output
20162024
most citedAny Quantum Network is Structurally Controllable by a Single Driving Signal

144 citations

15 papers

quant-ph2024★ 5 cited

Exploring the Non-Markovian Dynamics in Depolarizing Maps

Ali Abu-Nada, Subhashish Banerjee, Vivek Balasaheb Sabale

The non-Markovian depolarizing channel is explored from the perspective of understanding its non-Markovian behavior as well as the occurrence of singularities. The study brings tog…

math-ph2023

Quasi-free states on a class of algebras of multicomponent commutation relations

Eugene Lytvynov, Nedal Othman

Multicomponent commutations relations (MCR) describe plektons, i.e., multicomponent quantum systems with a generalized statistics. In such systems, exchange of quasiparticles is go…

cs.SI2023★ 77 cited

M-Centrality: identifying key nodes based on global position and local degree variation

Ahmed Ibnoulouafi, Mohamed El Haziti, Hocine Cherifi

Identifying influential nodes in a network is a major issue due to the great deal of applications concerned, such as disease spreading and rumor dynamics. That is why, a plethora o…

cs.LG2022★ 84 cited

How to Use K-means for Big Data Clustering?

Rustam Mussabayev, Nenad Mladenovic, Bassem Jarboui +1

K-means plays a vital role in data mining and is the simplest and most widely used algorithm under the Euclidean Minimum Sum-of-Squares Clustering (MSSC) model. However, its perfor…

eess.IV2021★ 16 cited

A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging

Abdulla Desmal

A trained-based Born iterative method (TBIM) is developed for electromagnetic imaging (EMI) applications. The proposed TBIM consists of a nested loop; the outer loop executes TBIM…

cs.LG2020★ 39 cited

Survey on Causal-based Machine Learning Fairness Notions

Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi

Addressing the problem of fairness is crucial to safely use machine learning algorithms to support decisions with a critical impact on people's lives such as job hiring, child malt…

cs.LG2020★ 56 cited

Machine learning fairness notions: Bridging the gap with real-world applications

Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi

Fairness emerged as an important requirement to guarantee that Machine Learning (ML) predictive systems do not discriminate against specific individuals or entire sub-populations,…

eess.SP2019★ 29 cited

ANN-assisted CoSaMP Algorithm for Linear Electromagnetic Imaging of Spatially Sparse Domains

Ali I. Sandhu, Salman A. Shaukat, Abdulla Desmal +1

Greedy pursuit algorithms (GPAs) are widely used to reconstruct sparse signals. Even though many electromagnetic (EM) inverse scattering problems are solved on sparse investigation…

eess.SP2019★ 8 cited

An Accelerated Nonlinear Contrast Source Inversion Scheme For Sparse Electromagnetic Imaging

Ali I. Sandhu, Abdulla Desmal, Hakan Bagci

An efficient nonlinear contrast source inversion scheme for electromagnetic imaging of sparse two-dimensional investigation domains is proposed. To avoid generating a sequence of l…

quant-ph2019★ 2 cited

Percolation Transition Control in Quantum Networks

Michael Siomau

Percolation theory allows simple description of the phase transition based on the scaling properties of the network clusters with respect to a single parameter - site or bond occup…

physics.chem-ph2018★ 1 cited

Nucleation Rates of Water Using Adjusted SAFT-0 EOS

Fawaz Hrahsheh

The SAFT-0 is an equation of state (EOS) that considers the effects of molecular association based on the statistical association fluid theory (SAFT). This EOS recently showed rela…

astro-ph.EP2017★ 14 cited

On the planar central configurations of rhomboidal and triangular four- and five-body problems

M. Shoaib, A. R. Kashif, I. Szucs-Csillik

We consider a symmetric five-body problem with three unequal collinear masses on the axis of symmetry. The remaining two masses are symmetrically placed on both sides of the axis o…

quant-ph2017★ 144 cited

Any Quantum Network is Structurally Controllable by a Single Driving Signal

Michael Siomau

Control theory concerns with the question if and how it is possible to drive the behavior of a complex dynamical system. A system is said to be controllable if we can drive it from…

cs.CY2016★ 6 cited

Students' patterns of interaction with a mathematics intelligent tutor: Learning analytics application

Anita Dani

The purpose of this paper is to determine potential identifiers of students' academic success in foundation mathematics course from the data logs of an intelligent tutor. A cross-s…

math.NA2016

Solution of constrained mechanical multibody systems using Adomian decomposition method

Brahim Benhammouda

Constrained mechanical multibody systems arise in many important applications like robotics, vehicle and machinery dynamics and biomechanics of locomotion of humans. These systems…