In the era of accelerating growth of genomic data, feature-selection techniques are believed
to become a game changer that can help substantially reduce the complexity of the data, …

In this paper, we present a new set of fractional-order orthogonal moments, named
Fractional-order Chebyshev Moments (FCM). We initially introduce the necessary relations and …

In spite of the several software effort estimation models developed over the last 30 years,
providing accurate estimates of the software project under development is still unachievable …

In this paper, we introduce new sets of separable discrete moments for 3D image analysis,
named: TKKM (Tchebichef-Krawtchouk-Krawtchouk Moments) and TTKM (Tchebichef-…

Software effort estimation is a critical task in software project development management.
Unfortunately, the uncertainty and inaccuracy are inherent properties of the software effort …

The Fuzzy Nearest Neighbor Classification (FuzzyNNC) has been successfully used, as a
tool to deal with supervised classification problems. It has significantly increased the …

Face recognition is a challenging task due to the complexity of pose variations, occlusion
and the variety of face expressions performed by distinct subjects. Thus, many features have …

Reducing Topology Control (TC) traffic is one of the most important issues that need to be
considered for routing protocols. Optimized Link State Routing (OLSR) is one of the most …

The extremely fast topology has created new requirements for the geographic routing protocol,
which has been the most efficient solution for Vehicular Ad-hoc Networks (VANETs). The …

In this paper, a new set of moment invariants, named Racah Moment Invariants (RMI), is
introduced in the field of image analysis. This new set can be used to describe pattern feature …