Explainable artificial intelligence to detect image spam using convolutional neural network
Image spam threat detection has continually been a popular area of research with the
internet's phenomenal expansion. This research presents an explainable framework for …
internet's phenomenal expansion. This research presents an explainable framework for …
Hybrid Convolutional Autoencoder-Hierarchical Clustering Algorithm To Reveal Image Spam Sources
We propose a novel hybrid algorithm framework to address the problem of clustering images
received in spam emails based on authorship. The multimodal nature of these images …
received in spam emails based on authorship. The multimodal nature of these images …
Embracing Deep Learning for Crack Segmentation in SEM Images of Metal Additive Manufacturing
Metal additive manufacturing is an important manufacturing technique due to its cost
effective and rapid prototyping capabilities. This technique has been widely used in various …
effective and rapid prototyping capabilities. This technique has been widely used in various …
A Deep Learning Based Method for Vitreous Hemorrhage Recognition in Fundoscopic Images
Diabetes Mellitus (DM) is a disease that affects millions of individuals globally. Diabetic
Retinopathy (DR) is one of the many symptoms associated with Diabetes Mellitus. Diabetic …
Retinopathy (DR) is one of the many symptoms associated with Diabetes Mellitus. Diabetic …