The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Since flooding incidences are becoming more frequent and serious globally due to climate change, flood prediction has become more crucial than ever. Recently, in forecasting systems, Machine Learning ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...