Soulef Bouaafia

Orcid: 0000-0003-0657-6900

According to our database1, Soulef Bouaafia authored at least 23 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Implementation of an improved multi-object detection, tracking, and counting for autonomous driving.
Multim. Tools Appl., May, 2024

AI-based smart agriculture 4.0 system for plant diseases detection in Tunisia.
Signal Image Video Process., 2024

Affordable Deep learning-based Leaf Disease Detection and Localization for Precision Agriculture.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
DTL-I-ResNet18: facial emotion recognition based on deep transfer learning and improved ResNet18.
Signal Image Video Process., 2023

Secure Convolutional Neural Network-Based Internet-of-Healthcare Applications.
IEEE Access, 2023

Automatic diagnosis of Plant Leaf Diseases based on Deep Learning Approach.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

Enhanced CNN Security based on Adversarial FGSM Attack Learning: Medical Image Classification.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

Enhanced U-Net Approach: Semantic Segmentation for Self-Driving Cars Applications.
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023

2022
Deep CNN Co-design for HEVC CU Partition Prediction on FPGA-SoC.
Neural Process. Lett., 2022

Deep learning-based video quality enhancement for the new versatile video coding.
Neural Comput. Appl., 2022

Machine Learning-Based approaches to reduce HEVC intra coding unit partition decision complexity.
Multim. Tools Appl., 2022

Deep convolutional neural networks-based Hardware-Software on-chip system for computer vision application.
Comput. Electr. Eng., 2022

2021
Optimization and Acceleration of HEVC and VVC Video CompressionStandards Using Artificial Intelligence on Parallel Processing Platforms. (Optimisation et Accélération des Normes de Compression VidéoHEVC et VVC utilisant l'Intelligence Artificielle sur des Plateformesde Traitement Parallèle).
PhD thesis, 2021

CNN-LSTM Learning Approach-Based Complexity Reduction for High-Efficiency Video Coding Standard.
Sci. Program., 2021

Complexity Analysis of New Future Video Coding (FVC) Standard Technology.
Int. J. Digit. Multim. Broadcast., 2021

VVC In-Loop Filtering Based on Deep Convolutional Neural Network.
Comput. Intell. Neurosci., 2021

COVID-19 Recognition Based on Patient's Coughing and Breathing Patterns Analysis: Deep Learning Approach.
Proceedings of the 29th Conference of Open Innovations Association, 2021

PYNQ FPGA Hardware implementation of LeNet-5-Based Traffic Sign Recognition Application.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Deep Pre-trained Models for Computer Vision Applications: Traffic sign recognition.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

Rate-Distortion Performance Comparison: VVC vs. HEVC.
Proceedings of the 18th International Multi-Conference on Systems, Signals & Devices, 2021

2020
Fast CU partition-based machine learning approach for reducing HEVC complexity.
J. Real Time Image Process., 2020

A Deep CNN-LSTM Framework for Fast Video Coding.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

SVM-based Inter Prediction Mode Decision for HEVC.
Proceedings of the 17th International Multi-Conference on Systems, Signals & Devices, 2020


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