Publications by authors named "Emad Asiri"
Article Synopsis
- * This study aims to estimate and predict DW quantities using various machine-learning algorithms, analyzing data from Saudi and Bahrain authorities along with a case study of a family’s waste generation.
- * Results indicate that machine-learning models can effectively predict waste amounts and help design smarter waste management systems, with evaluation metrics showing strong accuracy in predictions.
Background: Maxillofacial injury is a major health concern worldwide. Incidence of maxillofacial fractures is influenced by socio-demographic, economic, and cultural factor of the population investigated. Identifying the patterns of these fractures is crucial to establish effective treatments and prevention measures.
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