The highly pathogenic avian influenza A virus subtype H5N1 (HPAI H5N1) is a deadly zoonotic pathogen. Its persistence in poultry in several countries is a potential threat: a mutant or genetically reassorted progenitor might cause a human pandemic. Its world-wide eradication from poultry is important to protect public health. The global trend of outbreaks of influenza attributable to HPAI H5N1 ...

Analyses from some of the highway agencies show that up to 50% permanent traffic counts (PTCs) have missing values. It will be difficult to eliminate such a significant portion of data from traffic analysis. Literature review indicates that the limited research uses factor or autoregressive integrated moving average (ARIMA) models for predicting missing values. Factor-based models tend to be le...

Today, there is a crucial need for precise monitoring and prediction of energy consumption at the building level using latest technologies including Internet Things (IoT) data analytics to determine enhance usage. Data-driven models could be used prediction. However, due high non-linearity between inputs outputs models, these improvement in terms accuracy robustness. Therefore, this work aims p...

The Philippines is one of the fastest urbanizing countries in East Asia and Pacific region (Baker & Watanabe, 2017). Despite having its advantages, urbanization still has challenges that require extensive urban management development programs for it to be prevented minimized. In this paper, researchers forecasted population growth using Autoregressive Integrated Moving Average (ARIMA) Model...

Dataset with Outliers causes poor accuracy in future analysis of data mining tasks. To improve the performance of mining task, it is necessary to detect and revamp of outliers which are there in the dataset. Existing techniques like ARMA (Auto-Regressive Moving Average), ARIMA (AutoRegressive Integrated Moving Average) and Multivariate Linear Gaussian state space model don't consider the p...

Temperature forecasts and trend analyzes were carried out for several locations in Mali as an important tool warning of potentially threatening weather events such severe heat waves, storms, droughts floods, which could pose a great risk to humans their environment. Five (Segou, Sikasso, Kayes, Gao Taoudenni) across (170 00’N – 40 00’W) chosen this research work. Satellite data annual temperatu...