Artificial neural network driven prognosis and estimation of Lithium-Ion battery states: Current insights and future perspectives-Reference-Cited by-同舟云学术

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Artificial neural network driven prognosis and estimation of Lithium-Ion battery states: Current insights and future perspectives

Published:2024-02 Issue:2 Volume:15 Page:102429
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Olabi A.G.,Abdelghafar Aasim Ahmed,Soudan Bassel^ORCID,Alami Abdul Hai,Semeraro Concetta,Al Radi Muaz,Al-Murisi Mohammed,Abdelkareem Mohammad Ali

Funder

University of Sharjah

Publisher

Elsevier BV

Subject

General Engineering

Reference109 articles.

1. Renewable hybridization of oil and gas supply chains;Rafiee,2019

2. Nuclear fuel cycle and decommissioning;Zohuri,2020

3. Lignocellulosic biorefineries: the path forward;Moodley;Sustainable Biofuels: Elsevier,2021

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5. Boosting carbon dioxide adsorption capacity applying Jellyfish optimization and ANFIS-based modelling;Olabi;Ain Shams Eng. J.,2023

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