With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

Computational intelligence is one of the most powerful data processing tools to solve
complex nonlinear problems, and thus plays a significant role in intelligent fault diagnosis …

To timely detect the incipient failure of rolling bearing and find out the accurate fault location,
a novel rolling bearing fault diagnosis method is proposed based on the composite …

Heart disease is one of the most complicated diseases, and it affects a large number of
individuals throughout the world. In healthcare, particularly cardiology, early and accurate …

We consider the problem of learning causal directed acyclic graphs from an observational
joint distribution. One can use these graphs to predict the outcome of interventional …

In this paper, an advanced novel heuristic algorithm is presented, the hybrid genetic
algorithm with neural networks (HGA-NN), which is used to identify an optimum feature …

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents
an accessible treatment of the two main components of support vector machines (SVMs) …

Random forests (RF) has become a popular technique for classification, prediction, studying
variable importance, variable selection, and outlier detection. There are numerous …

The compressive strength of high performance concrete (HPC) is a highly nonlinear function
of the proportions of its ingredients. The validity of relationships between concrete …

Worm gearboxes (WG) are frequently used in many areas of the industry. WG is different
from other gearbox types and due to their working principles they are under high risk of wear …