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Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...
Andrew Ng explores AI’s future at LangChain 2025, from autonomous agents to human-machine collaboration reshaping industries.
Reversible programs run backward as easily as they run forward, saving energy in theory. After decades of research, they may ...
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.
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 ...
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 ...
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 ...
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