This paper presents a review of the current literature on rough-set-and near-set-based
approaches to solving various problems in medical imaging such as medical image …

Extreme learning machine (ELM) has been developed for single hidden layer feedforward
neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the …

Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is
important to investigate the factors that affect rollover crashes and their influence on driver …

Automatic classification of fruits via computer vision is still a complicated task due to the
various properties of numerous types of fruits. We propose a novel classification method …

Traditionally, the hinge loss is used to construct support vector machine (SVM) classifiers.
The hinge loss is related to the shortest distance between sets and the corresponding …

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 …

The study presented in this paper investigated the possibility of using support vector
machine (SVM) models for crash injury severity analysis. Based on crash data collected at …

Background We proposed a novel classification system to distinguish among elderly
subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and normal …

Diabetes mellitus is a heterogeneous clinical syndrome characterized by hyperglycaemia
and the long-term complications are retinopathy, neuropathy, nephropathy, and …

Kernel methods and rough sets are two general pursuits in the domain of machine learning
and intelligent systems. Kernel methods map data into a higher dimensional feature space …