Artificial Intelligence

Classification of Leukocytes: Comparison of different feature extraction and machine learning approaches

Blood cells can be separated into three types: erythrocytes, leukocytes and platelets, and to evaluate the health of a patient, a Complete Blood Count (CBC) is necessary. CBC is amongst the most performed tests worldwide, and when evaluated manually …

Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases

The coronavirus disease (COVID-19), according to the World Health Organization, by September 4th, 2020, has infected more than 26 million people, and more than 865 thousand have died from it in the worldwide. It is important to forecast the incidence …

Artificial intelligence and signal decomposition approach applied to retail sales forecasting

Sales forecasting is essential for decision-making and are crucial in many areas of a firm, such as planning and scheduling, resource management, marketing, logistics, and supply chain. Due to the fluctuations in retail sales, prediction with high …

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

The novel coronavirus disease (COVID-19) is a public health problem once according to the World Health Organization up to June 24th, 2020, more than 9.1 million people were infected, and more than 470 thousand have died worldwide. In the current …