A novel approach for weather prediction for agriculture in Sri Lanka using Machine Learning techniques
J Premachandra, P Kumara - 2021 International Research …, 2021 - ieeexplore.ieee.org
Climate variability in recent years has critically affected the usual aspects of human lives,
where the agriculture sector can be considered as one of the most vulnerable. Sri Lanka is …
where the agriculture sector can be considered as one of the most vulnerable. Sri Lanka is …
[HTML][HTML] Early diagnosis of diabetes mellitus using data mining and classification techniques
SAM Dezfuli, SRM Dezfuli, SVM Dezfuli… - Jundishapur Journal of …, 2019 - brieflands.com
Background: According to the World Health Organization, the seventh major cause of human
death in 2030 will be diabetes, which of course is a very severe disease and if not treated …
death in 2030 will be diabetes, which of course is a very severe disease and if not treated …
Ensemble Methods based Machine Learning Approach for Weather Prediction for Precision Agriculture
J Premachandra, P Kumara… - 2021 21st International …, 2021 - ieeexplore.ieee.org
Agriculture sector in developing countries including Sri Lanka has been highly affected by
recent climatic variabilities. Expected raining might not occur at the expected time, due to …
recent climatic variabilities. Expected raining might not occur at the expected time, due to …
Machine Learning Application for Diabetes Prediction Using Ensemble Classification
T Dhiman, S Goyal, NT Singh… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Data mining is a useful method for extracting meaningful information from massive volumes
of records. Statistics and machine learning may be utilised to evaluate large-scale patterns …
of records. Statistics and machine learning may be utilised to evaluate large-scale patterns …