Battery fast charging is one of the most significant and difficult techniques affecting the commercialization of electric vehicles (EVs). In this paper, we propose a fast charge framework based on model predictive control, with the aim of simultaneously reducing the charge duration, which...

State of Charge (SoC) estimation is one of the most significant and difficult techniques to promote the commercialization of electric vehicles (EVs). Suffering from various interference in vehicle driving environment and model uncertainties due to the strong time-variant property and...

Low abundance cell sorting has fundamental applications in cell research and therapy, such as cancer diagnosis, cell transplantation, and immunology. However, various methods for isolating low abundance cells are challenging due to the low cell recovery rate and throughput. In this paper, we...

In this paper, we propose a new Volatility-Spillover-Asymmetric Conditional-Auto-Regressive-Range (VS-ACARR) approach to model/forecast Bitcoin’s volatility (Price-range). Traditionally, CARR models are uni-variate but we introduce volatility spillover from another series (Crude oil) in the...

Directors and officers liability insurance (D&O insurance) has gradually emerged as a vital component of external governance mechanism, allowing the appropriate transfer of decision-making risks to insurance companies. While D&O insurance can serve as an incentive for directors to actively...

The Steiner tree problem aims to determine a minimum edge-weighted tree spanning a given set of terminal vertices from a given graph. As a popular model for numerous practical applications, the problem has been the object of two important competitions (the 11th DIMACS Challenge in 2014 and the...