Oussama Djedidi

发表

A Novel Easy-to-construct Power Model for Embedded and Mobile Systems - Using Recursive Neural Nets to Estimate Power Consumption of ARM-based Embedded Systems and Mobile Devices

Aziz Naamane, Nacer K. M'Sirdi, Oussama Djedidi, 2018, ICINCO.

Modular Modelling of an Embedded Mobile CPU-GPU Chip for Feature Estimation

Aziz Naamane, Nacer K. M'Sirdi, Oussama Djedidi, 2017, ICINCO.

Incremental Modeling and Monitoring of Embedded CPU-GPU Chips

Oussama Djedidi, Mohand Djeziri, Oussama Djedidi, 2020, Processes.

A Novel Easy-to-construct Power Model for Embedded and Mobile Systems - Using Recursive Neural Nets to Estimate Power Consumption of ARM-based Embedded Systems and Mobile Devices.

Aziz Naamane, Mohand Djeziri, N. K. M'Sirdi, 2018 .

Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and Smartphones

Aziz Naamane, Nacer K. M'Sirdi, Oussama Djedidi, 2018, MSWiM.

Failure Prognosis of Embedded Systems Based on Temperature Drift Assessment

Oussama Djedidi, Samir Benmoussa, Mohand Djeziri, 2019 .

Power profiling and monitoring in embedded systems: A comparative study and a novel methodology based on NARX neural networks

Oussama Djedidi, Mohand Djeziri, Oussama Djedidi, 2020, J. Syst. Archit..

Data-driven monitoring of Systems On Chip for Multifunction Modular Cockpit Display

Kouider M'Sirdi, Oussama Djedidi, Mohand Djeziri, 2019 .

Modélisation Incrémentale des Processeurs Embarqués pour l'Estimation des Caractéristiques et le Diagnostic. (Incremental modeling of an embedded CPU-GPU systems for feature estimation and monitoring)

Oussama Djedidi, Oussama Djedidi, 2019 .

Data-Driven Approach for Feature Drift Detection in Embedded Electronic Devices

Nacer K. M'Sirdi, Oussama Djedidi, Mohand Djeziri, 2018 .

Remaining useful life prediction in embedded systems using an online auto-updated machine learning based modeling

Oussama Djedidi, Samir Benmoussa, Mohand A. Djeziri, 2021 .

Failure Prognosis Based on Relevant Measurements Identification and Data-Driven Trend-Modeling: Application to a Fuel Cell System

Mohand Djeziri, Marc Bendahan, Jean-Luc Seguin, 2021, Processes.

Accurate detection and discrimination of pollutant gases using a temperature modulated MOX sensor combined with feature extraction and support vector classification

Marc Bendahan, Jean-Luc Seguin, Oussama Djedidi, 2021, Sensors and Actuators B: Chemical.

A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture

Marc Bendahan, Jean-Luc Seguin, Oussama Djedidi, 2021, Applied Intelligence.