Work

Domain Adversarial Neural Networks for Remaining Useful Life Estimation of Lithium-Ion Batteries

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10795952

Authors: Luca Martiri, Giuseppe Meli, Luca Pasquarelli, Davide Azzalini, Loredana Cristaldi, Francesco Amigoni

Institution: Politecnico di Milano

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4405755212

FWCI: 2.237

Cites: 15

Cited by: 4

Related to: 10