Riadh Ayachi

Orcid: 0000-0003-4683-9592

According to our database1, Riadh Ayachi authored at least 23 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
An indoor scene recognition system based on deep learning evolutionary algorithms.
Soft Comput., November, 2023

Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction.
Multim. Tools Appl., July, 2023

2022
Correction to: An efficient object detection system for indoor assistance navigation using deep learning techniques.
Multim. Tools Appl., 2022

An efficient object detection system for indoor assistance navigation using deep learning techniques.
Multim. Tools Appl., 2022

An evaluation of EfficientDet for object detection used for indoor robots assistance navigation.
J. Real Time Image Process., 2022

An edge implementation of a traffic sign detection system for Advanced driver Assistance Systems.
Int. J. Intell. Robotics Appl., 2022

Indoor objects detection system implementation using multi-graphic processing units.
Clust. Comput., 2022

2021
A Transfer Learning Approach for Indoor Object Identification.
SN Comput. Sci., 2021

Lightweight Cryptography for Network-on-Chip Data Encryption.
Secur. Commun. Networks, 2021

Deep learning-based application for indoor wayfinding assistance navigation.
Multim. Tools Appl., 2021

Real-Time Implementation of Traffic Signs Detection and Identification Application on Graphics Processing Units.
Int. J. Pattern Recognit. Artif. Intell., 2021

A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data.
Big Data, 2021

Drivers Fatigue Detection Using EfficientDet In Advanced Driver Assistance Systems.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Indoor sign Detection System for Indoor Assistance Navigation.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Pedestrian Detection Based on Light-Weighted Separable Convolution for Advanced Driver Assistance Systems.
Neural Process. Lett., 2020

Traffic Signs Detection for Real-World Application of an Advanced Driving Assisting System Using Deep Learning.
Neural Process. Lett., 2020

An Evaluation of RetinaNet on Indoor Object Detection for Blind and Visually Impaired Persons Assistance Navigation.
Neural Process. Lett., 2020

Deep Learning Based Application for Indoor Scene Recognition.
Neural Process. Lett., 2020

Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people.
Multim. Tools Appl., 2020

Traffic Sign Recognition Based On Scaled Convolutional Neural Network For Advanced Driver Assistance System.
Proceedings of the 4th IEEE International Conference on Image Processing, 2020

pedestrian detection for advanced driving assisting system: a transfer learning approach.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Recognizing signs and doors for Indoor Wayfinding for Blind and Visually Impaired Persons.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2019
Indoor Object C1assification for Autonomous Navigation Assistance Based on Deep CNN Model.
Proceedings of the 5th IEEE International Symposium on Measurements & Networking, 2019


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