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Frontiers1d
Synergizing Artificial Intelligence with Neuromodulation for Movement Disorder Management
Neuromodulation has revolutionized the treatment of movement disorders such as Parkinson’s disease, dystonia, and essential tremor. With advancements in ...
IEEE19d
Teaching Machine Learning in K–12 Classroom: Pedagogical and Technological Trajectories for Artificial Intelligence Education
Abstract: Over the past decades, numerous practical applications of machine learning techniques have shown the potential of AI-driven and data-driven approaches in a large number of computing fields.
IEEE21d
A Review on Machine Learning for EEG Signal Processing in Bioengineering
In this review, we will be examining specifically machine learning methods that have been developed for EEG analysis with bioengineering applications. We reviewed literature from 1988 to 2018 to ...
Frontiers29d
Machine learning algorithms to predict heart failure with preserved ejection fraction among patients with premature myocardial infarction
This study aims to develop a model based on a machine learning algorithm that can predict the risk of in-hospital HFpEF in patients with PMI early and quickly. Methods: This prospective study ...
C&EN1mon
Prediction of Foam Half-Life Time Using Machine Learning Algorithms for Enhanced Oil Recovery and CO
Department of Petroleum Engineering, King Fahd University of Petroleum & Minerals KFUPM, Dhahran 31261, Saudi Arabia Center for Integrative Petroleum Research (CIPR), College of Petroleum Engineering ...