Seasonal patterns and of food production are linked with each other, which contributes to have a significant impact on the economy country. Seasons other. Because this, it is utmost importance establish projections about that sensitive variations in climate, will ultimately result satisfied customers successful production. vital trustworthy techniques dairy forecasting order prevent shortage an...

Devido ao crescimento desordenado das cidades, a expansão da industrialização e do agronegócio, o Brasil já enfrenta problemas de escassez hídrica. A gestão dos recursos hídricos é suma importância para minimizar os transtornos causados por esse tipo problema. Neste sentido, previsão vazões tem significativa gerenciamento hídricos, com destaque modelos estocásticos séries temporais, que vêm sen...

BACKGROUND Determining the temporal variation and forecasting the incidence of smear positive tuberculosis (TB) can play an important role in promoting the TB control program. Its results may be used as a decision-supportive tool for planning and allocating resources. The present study forecasts the incidence of smear positive TB in Iran. METHODS This a longitudinal study using monthly tuberc...

This research aimed at modelling and forecasting the quarterly GDP of Nigeria using Seasonal Artificial Neural Network (SANN), SARIMA Box-Jenkins models as well comparing their predictive performance. The three mentioned earlier were successfully fitted to data set. Tentative architecture for SANN was suggested by varying number neurons in hidden layer while that input output remained constant ...

Flooding is the most common natural disaster and continues to increase in frequency intensity due climate changes [7]. Currently, there a lack of efficient tools predict flooding. This research aimed create Time Series Machine Learning (ML) program using Auto Regressive Moving Average (ARIMA) models forecast streamflow, one prominent factors flood prediction. A streamflow dataset from Ganges Ri...

The choice of holiday destinations is highly depended on climate considerations. Nowadays, since the effects crisis are being increasingly felt, need for accurate weather and services hotels crucial. Such a service could be beneficial both future planning tourists’ activities hotel managers as it help in decision making about expansion touristic season, due to prediction higher temperatures lon...