F. Kadri

发表

Neural classification method in fault detection and diagnosis for voltage source inverter in variable speed drive with induction motor

S. Drid, L. Chrifi-Alaoui, F. Djeffal, 2013, 2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER).

Early detection of abnormal patient arrivals at hospital emergency department

Farid Kadri, Fouzi Harrou, Christian Tahon, 2015, 2015 International Conference on Industrial Engineering and Systems Management (IESM).

An LSTM-based Deep Learning Approach with Application to Predicting Hospital Emergency Department Admissions

I. Nouaouri, F. Kadri, Merouane Baraoui, 2019, 2019 International Conference on Industrial Engineering and Systems Management (IESM).

The Impact of Natural Disasters on Critical Infrastructures: A Domino Effect-based Study

E. Châtelet, F. Kadri, B. Birregah, 2014 .

Ozone measurements monitoring using data-based approach

F. Kadri, F. Harrou, Ying Sun, 2016 .

Ozone measurements monitoring using data-based approach

F. Kadri, F. Harrou, Ying Sun, 2016 .

Detecting Abnormal Ozone Measurements With a Deep Learning-Based Strategy

Farid Kadri, Fouzi Harrou, Abdelkader Dairi, 2018, IEEE Sensors Journal.

A DATA MINING-BASED APPROACH TO PREDICT STRAIN SITUATIONS IN HOSPITAL EMERGENCY DEPARTMENT SYSTEMS

F. Kadri, S. Chaabane, B. Atmani, 2014 .

TOWARD A DECISION SUPPORT SYSTEM FOR THE MANAGEMENT OF STRAIN SITUATIONS IN HOSPITAL EMERGENCY DEPARTMENTS

C. Tahon, F. Kadri, S. Chaabane, 2016 .

Automatic Detection of Unbalanced Sitting Postures in Wheelchairs Using Unlabeled Sensor Data

Ying Sun, F. Kadri, F. Harrou, 2022, IEEE Sensors Letters.

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

Farid Kadri, Fouzi Harrou, Tuoyuan Cheng, 2020, IEEE Access.

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

Ying Sun, F. Kadri, F. Harrou, 2022, Journal of Ambient Intelligence and Humanized Computing.

Peaks Over Threshold–based detector design for structural health monitoring: Application to aerospace structures

Nazih Mechbal, Ouadie Hmad, Marc Rébillat, 2018 .

Method for quantitative assessment of the domino effect in industrial sites

Farid Kadri, Eric Châtelet, Guangpu Chen, 2013 .

The Assessment of Risk Caused by Fire and Explosion in Chemical Process Industry: A Domino Effect-Based Study

Eric Chatelet, Farid Kadri, Patrick Lallement, 2013 .

Improving Biometric Identification Performance Using PCANet Deep Learning and Multispectral Palmprint

Ahmed Bouridane, Abdallah Meraoumia, Salim Chitroub, 2017 .

PREDICTING HOSPITAL LENGTH OF STAY USING REGRESSION MODELS: APPLICATION TO EMERGENCY DEPARTMENT

Farid Kadri, Catherine Combes, Sondes Chaabane, 2014 .

A simulation-based decision support system to prevent and predict strain situations in emergency department systems

Farid Kadri, Sondès Chaabane, Christian Tahon, 2014, Simul. Model. Pract. Theory.

Time Series Modelling and Forecasting of Emergency Department Overcrowding

Farid Kadri, Sondès Chaabane, Christian Tahon, 2014, Journal of Medical Systems.

Semi-Supervised KPCA-Based Monitoring Techniques for Detecting COVID-19 Infection through Blood Tests

Ying Sun, F. Kadri, F. Harrou, 2023, Diagnostics.

Monitoring patient flow in a hospital emergency department: ARMA-based nonparametric GLRT scheme

F. Kadri, F. Harrou, Ying Sun, 2021, Health informatics journal.

Forecasting emergency department overcrowding: A deep learning framework

Farid Kadri, Fouzi Harrou, Ying Sun, 2020, Chaos, Solitons & Fractals.

RNN-based deep-learning approach to forecasting hospital system demands: application to an emergency department

Farid Kadri, Kahina Abdennbi, F. Kadri, 2020, International Journal of Data Science.

Machine Learning for Emergency Department Management

Farid Kadri, Baghdad Atmani, Sondes Chaabane, 2019, Int. J. Inf. Syst. Serv. Sect..

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

Farid Kadri, Fouzi Harrou, Ying Sun, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Farid Kadri, Sondès Chaabane, Christian Tahon, 2016, Neurocomputing.

Palmprint & iris for a multibiometric authentication scheme using Log-Gabor filter response

Abdallah Meraoumia, Salim Chitroub, Hakim Bendjenna, 2016, 2016 International Conference on Information Technology for Organizations Development (IT4OD).

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

Farid Kadri, Sondès Chaabane, Christian Tahon, 2015, Comput. Ind. Eng..

Forecasting of Photovoltaic Solar Power Production Using LSTM Approach

Fouzi Harrou, Ying Sun, Farid Kadri, 2020, Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems.

Effective forecasting of key features in hospital emergency department: Hybrid deep learning-driven methods

F. Kadri, F. Harrou, Ying Sun, 2021, Machine Learning with Applications.

Toward a Proactive and Reactive Simulation-Based Emergency Department Control System to Cope with Strain Situations

F. Kadri, S. Chaabane, 2020 .

Resilience-based performance assessment of strain situations in emergency departments

Abdelghani Bekrar, Farid Kadri, Christian Tahon, 2015, 2015 International Conference on Industrial Engineering and Systems Management (IESM).

Modelling and management of strain situations in hospital systems using an ORCA approach

Damien Trentesaux, Christian Tahon, Farid Kadri, 2013, Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM).