FIRG015 - Interpretable machine learning for battery capacities prediction and coating parameters analysis (2022)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.conengprac.2022.105202
Publication URI: http://dx.doi.org/10.1016/j.conengprac.2022.105202
Type: Journal Article/Review
Parent Publication: Control Engineering Practice