output
19962026
most citedA multipath energy-conserving routing protocol for wireless ad hoc networks lifetime improvement

46 citations

researchers with a paper here
collaborating institutions

37 papers

cs.LG2026★ 6 cited

Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

Abdelkader Dairi, Fouzi Harrou, Ying Sun

Accurate particulate matter (PM) prediction is crucial for mitigating air pollution. Graph Neural Networks (GNNs) effectively model spatiotemporal dependencies, but predefined grap…

cs.RO2026

Convex-Neural RRT*: Fast and Reliable Learning-Guided Sampling for High-Quality Robot Path Planning

Hichem Cheriet, Badra Khellat Kihel, Samira Chouraqui +1

Sampling-based algorithms for robot path planning offer probabilistic completeness and strong empirical convergence properties across environments with diverse obstacle configurati…

cs.RO2025

Enhanced UAV Path Planning Using the Tangent Intersection Guidance (TIG) Algorithm

Hichem Cheriet, Khellat Kihel Badra, Chouraqui Samira

Efficient and safe navigation of Unmanned Aerial Vehicles (UAVs) is critical for various applications, including combat support, package delivery and Search and Rescue Operations.…

math.OC2024

Sensitivity analysis of multiobjective linear programming from a geometric perspective

Mustapha Kaci

Sensitivity analysis plays a crucial role in multiobjective linear programming (MOLP), where understanding the impact of parameter changes on efficient solutions is essential. This…

math.OC2023★ 1 cited

A new geometric approach for sensitivity analysis in linear programming

Mustapha Kaci, Sonia Radjef

In this paper, we present a new geometric approach for sensitivity analysis in linear programming that is computationally practical for a decision-maker to study the behavior of th…

cond-mat.dis-nn2023★ 1 cited

Anisotropy effects on the quantum transport of atomic matter waves

Afifa Yedjour, Abdelaali Boudjemaa

We discuss effects of anisotropic scattering in transport properties of ultracold atoms in three-dimensional optical potentials. Within the realm of the first Born approximation, w…