Abstract Auto-regressive integrated moving average (ARIMA) assessment of traffic noise was conducted on different routes in Port Harcourt, Nigerian metropolis. This achieved by measuring the various asphalt flexible and concrete rigid pavement structures with a meter for sound measurement regards to volume traffic, vehicle movement rate, location away from midpoint highway. The peak obtained at...

Prediction models based on different concepts have been proposed in recent years. Improving the accuracy of prediction models has remained as a challenging task for researchers. The prediction accuracy depends not only on the model but also on the complexity of the data. Hence, it is important to choose the best model based on the complexity of data in the prediction. The time series prediction...

Climate and rainfall are highly non-linear and complicated phenomena, which require sophisticated computer modelling and simulation for accurate prediction. An artificial intelligence technology allows knowledge processing and can be used .as forecasting tool. For example, the application of Artificial Neural Networks (ANN), to predict the behaviors of nonlinear systems has become an attractive...

Sugarcane industry is of crucial importance to the South Asian countries. These countries depend heavily on agriculture and sugarcane has immense potential contribute towards its economic development. Hence, precise timely forecast production concern for farmers, policy makers other stakeholders. In this manuscript, we strived growth rate important commodity using standard statistical approache...

Malaysia often suffers from haze problems almost every year. Therefore, there is a need for good air quality forecasting model monitoring and management purposes. In this study, the based on Long Short-Term Memory Network (LSTM) Auto-Regressive Integrated Moving Average (ARIMA) was developed. The prediction of particulate matter 10 micrometres or less in diameter (PM10) could be made both model...

The sudden unexpected rise in monkeypox cases worldwide has become an increasing concern. zoonotic disease characterized by smallpox-like symptoms already spread to nearly twenty countries and several continents is labeled a potential pandemic experts. infections do not have specific treatments. However, since smallpox viruses are similar administering antiviral drugs vaccines against could be ...

A deep learning network is introduced to predict concentrations of gases in the underground coal mine enclosed region using various IoT-enabled gas sensors installed a metallic chamber. The air sucked automatically at specific intervals from sealed-off site utilizing solenoid valve, suction pump, and programmed microprocessor. monitor content communicate concentration surface server room throug...

Oil is one of the vital energy sources in a country. Indonesia countries that was once world's primary leading producer but currently threatened with an oil deficit. This condition certainly requires right strategy and policy so can meet its domestic needs. study aims to forecast Indonesia's consumption production for 2022-2026 using past data from 1980-2021. used Auto-Regressive Integrated Mov...

To model the trajectory of pandemic in Kuwait from February 24, 2020 to 28, 2021, we used two modeling procedures: Auto Regressive Integrated Moving Average (ARIMA) with structural breaks and Multivariate Adaptive Regression Splines (MARS), then mapped key breakpoints models set government-enforced interventions. The MARS model, as opposed ARIMA provides a more precise interpretation interventi...