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 ...

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 ...

Forbes contributors publish independent expert analyses and insights. Robert Olsen is a journalist covering transatlantic business news. Pearson reported faster sales growth in the third quarter and ...

1 Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. 2 Department of Electrical and Electronics Engineering, American International ...

Abstract: Musical instrument recognition is the act of counting on machine learning or the application of signal processing to isolate and classify various musical instruments in an audio track. Such ...

This project focuses on land cover segmentation using deep learning models. It compares the performance of DeepLabv3+, UNet++, and SegFormer in classifying land cover types based on 10m satellite ...