Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sameer KAUL"'
Publikováno v:
Journal of Information Systems Engineering and Business Intelligence, Vol 9, Iss 2, Pp 119-135 (2023)
Background: One of the latest issues in predicting cardiovascular disease is the limited performance of current risk prediction models. Although several models have been developed, they often fail to identify a significant proportion of individuals w
Externí odkaz:
https://doaj.org/article/fd897029d83347c5b76b71bb2c4f9677
Publikováno v:
Applied Computer Science, Vol 18, Iss 4, Pp 16-27 (2022)
Rainfall prediction is one of the most challenging task faced by researchers over the years. Many machine learning and AI based algorithms have been implemented on different datasets for better prediction purposes, but there is not a single solution
Externí odkaz:
https://doaj.org/article/2ee692d06e004c79baafca757a2f3744
Publikováno v:
Revue d'Intelligence Artificielle. 37:501-507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a136c16e6be84acb7afb8bf2535931eb
https://doi.org/10.18280/ria.370227
https://doi.org/10.18280/ria.370227
Publikováno v:
Revue d'Intelligence Artificielle. 37:249-256
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d7bbd13c9fdd46c301223bcd37fe18
https://doi.org/10.18280/ria.370201
https://doi.org/10.18280/ria.370201
Publikováno v:
Revue d'Intelligence Artificielle. 37:231-237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4eff96f124eac2209434476ded12d54
https://doi.org/10.18280/ria.370129
https://doi.org/10.18280/ria.370129
Publikováno v:
Revue d'Intelligence Artificielle. 36:409-415
When using machine learning to predict a class with a continuous numeric value, there are several issues. Only a few machine-learning approaches are capable of doing so, but it remains one of the most difficult jobs to do. In this paper, we show how
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bdc6c50903b1414bfd6b3f9febb6d14
https://doi.org/10.18280/ria.360308
https://doi.org/10.18280/ria.360308
Publikováno v:
Revue d'Intelligence Artificielle. 36:105-113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5101555e25c93f19fd88270075fd17c3
https://doi.org/10.18280/ria.360112
https://doi.org/10.18280/ria.360112
Publikováno v:
International Conference on Innovative Computing and Communications ISBN: 9789811925344
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90661c7a4ad2f51107c695d674d5206e
https://doi.org/10.1007/978-981-19-2535-1_63
https://doi.org/10.1007/978-981-19-2535-1_63
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b102e2277a7c4b28609f096581f4e474
https://doi.org/10.14569/ijacsa.2022.0130454
https://doi.org/10.14569/ijacsa.2022.0130454
Analytical Comparison Between the Information Gain and Gini Index using Historical Geographical Data
Publikováno v:
International Journal of Advanced Computer Science and Applications. 11
The historical geographical data of Kashmir province is spread across two disparate files having attributes of Maximum Temperature, Minimum Temperature, Humidity measured at 12 A.M., Humidity measured at 3 P.M., rainfall besides auxiliary parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::814614e31f799334dcaca2ba9a56c8a1
https://doi.org/10.14569/ijacsa.2020.0110557
https://doi.org/10.14569/ijacsa.2020.0110557