Classification is a hotspot in data stream mining and has gained increasing interest from
various research fields. Compared with traditional data stream classification methods …

This work investigates the application of extreme learning machine, a fast training neural
network model, for an ultrasound nondestructive evaluation decision support system. A …

This paper presents a methodology that permits to automate binary classification using the
minimum possible number of attributes. In this methodology, the success of the binary …

This paper deals with collision and hazard detection for motorcycles via inertial
measurements. For this kind of vehicles, the most difficult challenge is to distinguish road's …

Stomatal conductance (Gs) reflects the extent of water stress experienced by crops, which
plays a crucial role in precision irrigation and water resource management. High …

In this paper, we present a novel approach to the verification of users through their own
handwritten static signatures using the extreme learning machine (ELM) methodology. Our …

This paper described the nascent filed of big health data classification and disease
probability prediction based on multi-GPU cluster MapReduce platform. Firstly, we …

One of the most important open problems in the field of computer-aided design and
computer graphics is the task of surface registration for non-isometric cases. One of the …

In this paper, an approach for probability-based class prediction is presented. This approach
is based on a combination of a newly proposed Histogram Probability (HP) method and any …