Détection et diagnostic des fautes dans des systèmes complexes par approches multi-échelle. (Fault Detection and Diagnosis in Complex Systems by Multi-Scale Approaches). - Achraf Cohen (2015)

The effects of normal mixtures and autocorrelation on the fraction non-conforming. - Achraf Cohen; Raid Amin (Commun. Stat. Simul. Comput., 2017)

Fault Diagnosis by Bayesian Network Classifiers with a Distance Rejection Criterion. - Mohamed Amine Atoui; Achraf Cohen; Phillipe Rauffet; Pascal Berruet (ICINCO (1), 2019)

A single Bayesian network classifier for monitoring with unknown classes. - Mohamed Amine Atoui; Achraf Cohen; Sylvain Verron; Abdessamad Kobi (Eng. Appl. Artif. Intell., 2019)

Fault diagnosis using PCA-Bayesian Network classifier with unknown faults. - Mohamed Amine Atoui; Achraf Cohen (ECC, 2020)

Coupling data-driven and model-based methods to improve fault diagnosis. - Mohamed Amine Atoui; Achraf Cohen (Comput. Ind., 2021)

Detection of data anomalies at the edge of pervasive IoT systems. - Amitabh Mishra; Achraf Cohen; Thomas Reichherzer; Norman Wilde (Computing, 2021)

Unlocked decision making based on causal connections strength. - Mohamed Amine Atoui; Achraf Cohen; Vincent Cocquempot (Eur. J. Control, 2021)

On wavelet-based statistical process monitoring. - Achraf Cohen; Mohamed Amine Atoui (Trans. Inst. Meas. Control, 2022)

On the application of generalized linear mixed models for predicting path loss in LTE networks. - Achraf Cohen; Yazan A. Alqudah (EURASIP J. Adv. Signal Process., 2023)

Academic Advising Chatbot Powered with AI Agent. - Michael Tamascelli; Olivia Bunch; Blake Fowler; Maryam Taeb; Achraf Cohen (ACM Southeast Regional Conference, 2025)

On Accelerating Edge AI: Optimizing Resource-Constrained Environments. - Jacob Sander; Achraf Cohen; Venkat R. Dasari; Kristen Brent Venable; Brian Jalaian (CoRR, 2025)

Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression. - Jacob Sander; David Moe; Achraf Cohen; Kristen B. Venable; Venkat R. Dasari; Brian Jalaian (CoRR, 2025)

Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning. - Huynh T. T. Tran; Jacob Sander; Achraf Cohen; Brian Jalaian; Nathaniel D. Bastian (CoRR, 2025)

The impact of imputation methods on the performance of Phase I Hotelling's T 2 control chart. - Carla Wilson; Achraf Cohen (Commun. Stat. Simul. Comput., 2025)