Hafeez, F.; Arfeen, Z.A.; Ali, G.; Masud, M.I.; Hamid, M.; Aman, M.; Saeed, M.S.; Ahmed, T.
A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering. World Electr. Veh. J. 2025, 16, 639.
https://doi.org/10.3390/wevj16110639
AMA Style
Hafeez F, Arfeen ZA, Ali G, Masud MI, Hamid M, Aman M, Saeed MS, Ahmed T.
A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering. World Electric Vehicle Journal. 2025; 16(11):639.
https://doi.org/10.3390/wevj16110639
Chicago/Turabian Style
Hafeez, Farrukh, Zeeshan Ahmad Arfeen, Gohar Ali, Muhammad I. Masud, Muhammad Hamid, Mohammed Aman, Muhammad Salman Saeed, and Touqeer Ahmed.
2025. "A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering" World Electric Vehicle Journal 16, no. 11: 639.
https://doi.org/10.3390/wevj16110639
APA Style
Hafeez, F., Arfeen, Z. A., Ali, G., Masud, M. I., Hamid, M., Aman, M., Saeed, M. S., & Ahmed, T.
(2025). A Particle Swarm Optimized Multi-Model Framework for Remaining Useful Life Prediction of Lithium-Ion Batteries Using Domain-Driven Feature Engineering. World Electric Vehicle Journal, 16(11), 639.
https://doi.org/10.3390/wevj16110639