Skip to content

Opening book details…

About this Engineering article

Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned aerial vehicles with uncertainty quantification by Eleftheroglou, Nick; Mansouri, Sina Sharif; Loutas, Theodoros; Karvelis, Petros; Georgoulas, George; Nikolakopoulos, George; Zarouchas, Dimitrios is a Engineering article available to read on EtoBox.

It is typically read by researchers, students, and practitioners in Engineering.

Author
Eleftheroglou, Nick; Mansouri, Sina Sharif; Loutas, Theodoros; Karvelis, Petros; Georgoulas, George; Nikolakopoulos, George; Zarouchas, Dimitrios
Publisher
Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0306-2619)
Published
2019
Field
Engineering (Physical Sciences)

More by Eleftheroglou, Nick; Mansouri, Sina Sharif; Loutas, Theodoros; Karvelis, Petros; Georgoulas, George; Nikolakopoulos, George; Zarouchas, Dimitrios

Browse all works by Eleftheroglou, Nick; Mansouri, Sina Sharif; Loutas, Theodoros; Karvelis, Petros; Georgoulas, George; Nikolakopoulos, George; Zarouchas, Dimitrios