Abstract: Heart attack is one of the primary reasons of death worldwide, demanding developments in prognostic healthcare. The research work recognizes the use of 5 Machine Learning (ML) techniques to ...

Abstract: Distributed Denial of services is one of the most dangerously planned attacks in cloud computing, resulting in huge losses of data and money for both the cloud services providers and the ...

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

Breast cancer diagnosis relies on imaging, yet conventional Doppler ultrasound possesses limitations in visualizing tumor microvasculature. This study aimed to compare Microvascular Flow imaging ...

Mathematics In AI: Mathematical concepts such as statistics and probability form the foundation of Artificial Intelligence (AI) and its branches like Machine Learning and Deep Learning. Machine ...

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Six machine learning algorithms—k-nearest neighbors, naive Bayes, multilayer perceptron, random forest, support vector machine, and Extreme Gradient Boosting (XGBoost)—were developed using 10-fold ...

This is a tentative schedule and is subject to change. Please note that Youtube takes some time to process videos before they become available.

Deng X, Xia J, Liang Z and Luo C (2026) Research on predicting risk factors for re-bleeding in the acute phase of intracerebral hemorrhage using machine learning algorithms.

Founders University Professor Machine Learning Department Carnegie Mellon University Visiting Scholar Digital Economy Lab Stanford University Resume / Curriculum Vitae Tom.Mitchell@cmu.edu, 412 268 ...