In the last few years, the application of Machine Learning approaches like Deep Neural
Network (DNN) models have become more attractive in the healthcare system given the …

The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

Nowadays, learning-based modeling system is adopted to establish an accurate prediction
model for renewable energy resources. Computational Intelligence (CI) methods have …

Electroencephalographic (EEG) recordings generate an electrical map of the human brain
that are useful for clinical inspection of patients and in biomedical smart Internet-of-Things …

In a developed society, people have more concerned about their health. Thus, improvement
of medical field application has been one of the greatest active study areas. Medical …

Water pollution occurs mainly due to inorganic and organic pollutants, such as nutrients,
heavy metals and persistent organic pollutants. For the modeling and optimization of …

The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …

Hydrogen is a clean energy source with a relatively low pollution footprint. However,
hydrogen does not exist in nature as a separate element but only in compound forms …

Many metaheuristic approaches have been developed to select effective features from
different medical datasets in a feasible time. However, most of them cannot scale well to …

In recent years, the continuous growth in global infectious disease coupled with population
growth and the associated increase in expectancy lead to the search for new ways of …