Azimuthal solar synchronization and aerodynamic neuro-optimization: an empirical study on slime-mold-inspired neural networks for solar UAV range optimization

• Main Authors: Graheeth, Hazare, Mohamed Thariq, Hameed Sultan, Dariusz, Mika, Farah Syazwani, Shahar, Grzegorz, Skorulski, Marek, Nowakowski, Andriy, Holovatyy, Ile, Mircheski, Wojciech, Giernacki
• Format: Article
• Language: English
• Published: Multidisciplinary Digital Publishing Institute 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/114480/1/114480.pdf; http://psasir.upm.edu.my/id/eprint/114480/; https://www.mdpi.com/2076-3417/14/18/8265

This study introduces a novel methodology for enhancing the efficiency of solar-powered unmanned aerial vehicles (UAVs) through azimuthal solar synchronization and aerodynamic neurooptimization, leveraging the principles of slime mold neural networks. The objective is to broaden the operational capa...