We introduce a maximum Lq-likelihood estimation (MLqE) of mixture models using our proposed expectation-maximization (EM) algorithm, namely the EM algorithm with Lq-likelihood (EM-Lq). Properties of ...

This paper shows that the Expectation-Maximization (EM) algorithm for regime-switching dynamic factor models provides satisfactory performance relative to other estimation methods and delivers a good ...

The Intelligent Battery Cycle Life Maximization Algorithm leverages machine learning to monitor and adjust battery behavior in real time.

Our results suggest that, for the analysis of red blood cell volumes, (i) parameter estimation should be made with the expectation-maximization method, and (ii) the truncated lognormal distribution ...

So that their discovery can be used on a large scale, the algorithm has been made available as an open source Image plugin. Researchers can download the tool and directly obtain the algorithm estimate ...

Flux Power Awarded Patent for an Intelligent Battery Cycle Life Maximization Algorithm, Pioneering the Future of AI-Driven Energy Optimization ...