A heuristic approach for overlay content-caching network design in 5G wireless networks. - Abd AlRahman R. AlMomani; Antonios Argyriou; Melike Erol-Kantarci (ISCC, 2016)

How Entropic Regression Beats the Outliers Problem in Nonlinear System Identification. - Abd AlRahman R. AlMomani; Jie Sun; Erik M. Bollt (CoRR, 2019)

Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19. - Abd AlRahman R. AlMomani; Erik M. Bollt (CoRR, 2020)

An Early Warning Sign of Critical Transition in The Antarctic Ice Sheet. A New Data Driven Tool for Spatiotemporal Tipping Point. - Abd AlRahman R. AlMomani; Erik M. Bollt (CoRR, 2020)

Data-Driven Learning of Boolean Networks and Functions by Optimal Causation Entropy Principle (BoCSE). - Jie Sun; Abd AlRahman R. AlMomani; Erik M. Bollt (CoRR, 2020)

ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations. - Abd AlRahman R. AlMomani; Erik M. Bollt (CoRR, 2020)

Go With the Flow, on Jupiter and Snow. Coherence from Model-Free Video Data Without Trajectories. - Abd AlRahman R. AlMomani; Erik M. Bollt (J. Nonlinear Sci., 2020)

Geometric Partition Entropy: Coarse-Graining a Continuous State Space. - Christopher Tyler Diggans; Abd AlRahman R. AlMomani (Entropy, 2022)

Data-driven learning of Boolean networks and functions by optimal causation entropy principle. - Jie Sun 007; Abd AlRahman R. AlMomani; Erik M. Bollt (Patterns, 2022)

Generalizing Geometric Partition Entropy for the Estimation of Mutual Information in the Presence of Informative Outliers. - Christopher Tyler Diggans; Abd AlRahman R. AlMomani (CoRR, 2024)