Alrashidi, M.; Mnasri, S.; Alqabli, M.; Alghamdi, M.; Short, M.; Williams, S.; Dawood, N.; Alkhazi, I.S.; Alrowaily, M.A.
Energy and Water Management in Smart Buildings Using Spiking Neural Networks: A Low-Power, Event-Driven Approach for Adaptive Control and Anomaly Detection. Energies 2025, 18, 5089.
https://doi.org/10.3390/en18195089
AMA Style
Alrashidi M, Mnasri S, Alqabli M, Alghamdi M, Short M, Williams S, Dawood N, Alkhazi IS, Alrowaily MA.
Energy and Water Management in Smart Buildings Using Spiking Neural Networks: A Low-Power, Event-Driven Approach for Adaptive Control and Anomaly Detection. Energies. 2025; 18(19):5089.
https://doi.org/10.3390/en18195089
Chicago/Turabian Style
Alrashidi, Malek, Sami Mnasri, Maha Alqabli, Mansoor Alghamdi, Michael Short, Sean Williams, Nashwan Dawood, Ibrahim S. Alkhazi, and Majed Abdullah Alrowaily.
2025. "Energy and Water Management in Smart Buildings Using Spiking Neural Networks: A Low-Power, Event-Driven Approach for Adaptive Control and Anomaly Detection" Energies 18, no. 19: 5089.
https://doi.org/10.3390/en18195089
APA Style
Alrashidi, M., Mnasri, S., Alqabli, M., Alghamdi, M., Short, M., Williams, S., Dawood, N., Alkhazi, I. S., & Alrowaily, M. A.
(2025). Energy and Water Management in Smart Buildings Using Spiking Neural Networks: A Low-Power, Event-Driven Approach for Adaptive Control and Anomaly Detection. Energies, 18(19), 5089.
https://doi.org/10.3390/en18195089