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 ...

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 ...

Vice President JD Vance shot back at senators who clashed with Health and Human Services Secretary Robert F. Kennedy Jr. at a hearing before the Senate Finance Committee Thursday, saying they are ...

Abstract: The increasing use of social media such as Instagram, YouTube and Reddit is created an urgency of real time profanity detection system. In presented work, deep leaning was used for real time ...

All WSIs were available at level 0 resolution (×40 magnification, approximately 0.25 μm/pixel), which was used for tile extraction to ensure consistent high-resolution analysis across all samples. We ...

Abstract: The electrocardiogram (ECG) is an important tool in diagnosing heart diseases. In this study, we introduce ECGNet a customized deep learning model that utilizes advanced activation functions ...

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...