Computer-aided diagnosis (CAD) systems are considered a powerful tool for physicians to
support identification of the novel Coronavirus Disease 2019 (COVID-19) using medical …

An image quality index plays an increasingly vital role in image processing applications for
dynamic monitoring and quality adjustment, optimization and parameter setting of the …

A very recent methodology of data sampling with a sub-Nyquist rate is compressive sensing
(CS). CS theory is established based on the higher sparsity of the data containing …

Electrocardiogram (ECG) is the most vital biosignal of the body. It contains a variety of
important clinical pieces of information and it is the fastest approach to asses the health …

In a wide range of ML applications, the training data contains privacy-sensitive information
that should be kept secure. Training the ML systems by privacy-sensitive data makes the ML …

This chapter analytically compares the efficiency of the recent plant biology-inspired genetic
algorithm (PBGA) and the firefly algorithm (FA) optimizer. The comparison is over a range of …

Technological advancements have helped a lot in improving modern medicine. The
combination of technology and clinical knowledge has allowed for faster and more precise …

Artificial neural networks (ANN) have a great impact on research in the field of artificial
intelligence. It has great capability besides the easy implementation, and due to that, it has …

The construction industry is called a high-risk industry globally, and improving safety in the
construction industry has always been a significant concern in any country. A large number …

Crossover is an important operator in genetic algorithms. Although hundreds of application
dependent and independent crossover operators exist in the literature, this chapter provides …