Yahia F. Said
Orcid: 0000-0003-0613-4037
According to our database1,
Yahia F. Said
authored at least 40 papers
between 2012 and 2024.
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Bibliography
2024
Traffic flow management by detecting and estimating vehicles density based on object detection model.
Neural Comput. Appl., July, 2024
Multim. Tools Appl., April, 2024
Securing Consumer Electronics Devices: A Blockchain-Based Access Management Approach Enhanced by Deep Learning Threat Modeling for IoT Ecosystems.
IEEE Access, 2024
2023
Soft Comput., November, 2023
Deep learning-based technique for lesions segmentation in CT scan images for COVID-19 prediction.
Multim. Tools Appl., July, 2023
Embedded implementation of an obstacle detection system for blind and visually impaired persons' assistance navigation.
Comput. Electr. Eng., May, 2023
Neural Comput. Appl., April, 2023
Obstacle Detection System for Navigation Assistance of Visually Impaired People Based on Deep Learning Techniques.
Sensors, 2023
An Efficient Text Recognition System from Complex Color Image for Helping the Visually Impaired Persons.
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
A Novel Deep Learning Segmentation and Classification Framework for Leukemia Diagnosis.
Algorithms, 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
Comput. Syst. Sci. Eng., 2022
2021
Human emotion recognition based on facial expressions via deep learning on high-resolution images.
Multim. Tools Appl., 2021
Multim. Tools Appl., 2021
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
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021
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
Neural Process. Lett., 2020
Indoor objects detection and recognition for an ICT mobility assistance of visually impaired people.
Multim. Tools Appl., 2020
Clust. Comput., 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
2016
Proceedings of the International Image Processing, Applications and Systems, 2016
2014
Int. J. Adv. Media Commun., 2014
Proceedings of the International Image Processing, 2014
Proceedings of the International Image Processing, 2014
2012
Proceedings of the Image and Signal Processing - 5th International Conference, 2012