Metaheuristic algorithms are well-known and widely used strategies for tackling optimization
issues. Each has advantages and limitations and is frequently combined with other …

Blind image Steganalysis is gaining lot of importance these days owing to its application in
cyberwarfare, computer forensics, tracking anti-social elements over internet. In this paper a …

The present study suggests a statistical Machine learning method to predict gender based
on facial features using different facial features of a person. The dataset contains eight …

The hypothesis of Pythagorean Fuzzy Sets (PFSs), in contrast to Intuitionistic Fuzzy Sets
(IFSs), is more practically applicable for the purpose of accumulating inconsistency, and …

The k-nearest neighbors (k NN) algorithm is widely used for classification but uses all
training instances, leading to high memory usage. Existing techniques for reducing the data …

An accurate diagnosis is significant in preventing blindness because ophthalmology is one
of the most prevalent causes of blindness worldwide. Glaucoma is diagnosed with a …

Market analyzers use different parameters as features in the market data to analyze the
market trends. The feature's values act as a signal to market fluctuations. Many studies have …

Zoonotic diseases pose a growing health risk in develo** nations because of the ongoing
animal-human interaction. India has experienced significant urbanization in recent years …

Scientific support depot location and reasonable spare parts transportation are the keys to
improving the support level of complex systems. The current equipment support system has …

Artificial intelligence together with its applications are advancing in all fields, particularly
medical science. A considerable quantity of clinical data is available, yet the vast majority of …