Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lasini WİCKRAMASİNGHE"'
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the
Externí odkaz:
https://doaj.org/article/135d5c6e33ac4c9eb1d9965471f414ac
Publikováno v:
Volume: 35, Issue: 4 1359-1370
Gazi University Journal of Science
Gazi University Journal of Science
This paper presents the development of wind energy prediction models for the Nala Danavi wind farm in Sri Lanka by using machine learning and statistical techniques. Wind speed and ambient temperature were used as the input variables in modeling whil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d69ad9431b3d164e9b893365dae95e69
https://doi.org/10.35378/gujs.961338
https://doi.org/10.35378/gujs.961338
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
This paper presents the development of models for the prediction of power generation at the Samanalawewa hydropower plant, which is one of the major power stations in Sri Lanka. Four regression-based machine learning and statistical techniques were a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb90d76581e3831108640ecd9c496d84
https://doi.org/10.1155/2021/4913824
https://doi.org/10.1155/2021/4913824
Positioning or location estimation systems are adopted widely in modern world, to locate objects or users. Current broadly adopted positioning sys- tems such as global positioning system (GPS) or global navigation satellite system (GNSS) are limited
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::bdc8215a8c8267a35d9ea852ddb8bf03
https://zenodo.org/record/7002012
https://zenodo.org/record/7002012
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbf6638a76e18aa4793a64e01f12649d
Relationships between climatic factors to the paddy yield in the North-Western Province of Sri Lanka
Publikováno v:
2020 International Research Conference on Smart Computing and Systems Engineering (SCSE).
Climate variation is one of the major impacting issues for paddy cultivation. It also highly impacts the harvest. Therefore, many researchers try to understand the relationships between climatic factors and harvest using numerous methods. Sri Lanka i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c024f257822ab484402dc71bb4e0050c
https://doi.org/10.1109/scse49731.2020.9313047
https://doi.org/10.1109/scse49731.2020.9313047
Autor:
Jeevani Jayasinghe, Anushka Perera, Vinushi Amaratunga, Lasini Wickramasinghe, Upaka Rathnayake
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
Paddy harvest is extremely vulnerable to climate change and climate variations. It is a well-known fact that climate change has been accelerated over the past decades due to various human induced activities. In addition, demand for the food is increa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::139de093847035981f83f3dd6a0084b4