Abstract: This paper presents a comprehensive performance analysis of various machine learning algorithms for the prediction of thyroid disease, considering both binary and multi-class classification ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Abstract: The integration of artificial intelligence (AI) with wireless sensor networks (WSNs) has substantially advanced the capabilities of these systems to collect, process, and respond to large ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to full-fledged deep-learning engines - maki ...