Fouzi Harrou

J. Big Data, December, 2023

Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach.

[BibT_eX]

[DOI]

IEEE Des. Test, August, 2023

Efficient Sitting Posture Recognition for Wheelchair Users: An Unsupervised Data-Driven Framework.

[BibT_eX]

[DOI]

IEEE Instrum. Meas. Mag., June, 2023

Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2023

Predicting Electric Vehicle Charging Stations Occupancy: A Federated Deep Learning Framework.

[BibT_eX]

[DOI]

Lydia Douaidi

Sidi-Mohammed Senouci

Inès El Korbi

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

2022

Deep Generative Learning-Based 1-SVM Detectors for Unsupervised COVID-19 Infection Detection Using Blood Tests.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Toward Emerging Cubic-Spline Patterns With a Mobile Robotics Swarm System.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2022

Cyber-attacks detection in industrial systems using artificial intelligence-driven methods.

[BibT_eX]

[DOI]

Wu Wang

Benamar Bouyeddou

Sidi-Mohammed Senouci

Int. J. Crit. Infrastructure Prot., 2022

Efficient land desertification detection using a deep learning-driven generative adversarial network approach: A case study.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

Machine learning and deep learning-driven methods for predicting ambient particulate matters levels: A case study.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2022

A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems.

[BibT_eX]

[DOI]

Wu Wang

Benamar Bouyeddou

Sidi-Mohammed Senouci

Clust. Comput., 2022

Efficient Driver Drunk Detection by Sensors: A Manifold Learning-Based Anomaly Detector.

[BibT_eX]

[DOI]

IEEE Access, 2022

A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy.

[BibT_eX]

[DOI]

IEEE Access, 2022

Gated Recurrent Unit Based Short-Term Network for Robot Swarm Motion Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2022

Predicting Energy Consumption in Wastewater Treatment Plants through Light Gradient Boosting Machine: A Comparative Study.

[BibT_eX]

[DOI]

Yasminah Alali

Proceedings of the 10th International Conference on Systems and Control, 2022

A Survey on Recent Advances in Fall Detection Systems Using Machine Learning Formalisms.

[BibT_eX]

[DOI]

Nabil Zerrouki

Amina Zouina Ait Djafer

Amrane Houacine

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

A Tree-Driven Ensemble Learning Approach to Predict FS Welded Al-6061-T6 Material Behavior.

[BibT_eX]

[DOI]

Abdelhakim Dorbane

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

Monitoring Ground-Level Ozone Pollution Based on a Semi-supervised Approach.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Frontiers of Signal Processing, 2022

DDOS attacks detection based on attention-deep learning and local outlier factor.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Fog and Mobile Edge Computing, 2022

2021

Integrated Multiple Directed Attention-Based Deep Learning for Improved Air Pollution Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2021

Desertification Detection Using an Improved Variational Autoencoder-Based Approach Through ETM-Landsat Satellite Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Comparative study of machine learning methods for COVID-19 transmission forecasting.

[BibT_eX]

[DOI]

Abdelhafid Zeroual

Mohamad Mazen Hittawe

J. Biomed. Informatics, 2021

Detecting network cyber-attacks using an integrated statistical approach.

[BibT_eX]

[DOI]

Clust. Comput., 2021

Fault Detection in Solar PV Systems Using Hypothesis Testing.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

A deep attention-driven model to forecast solar irradiance.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020

Malicious attacks detection in crowded areas using deep learning-based approach.

[BibT_eX]

[DOI]

Mohamad Mazen Hittawe

Ouadi Beya

IEEE Instrum. Meas. Mag., 2020

Early Detection of Parkinson's Disease Using Deep Learning and Machine Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Wind Power Prediction Using Ensemble Learning-Based Models.

[BibT_eX]

[DOI]

IEEE Access, 2020

Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study.

[BibT_eX]

[DOI]

IEEE Access, 2020

Improving robots swarm aggregation performance through the Minkowski distance function.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020

2019

Flexible and Efficient Topological Approaches for a Reliable Robots Swarm Aggregation.

[BibT_eX]

[DOI]

IEEE Access, 2019

An Integrated Vision-Based Approach for Efficient Human Fall Detection in a Home Environment.

[BibT_eX]

[DOI]

IEEE Access, 2019

Monitoring Influent Conditions of Wastewater Treatment Plants by Nonlinear Data-Based Techniques.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Unsupervised obstacle detection in driving environments using deep-learning-based stereovision.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2018

Statistical Monitoring of Changes to Land Cover.

[BibT_eX]

[DOI]

Nabil Zerrouki

IEEE Geosci. Remote. Sens. Lett., 2018

Self-organization in aggregating robot swarms: A DW-KNN topological approach.

[BibT_eX]

[DOI]

Biosyst., 2018

Monitoring land-cover changes by combining a detection step with a classification step.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Detecting cyber-attacks using a CRPS-based monitoring approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Wastewater treatment plant monitoring via a deep learning approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Industrial Technology, 2018

An Improved Macroscopic Modeling for Highway Traffic Density Estimation.

[BibT_eX]

[DOI]

Abdelhafid Zeroual

Proceedings of the 4th International Conference on Frontiers of Signal Processing, 2018

Traffic congestion detection based on hybrid observer and GLR test.

[BibT_eX]

[DOI]

Abdelhafid Zeroual

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Monitoring a robot swarm using a data-driven fault detection approach.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2017

Vision-based fall detection system for improving safety of elderly people.

[BibT_eX]

[DOI]

IEEE Instrum. Meas. Mag., 2017

A multivariate time series approach to forecasting daily attendances at hospital emergency department.

[BibT_eX]

[DOI]

Farid Kadri

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Enhanced dynamic data-driven fault detection approach: Application to a two-tank heater system.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Model-based fault detection algorithm for photovoltaic system monitoring.

[BibT_eX]

[DOI]

Ahmed Saidi

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Adaboost-based algorithm for human action recognition.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

A measurement-based fault detection approach applied to monitor robots swarm.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Systems and Control, 2017

A statistical-based approach for fault detection and diagnosis in a photovoltaic system.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Systems and Control, 2017

2016

Accelerometer and Camera-Based Strategy for Improved Human Fall Detection.

[BibT_eX]

[DOI]

J. Medical Syst., 2016

A measurement-based control design approach for efficient cancer chemotherapy.

[BibT_eX]

[DOI]

Shankar P. Bhattacharyya

Inf. Sci., 2016

Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Improved anomaly detection using multi-scale PLS and generalized likelihood ratio test.

[BibT_eX]

[DOI]

Muddu Madakyaru

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Nonlinear partial least squares with Hellinger distance for nonlinear process monitoring.

[BibT_eX]

[DOI]

Muddu Madakyaru

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A simple strategy for fall events detection.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

PLS-based memory control scheme for enhanced process monitoring.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Fault detection in processes represented by PLS models using an EWMA control scheme.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Control, 2016

2015

Improved principal component analysis for anomaly detection: Application to an emergency department.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2015

GLRT Based Anomaly Detection for Sensor Network Monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Enhanced Anomaly Detection Via PLS Regression Models and Information Entropy Theory.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Enhanced monitoring of abnormal emergency department demands.

[BibT_eX]

[DOI]

Farid Kadri

Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

A measurement-based technique for incipient anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

2014

Time Series Modelling and Forecasting of Emergency Department Overcrowding.

[BibT_eX]

[DOI]

J. Medical Syst., 2014

Anomaly detection/detectability for a linear model with a bounded nuisance parameter.

[BibT_eX]

[DOI]

Lionel Fillatre

Igor V. Nikiforov

Annu. Rev. Control., 2014

Univariate process monitoring using multiscale Shewhart charts.

[BibT_eX]

[DOI]

M. Ziyan Sheriff

Proceedings of the International Conference on Control, 2014

2013

Detecting abnormal ozone levels using PCA-based GLR hypothesis testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Enhanced monitoring using PCA-based GLR fault detection and multiscale filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2013

Statistical detection of abnormal ozone measurements based on Constrained Generalized Likelihood Ratio test.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A statistical fault detection strategy using PCA based EWMA control schemes.

[BibT_eX]

[DOI]

Proceedings of the 9th Asian Control Conference, 2013

2008

Anomaly detection with bounded nuisance parameters and safe train navigation.

[BibT_eX]

[DOI]