Machine learning approaches for assessing rechargeable battery state-of-charge in unmanned aircraft vehicle-eVTOL-Reference-Cited by-同舟云学术

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Machine learning approaches for assessing rechargeable battery state-of-charge in unmanned aircraft vehicle-eVTOL

Published:2024-09 Issue: Volume:81 Page:102380
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Phung M. Thien,Nguyen Tri-Chan-Hung,Akhtar M. Shaheer,Yang O-Bong

Funder

Korea Institute of Energy Technology Evaluation and Planning

Jeonbuk National University

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Reference74 articles.

1. Unmanned Aviation: A Brief History of Unmanned Aerial Vehicles

2. Introduction to unmanned aircraft systems;Barnhart,2021

3. Advancements made in the Evolution of present Autonomous Unmanned Aerial Vehicles;Sachdeva;Int. J. Eng. Tech. Res.,2014

4. Review of unmanned aircraft system (UAS);Gupta;Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) Vol.,2013

5. Estimating abundance of African wildlife: an aid to adaptive management;Jachmann,2001

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