Feature selection is an important and challenging task in machine learning and data mining
techniques to avoid the curse of dimensionality and maximize the classification accuracy …

Edge detection is long established in computer eyesight applications such as article
identification, shape matching, medical image classification, etc. For this reason, many edge …

Swarm intelligence-based feature selection techniques are implemented by this work to
increase classifier performance in classifying Amphetamine-type Stimulants (ATS) drugs. A …

Soft Computing becomes visible in the field of computer science. The soft computing (SC)
comprises of several basic methods such as Fuzzy logic (FL), Evolutionary Computation …

Aiming at the insufficiency of the remaining energy detection methods for decommissioned
batteries specified in the current national standards, it is proposed to use neural networks to …