Granular spatial information on the distributions of human population is relevant to a variety of fields like health, economics, and other areas of public sector planning. This paper applies ensemble methods and aims at assessing their applicability to analyzing and forecasting population...

Poverty statistics are conventionally compiled using data from household income and expenditure survey or living standards survey. This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial...

This study explains the essentials of artificial intelligence (AI) in big data analytics for the agriculture industry during the COVID-19 pandemic. The systematic review approach was employed for the documentary and analysed using content analysis. In addition, the literature and previous...

Purpose: This research explores the impact of adopting AI-CRM on integration capability, team collaboration, and firm performance. Additionally, it investigates whether big data analytical capability significantly influences integration capability, team collaboration, and competitive advantage....

Granular spatial information on the distributions of human population is relevant to a variety of fields like health, economics, and other areas of public sector planning. This paper applies ensemble methods and aims at assessing their applicability to analyzing and forecasting population...