Ines Chihi

Orcid: 0000-0002-6307-909X

According to our database1, Ines Chihi authored at least 26 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Fault diagnosis and self-healing for smart manufacturing: a review.
J. Intell. Manuf., August, 2024

Sustainability and predictive accuracy evaluation of gel and embroidered electrodes for ECG monitoring.
Biomed. Signal Process. Control., 2024

2023
Indoor Scene Recognition: An Attention-Based Approach Using Feature Selection-Based Transfer Learning and Deep Liquid State Machine.
Algorithms, 2023

Smart Fault Detection Approach Leveraging Soft Sensor and Model-Free Control: Application to Robot Manipulator.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

ECG Data Forecasting Based on Linear Models Approach: a Comparative Study.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

2022
Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks.
CoRR, 2022

2021
Software Sensor to Enhance Online Parametric Identification for Nonlinear Closed-Loop Systems for Robotic Applications.
Sensors, 2021

Affordable Embroidered EMG Electrodes for Myoelectric Control of Prostheses: A Pilot Study.
Sensors, 2021

An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting.
IEEE Access, 2021

Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review.
IEEE Access, 2021

Enhanced Deep Belief Network Based on Ensemble Learning and Tree-Structured of Parzen Estimators: An Optimal Photovoltaic Power Forecasting Method.
IEEE Access, 2021

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects.
IEEE Access, 2021

2020
Adaptive Control Design for Human Handwriting Process Based on Electromyography Signals.
Complex., 2020

Short-Term Electric Load Forecasting Based on Data-Driven Deep Learning Techniques.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019
Enhanced Evolutionary Symbolic Regression Via Genetic Programming for PV Power Forecasting.
CoRR, 2019

A Novel Approach Based Deep RNN Using Hybrid NARX-LSTM Model For Solar Power Forecasting.
CoRR, 2019

PV Power Forecasting Using Weighted Features for Enhanced Ensemble Method.
CoRR, 2019

Medium and Long-Term Parametric Temperature Forecasting using Real Meteorological Data.
Proceedings of the IECON 2019, 2019

2018
Online Fault Detection Approach of Unpredictable Inputs: Application to Handwriting System.
Complex., 2018

Dynamic Gains Robust Differentiator Based Fault Detection Approach for Cascaded H-Bridge Multilevel Inverters.
Proceedings of the IECON 2018, 2018

2017
Internal model control to characterize human handwriting motion.
Int. Arab J. Inf. Technol., 2017

Inputs estimator for actuator faults detection.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2017

2016
Multi-model approach to characterize human handwriting motion.
Biol. Cybern., 2016

On the controllers of human handwriting motion.
Proceedings of the International Conference on Control, 2016

2015
Bi-axis control algorithm to generate manuscript shapes from mathematical handwriting model.
Proceedings of the 12th IEEE International Multi-Conference on Systems, Signals & Devices, 2015

2012
Reconstitution of Electromyographic Signals from Pen-Tip Velocity.
Proceedings of the 7th International Conference on System of Systems Engineering, 2012


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