XGBoost Based Machine Learning Techniques for Water Quality Prediction
Water is important to all living beings and is essential to our daily lives. It is used for drinking,
irrigation, and manufacturing. But, as globalisation increased, water lost its purity, and …
irrigation, and manufacturing. But, as globalisation increased, water lost its purity, and …
Water quality monitoring using modified support vector machine algorithm in comparison of accuracy with Adaboost classifier
S Vaishnavi, G Ramkumar - AIP Conference Proceedings, 2024 - pubs.aip.org
The primary objective of this study is to compare the Adaboost method with the Conventional
SVM technique in order to provide an accurate prediction about whether or not the fluid is fit …
SVM technique in order to provide an accurate prediction about whether or not the fluid is fit …
MAKİNE ÖĞRENMESİ ALGORİTMALARI İLE SU KALİTESİ VE İÇİLEBİLİRLİK TAHMİNİ
T Turan - Uluborlu Mesleki Bilimler Dergisi - dergipark.org.tr
İçme suyu insanların yaşamlarını sürdürebilmeleri için hayati önem taşıyan temel
ihtiyaçlarının başında gelmektedir. İnsan sağlığını doğrudan etkileyen bu ihtiyacın kalitesini …
ihtiyaçlarının başında gelmektedir. İnsan sağlığını doğrudan etkileyen bu ihtiyacın kalitesini …
[PDF][PDF] AN INTELLIGENT INTERNET OF THINGS MONITORING SYSTEM FOR POTABLE QUALITY WATER: A CASE STUDY IN MANGAUNG AREA
NEOR NTSHAKO - 2021 - researchgate.net
Water quality is of immense importance to the general health and safe livelihoods of people.
This dissertation presents the findings of a study that aimed at developing an intelligent …
This dissertation presents the findings of a study that aimed at developing an intelligent …