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Riadh Ayachi
Riadh Ayachi
Faculty of sciences Monastir, University of monastir
Adresă de e-mail confirmată pe fsm.rnu.tn
Titlu
Citat de
Citat de
Anul
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
1102020
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
862020
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
652020
Deep learning based application for indoor scene recognition
M Afif, R Ayachi, Y Said, M Atri
Neural Processing Letters 51, 2827-2837, 2020
642020
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
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
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
362021
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
182021
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
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
112020
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
102023
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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