The MLWFA (Multilingual Weather Forecasts Assistant) system will be demonstrated. It is developed to generate the multilingual text of the weather forecasts automatically. The raw data from the weather observation can be used to generate the weather element chart. According to the weather change trend, the forecasters can directly modify the value Of the element on the chart, such as the center...

A simple model for weather forecasting has been described. The model is simple due to the fact that it uses simple mathematical equation using Multiple Linear Regression (MLR) equations that can be easily understood by a medium educated farmer. Weather data at a particular station is recorded which is a time-series data. The weather parameters like maximum temperature, minimum temperature and r...

Weather forecasting needs a lot of computing power. It is generally accomplished by using supercomputers which are expensive to rent and to maintain. In addition, weather services also have to maintain radars, balloons and pay for worldwide weather data measured by stations and satellites. Weather forecasting computations usually consist of solving differential equations based on the measured p...

The MLWFA (Multilingual Weather Forecasts Assistant) system will be demonstrated. It is developed to generate the multilingual text of the weather forecasts automatically. The raw data from the weather observation can be used to generate the weather element chart. According to the weather change trend, the forecasters can directly modify the value Of the element on the chart, such as the center...

This paper presents an evaluation of how data augmentation and inter-class transformations can be used to synthesize training in low-data scenarios for single-image weather classification. In such scenarios, augmentations is a critical component, but there limit much improvements gained using classical strategies. Generative adversarial networks (GAN) have been demonstrated generate impressive ...

The main object of the research was to assess forecast values weather parameters by using three-time series methods such as Decomposition time series, Autoregressive (AR) model with seasonal dummies and moving average (ARMA) /Autoregressive Integrated (ARIMA) model. A recent phenomenon in changing has disturbed world general Pakistan particular. In due climate change, flood heat stroke have tak...