10840-7_11
https://doi.org/10.1007/978-3-319-10840-7_11