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 ...
Abstract: Deep learning can be used for audio signal classification in a variety of ways. It can be used to detect and classify various types of audio signals such as speech, music, and environmental ...
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 ...
Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...
Using PowerToys, you can extract audio from a video file with just a shortcut, and if you are a content creator, it is a must-have tool. In case you don’t have PowerToys installed already, then open ...
Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary classification, ...
Abstract: Cardiovascular diseases have been a major cause of deaths amongst the world population. Approximately 17.1 million cases of deaths due to CVD were reported in 2004, this accounts for 29% of ...
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