During the past years, the increase in scientific knowledge and the massive data production
have caused an exponential growth in databases and repositories. Biomedical domain …

This paper proposes an improved learning algorithm for classification which is referred to as
voting based extreme learning machine. The proposed method incorporates the voting …

If climate change affects pollinator‐dependent crop production, this will have important
implications for global food security because insect pollinators contribute to production for …

Cancer diagnosis is one of the most studied problems in the medical domain. Several
researchers have focused in order to improve performance and achieve to obtain …

In order for a robot or a computer to perform tasks, it must recognize what it is looking at.
Given an image a computer must be able to classify what the image represents. While this is …

There is a growing interest in automatic classification of mental disorders based on
neuroimaging data. Small training data sets (subjects) and very large amount of high …

In recent years, the Artificial Intelligence and Data Mining (AI&DM) models have become
popular tools in assisting various aspects of reservoir operation. However, the practical uses …

Building seismic assessment is at the forefront of modern scientific research. Several
researchers have proposed methods for estimating the damage response of buildings …

Most of the security threats in various communications networks are posed by the illegitimate
entities that enter or intrude within the network perimeter, which could commonly be termed …

Phishing websites remain a persistent security threat. Thus far, machine learning
approaches appear to have the best potential as defenses. But, there are two main concerns …