The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

We don’t need smarter machines that can beat humans at pattern recognition. We need wiser systems that remember why the ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Since flooding incidences are becoming more frequent and serious globally due to climate change, flood prediction has become more crucial than ever. Recently, in forecasting systems, Machine Learning ...

We present a comparative analysis of different machine learning algorithms for classifying electromyography (EMG) signals for the application of prosthetic arm development. We applied four machine ...

Unlike traditional statistical methods, such as logistic regression, machine learning does not rely on predefined models. By iteratively refining algorithms, it can more effectively identify complex ...