Publications by authors named "Sahraoui Dhelim"
Article Synopsis
- * This study introduces a new method for detecting DR, leveraging advanced techniques like synthetic data generation with GANs, K-Means Clustering-Based Binary Grey Wolf Optimizer (KCBGWO), and Fully Convolutional Encoder-Decoder Networks (FCEDN) combined with Extreme Learning Machines (ELM).
- * The model achieved impressive results on the IDRiD dataset, with an accuracy of 99.87%, sensitivity of 99.33%, and specificity of 99.78%, indicating a significant advancement in DR diagnosis and offering a new
Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has to perform intensive communication and computational tasks.
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