In current studies, India is a farming country, and the accomplishment or disappointment of
the crop mainly depends on the country's rainfall design. Generally, India's farming …

This paper presents a comprehensive evaluation of machine learning algorithms for rainfall
prediction in the Nyando region. The study employs LSTM, XGBoost, Random Forest, and …

Large-scale analysis of data requires a significant amount of computing power and
resources, so the vast and flexible interpreting, preservation, and remote servers that cloud …

The main idea of this chapter is to investigate a machine learning (ML) approach to help
students select the ideal college for them after the preparatory year, based on the inputs …

Rainfall plays a prominent role in managing of water resources. The accurate prediction of
rainfall is the greatest challenge in the field of hydrologic studies. The prediction of rainfall is …

Rainfall prediction is vital for various applications such as agriculture, flood control, and
water resource management. Accurate rainfall prediction can help farmers to make …

Every government takes initiative for the well-being of their citizens in terms of environment
and climate in which they live. Global warming is one of the reason for climate change. With …

This research aimed to explore the viability of utilizing machine learning algorithms for
predicting rainfall. The study involved the examination of four distinct models: linear …

Trust on cloud services is a serious concern regardless of the increasing deployment and
utilization of mission critical applications, which continues to obstruct users from complete …

Indonesia is a tropical area; weather forecasting is a challenge. Weather can be affected by
temperature, air pressure, wind speed, wind direction, humidity, and precipitation. The …