User profiles for Azeddine Zahi
Azeddine ZahiProfesseur d'informatique, Universit� Sidi Mohamed Ben abdellah Verified email at usmba.ac.ma Cited by 1023 |
[HTML][HTML] Feature selection methods and genomic big data: a systematic review
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, …
to become a game changer that can help substantially reduce the complexity of the data, …
Fractional-order orthogonal Chebyshev moments and moment invariants for image representation and pattern recognition
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 …
Fractional-order Chebyshev Moments (FCM). We initially introduce the necessary relations and …
[PDF][PDF] Design of radial basis function neural networks for software effort estimation
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 …
providing accurate estimates of the software project under development is still unachievable …
3D image analysis by separable discrete orthogonal moments based on Krawtchouk and Tchebichef polynomials
In this paper, we introduce new sets of separable discrete moments for 3D image analysis,
named: TKKM (Tchebichef-Krawtchouk-Krawtchouk Moments) and TTKM (Tchebichef-…
named: TKKM (Tchebichef-Krawtchouk-Krawtchouk Moments) and TTKM (Tchebichef-…
Uncertainty management in software effort estimation using a consistent fuzzy analogy-based method
Software effort estimation is a critical task in software project development management.
Unfortunately, the uncertainty and inaccuracy are inherent properties of the software effort …
Unfortunately, the uncertainty and inaccuracy are inherent properties of the software effort …
A new nearest neighbor classification method based on fuzzy set theory and aggregation operators
The Fuzzy Nearest Neighbor Classification (FuzzyNNC) has been successfully used, as a
tool to deal with supervised classification problems. It has significantly increased the …
tool to deal with supervised classification problems. It has significantly increased the …
[PDF][PDF] Robust face recognition using convolutional neural networks combined with Krawtchouk moments.
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 …
and the variety of face expressions performed by distinct subjects. Thus, many features have …
Multi-point relay selection strategies to reduce topology control traffic for OLSR protocol in MANETs
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 …
considered for routing protocols. Optimized Link State Routing (OLSR) is one of the most …
[PDF][PDF] WA-GPSR: Weight-Aware GPSR-Based Routing Protocol for VANET.
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 …
which has been the most efficient solution for Vehicular Ad-hoc Networks (VANETs). The …
Fast and accurate computation of Racah moment invariants for image classification
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 …
introduced in the field of image analysis. This new set can be used to describe pattern feature …