Bilel Benjdira

Orcid: 0000-0002-3057-4924

According to our database1, Bilel Benjdira authored at least 24 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
A game theory approach for smart traffic management.
Comput. Electr. Eng., September, 2023

Early detection of red palm weevil infestations using deep learning classification of acoustic signals.
Comput. Electron. Agric., September, 2023

TESR: Two-Stage Approach for Enhancement and Super-Resolution of Remote Sensing Images.
Remote. Sens., May, 2023

Machine Learning Analytic-Based Two-Staged Data Management Framework for Internet of Things.
Sensors, March, 2023

Vision Transformers in Image Restoration: A Survey.
Sensors, March, 2023

A Multi-Stage Deep-Learning-Based Vehicle and License Plate Recognition System with Real-Time Edge Inference.
Sensors, February, 2023

Prediction of Arabic Legal Rulings using Large Language Models.
CoRR, 2023

Guided Frequency Loss for Image Restoration.
CoRR, 2023

License Plate Super-Resolution Using Diffusion Models.
CoRR, 2023

ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts.
CoRR, 2023

Streamlined Global and Local Features Combinator (SGLC) for High Resolution Image Dehazing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


2022
A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.
Sensors, 2022

A Hybrid Privacy-Preserving Deep Learning Approach for Object Classification in Very High-Resolution Satellite Images.
Remote. Sens., 2022

TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems.
Eng. Appl. Artif. Intell., 2022

Parking Analytics Framework using Deep Learning.
CoRR, 2022

Securing the Classification of COVID-19 in Chest X-ray Images: A Privacy-Preserving Deep Learning Approach.
CoRR, 2022

2021
A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

2020
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture.
CoRR, 2020

2019
Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images.
Remote. Sens., 2019

Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning.
CoRR, 2019

2018
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3.
CoRR, 2018

2017
Deep Learning Approach for Car Detection in UAV Imagery.
Remote. Sens., 2017

2016
Multiple Object Scene Description for the Visually Impaired Using Pre-trained Convolutional Neural Networks.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016


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