Transfer learning driven fake news detection and classification using large language models
We provide a comprehensive explanation of our primary framework and its supporting components in this section. The architecture of the...
We provide a comprehensive explanation of our primary framework and its supporting components in this section. The architecture of the...
The dataset considered for the current research is UNSW-NB155, which has 175,341 records and is also imbalanced with a higher...
In the present part, the approaches utilized in the suggested intrusion recognition and Controller Area Network are presented. Initially, the...
DatasetsThis work employed three open-source datasets of retinal disease images: the Multi-Label Retinal Diseases (MuReD) dataset29 from the Mendeley platform,...
The global human population is undergoing rapid growth, leading to substantial impacts and posing significant challenges to humanity. Among these...
Time–frequency image representations are then classified using features acquired from seven different famous convolutional neural network models. Initial attempts to...