This paper extends the concept of learning poverty to provide local-level estimates of the share of children at age 10 who can read and understand a simple text in Colombia. The learning poverty indicator combines the share of children who are out of school and thus schooling deprived with the...

Coronary Heart Disease (CHD) is a life-threatening public health problem. Many chronic CHDs and health risks can be avoided, reversed, and reduced with proper risk assessment. Medical professionals find it challenging to anticipate heart attacks and heart failures since it is a complex process...

This paper identifies the most significant learning factors impacting undergraduate academic performance using artificial neural networks (ANNs) and controlled student data collection. As higher education becomes increasingly common and important, finding the best ways to help students optimize...

Training a Convolutional Neural Network (CNN) from scratch is time-consuming and expensive. In this study, we propose implementing the DenseNet architecture for classification of AD in three classes. Our approach leverages transfer learning architectures as the base model and showcases superior...

Identifying models with Infinite Impulse Response (IIR) is crucial in signal processing and system identification. This paper addresses the challenges of IIR model identification by proposing an improved version of the Artificial Rabbits Optimization (ARO) algorithm called improved ARO (IARO)....

Malaria represents a potentially fatal communicable illness triggered by the Plasmodium parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes that carry the infection. This disease has significant and devastating consequences on the health systems of fragile...