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 ...

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

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

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 ...

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 ...

Engineers at the University of California, San Diego, have developed new algorithms that improve the efficiency of existing lithium-ion batteries and could allow them to be charged twice as fast ...