Weather is a phenomenon that affects everything and everyone around us on a daily basis.
Weather prediction has been an important point of study for decades as researchers have …

Weather prediction is one of the most important research areas due to its applicability in real-
world problems like meteorology, agricultural studies, etc. We propose a method for …

In weather forecasting, we predict atmospheric conditions for specific location and time.
Meteorology is used to plot atmospheric change for the desire location by collecting …

Meteorological scientists always try to find means to understand the atmosphere of the
Earth, and to develop accurate weather prediction models. Several methods have been …

The activities of many primary sectors depend on the weather for production, eg farming.
The climate is changing at a drastic rate nowadays, which makes the old weather prediction …

This study is based on temperature prediction in the capital of India (New Delhi). We have
adopted different ML models such as (MPR and DNN) which are designed and implemented …

The primary objective of the model applied in this work is to predict the weather of a city
named Austin in Texas using supervised machine learning algorithms. In this case, artificial …

Rainfall prediction is the one of the important technique to predict the climatic conditions in
any country. This paper proposes a rainfall prediction model using Multiple Linear …

Planning the daily routines of human life depends heavily on the weather. Knowing the
weather ahead of time substantially aids in better planning for aviation, agriculture, tourism …

Climate change has affected the weather forecast on a regular basis compared to reality.
Meanwhile, weather forecast plays an important role in daily life and especially it affects …