Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …

Digital pathology represents a major evolution in modern medicine. Pathological
examinations constitute the standard in medical protocols and the law, and call for specific …

Heart failure (HF) has been considered as one of the deadliest human diseases worldwide
and the accurate prediction of HF risks would be vital for HF prevention and treatment. To …

Decision tree algorithm is one of the algorithm which is easily understandable and
interpretable algorithm used in both training and application purpose during breast cancer …

Chronic kidney disease (CKD) is one of the serious health concerns in the twenty-first
century. CKD impacts over 37 million Americans. By applying machine learning (ML) …

Texture classification is an active area of research in the field of pattern recognition.
Convolutional neural networks (CNNs) have a remarkable capability of recognizing patterns …

Classification is a supervised machine learning technique to categorize data into a
predefined and distinct number of classes. Again, in the real world, most of these data set …

Rule reduction is one of the research objectives in numerous successful rule-based
systems. In some analyses, too many useless rules may be a concern in a rule-based …

Abstract Nowadays Denial of Service (DoS) attack is one of the security threats that make
the online services unavailable for legitimate users. Therefore, a DoS attack detection …

In the present competitive environment, a farmer needs better education, business expertise
and good knowledge of technologies and tools to be successful in agriculture. Farmers …