Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karpagam Sundararajan"'
Publikováno v:
IEEE Access, Vol 12, Pp 96878-96892 (2024)
Droughts typically develop gradually, and early prediction is crucial for the government to formulate effective mitigation plans. Our approach does not involve predicting specific drought index values. Instead, we forecast whether a particular year w
Externí odkaz:
https://doaj.org/article/89680ce00ff549ab840fa201865d4ee0
Autor:
Jayakumar Kaliappan, Kathiravan Srinivasan, Saeed Mian Qaisar, Karpagam Sundararajan, Chuan-Yu Chang, Suganthan C
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate predic
Externí odkaz:
https://doaj.org/article/e1ed699a11cc4dfb9b1f07ee79904dbe
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
An intrusion detection system (IDS) helps to identify different types of attacks in general, and the detection rate will be higher for some specific category of attacks. This paper is designed on the idea that each IDS is efficient in detecting a spe
Externí odkaz:
https://doaj.org/article/62b72aaa05cf4625a1de82b0bd5481d2
Publikováno v:
Sustainability; Volume 15; Issue 2; Pages: 929
Drought directly affects environmental sustainability. Predicting the drought at the earliest opportunity will help to execute drought mitigation plans. Several drought indices are used to predict the severity of drought across different geographical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e4e7d687eca56abcacd4dd7128bb31f
Autor:
Chuan-Yu Chang, Saeed Mian Qaisar, Karpagam Sundararajan, Kathiravan Srinivasan, Jayakumar Kaliappan, Suganthan C
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Frontiers in Public Health
Frontiers in Public Health
This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da54983a92a083e3bdd2acd6b0a617a
https://doi.org/10.3389/fpubh.2021.729795
https://doi.org/10.3389/fpubh.2021.729795
Machine learning is a part of artificial intelligence in which the learning was done using the data available in the environment. Machine learning algorithms are mainly used in game development to change from presripted games to adaptive play games.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0875886a1724f182484e2af765e33fd6
https://doi.org/10.4018/978-1-5225-9643-1.ch020
https://doi.org/10.4018/978-1-5225-9643-1.ch020
Publikováno v:
International Arab Journal of Information Technology (IAJIT); 2015, Vol. 12 Issue 6A, p728-734, 7p