COVID-19 started in China, the early cases were stated in the city in December 2019 and has become a heavy public unhealthiness worldwide [29]. The virus recognized as severe acute metabolic process ...

Objective: This study aims to present a comprehensive and automated approach that leverages Large Language Models (LLMs) and Machine Learning (ML) techniques to detect misinformation on social media, ...

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 ...

Learn how to effectively read and understand deep learning code with this beginner-friendly guide. Break down complex scripts and get comfortable navigating AI projects step by step. #DeepLearning ...

A newly-developed model for identifying severe COVID-19, based on common clinical lab test indicators and 2 vital signs, was accurate 86% of the time. COVID-19 severity can be predicted by a model ...

The journal retracts the 07 March 2022 article cited above. Following publication, the publisher has found evidence of peer review manipulation. As the scientific integrity of the article cannot be ...

As temperatures have risen across San Luis Obispo County, new cases of COVID-19 are on the rise, too. Though the 2020 outbreak of the COVID-19 pandemic is now five years in the rearview mirror, ...