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Riadh Ayachi
Riadh Ayachi
Faculty of sciences Monastir, University of monastir
Verified email at fsm.rnu.tn
Title
Cited by
Cited by
Year
An evaluation of retinanet on indoor object detection for blind and visually impaired persons assistance navigation
M Afif, R Ayachi, Y Said, E Pissaloux, M Atri
Neural Processing Letters 51, 2265-2279, 2020
1132020
Traffic signs detection for real-world application of an advanced driving assisting system using deep learning
R Ayachi, M Afif, Y Said, M Atri
Neural Processing Letters 51 (1), 837-851, 2020
872020
Strided convolution instead of max pooling for memory efficiency of convolutional neural networks
R Ayachi, M Afif, Y Said, M Atri
Proceedings of the 8th International Conference on Sciences of Electronics …, 2020
662020
Deep learning based application for indoor scene recognition
M Afif, R Ayachi, Y Said, M Atri
Neural Processing Letters 51, 2827-2837, 2020
652020
Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people
M Afif, R Ayachi, E Pissaloux, Y Said, M Atri
Multimedia Tools and Applications 79, 31645-31662, 2020
572020
A convolutional neural network to perform object detection and identification in visual large-scale data
R Ayachi, Y Said, M Atri
Big Data 9 (1), 41-52, 2021
372021
Indoor image recognition and classification via deep convolutional neural network
M Afif, R Ayachi, Y Said, E Pissaloux, M Atri
Proceedings of the 8th International Conference on Sciences of Electronics …, 2020
372020
Pedestrian Detection Based on Light-Weighted Separable Convolution for Advanced Driver Assistance Systems
R Ayachi, Y Said, A Ben Abdelali
Neural Processing Letters, 1-14, 2020
362020
Drivers fatigue detection using efficientdet in advanced driver assistance systems
R Ayachi, M Afif, Y Said, AB Abdelali
2021 18th International Multi-Conference on Systems, Signals & Devices (SSD …, 2021
262021
To perform road signs recognition for autonomous vehicles using cascaded deep learning pipeline
R Ayachi, S Yahia, M Atri
Artificial Intelligence Advances 1 (01), 2019
202019
Optimizing neural networks for efficient FPGA implementation: A survey
R Ayachi, Y Said, A Ben Abdelali
Archives of Computational Methods in Engineering 28 (7), 4537-4547, 2021
192021
Recognizing signs and doors for Indoor Wayfinding for Blind and Visually Impaired Persons
M Afif, R Ayachi, Y Said, E Pissaloux, M Atri
5th International Conference on Advanced Technologies for Signal and Image …, 2020
172020
Indoor object classification for autonomous navigation assistance based on deep CNN model
M Afif, R Ayachi, Y Said, E Pissaloux, M Atri
2019 IEEE International Symposium on Measurements & Networking (M&N), 1-4, 2019
172019
Real-time implementation of traffic signs detection and identification application on graphics processing units
R Ayachi, M Afif, Y Said, AB Abdelali
International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021
152021
Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction
M Afif, R Ayachi, Y Said, M Atri
Multimedia Tools and Applications 82 (17), 26885-26899, 2023
122023
pedestrian detection for advanced driving assisting system: a transfer learning approach
R Ayachi, M Afif, Y Said, A Ben Abdelali
2020 5th International Conference on Advanced Technologies for Signal and …, 2020
122020
An efficient object detection system for indoor assistance navigation using deep learning techniques
M Afif, R Ayachi, Y Said, E Pissaloux, M Atri
Multimedia Tools and Applications 81 (12), 16601-16618, 2022
102022
An edge implementation of a traffic sign detection system for Advanced driver Assistance Systems
R Ayachi, M Afif, Y Said, A Ben Abdelali
International Journal of Intelligent Robotics and Applications 6 (2), 207-215, 2022
92022
An evaluation of EfficientDet for object detection used for indoor robots assistance navigation
M Afif, R Ayachi, Y Said, M Atri
Journal of Real-Time Image Processing 19 (3), 651-661, 2022
92022
Deep learning-based application for indoor wayfinding assistance navigation
M Afif, R Ayachi, Y Said, M Atri
Multimedia Tools and Applications 80 (18), 27115-27130, 2021
92021
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