Nowadays, machine learning algorithms have become very important in the medical sector,
especially for diagnosing disease from the medical database. Many companies using these …

Machine Learning is a significant technique to realize Artificial Intelligence. The Random
Forest Algorithm can be considered as one of the Machine Learning's representative …

Digital image authentication techniques have recently gained a lot of attention due to their
importance to a large number of military and medical applications, banks, and institutions …

A combination of cryptography and steganography techniques are used to protect and
conceal the existence of sensitive data. With the rapid developments of 3D imaging …

Nature-inspired algorithms are often used by several diverse areas of engineering and
science due to their easiness and versatility. Because metaheuristics operate by structurally …

Examination timetabling is a discrete, multi-objective and combinatorial optimization
problem which tends to be solved with a cooperation of stochastic search approaches such …

In recent times, machine learning algorithms have gained significant traction in addressing
aerodynamic challenges. These algorithms prove invaluable for predicting the aerodynamic …

Swarm intelligence (SI) can be described as the behavior of a collection of self-organized
swarms. There are plenty of examples of such swarms in real life. Such as bird flocks, fish …

It is important to securely send information through the Internet; thus, technologies for safely
exchanging information are required. One such technology is steganography, which …

Day by day digital watermarking is getting more attention in medical image security related
research area. As we know digital multimedia applications provide a robust and easy data …