Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...
Abstract: Heart diseases continue to affect people worldwide leading to illness and death. Accurate and dependable diagnostic tools are very essential for early detection. In this work, four ...
Cuomo slammed his former colleague's repeated use of the "inhumane" term in a scathing video shared to X and Instagram on Wednesday, January 21. In his video, which he captioned "Be better!!," the ...
How does a cow scratch an itch on its back? An Austrian cow named Veronika has a solution that could change how we view livestock. For the past decade, Veronika has been observed by her owner ...
Schools are facing a growing problem of students using artificial intelligence to transform innocent images of classmates into sexually explicit deepfakes. The fallout from the spread of the ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...
Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...
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