Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: The Internet of Things (IoT) is a vast system of interconnected systems that is rapidly growing, but it is also increasingly vulnerable to cyberattacks. Detecting and mitigating IoT threats ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

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Abstract: Amyotrophic Lateral Sclerosis (ALS) is a critical disease, and many people suffer from it. Different diagnostic models have been proposed for ALS detection. However, these models still have ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...