Multisensor data fusion in dimensional metrology is used in order to get holistic, more
accurate and reliable information about a workpiece based on several or multiple …

Plant hormones are the molecules that control the vigorous development of plants and help
to cope with the stress conditions efficiently due to vital and mechanized physiochemical …

Pavement cracking is one of the main distresses presented in the road surface. Objective
and accurate detection or evaluation for these cracks is an important task in the pavement …

This paper introduces Learn++, an ensemble of classifiers based algorithm originally
developed for incremental learning, and now adapted for information/data fusion …

As the requirements on the accuracy of nondestructive testing and evaluation are
increasing, multiple nondestructive evaluation (NDE) methods are often employed to …

During the last decades, the art and science of fuzzy logic have witnessed significant
developments and have found applications in many active areas, such as pattern …

Surface defect classification plays a very important role in industrial production and
mechanical manufacturing. However, there are currently some challenges hindering its use …

The healthcare industry is streamlining processes to offer more timely and effective services
to all patients. Computerized software algorithm and smart devices can streamline the …

A new data fusion application is presented, in the context of a national research project. This
project aims to improve the evaluation of indicators or pathologies of in situ concrete …

In this paper, a robust sparse-representation-based inspection system for the detection and
classification of casting hidden defects in radiographs is presented. Four common types of …