Abaker, M.; Dafaalla, H.; Eisa, T.A.E.; Abdelgader, H.; Mohammed, A.; Burhanur, M.; Hasabelrsoul, A.; Alfakey, M.I.; Morsi, M.A.
Deep Learning- and IoT-Based Framework for Rock-Fall Early Warning. Appl. Sci. 2023, 13, 9978.
https://doi.org/10.3390/app13179978
AMA Style
Abaker M, Dafaalla H, Eisa TAE, Abdelgader H, Mohammed A, Burhanur M, Hasabelrsoul A, Alfakey MI, Morsi MA.
Deep Learning- and IoT-Based Framework for Rock-Fall Early Warning. Applied Sciences. 2023; 13(17):9978.
https://doi.org/10.3390/app13179978
Chicago/Turabian Style
Abaker, Mohammed, Hatim Dafaalla, Taiseer Abdalla Elfadil Eisa, Heba Abdelgader, Ahmed Mohammed, Mohammed Burhanur, Aiman Hasabelrsoul, Mohammed Ibrahim Alfakey, and Mohammed Abdelghader Morsi.
2023. "Deep Learning- and IoT-Based Framework for Rock-Fall Early Warning" Applied Sciences 13, no. 17: 9978.
https://doi.org/10.3390/app13179978
APA Style
Abaker, M., Dafaalla, H., Eisa, T. A. E., Abdelgader, H., Mohammed, A., Burhanur, M., Hasabelrsoul, A., Alfakey, M. I., & Morsi, M. A.
(2023). Deep Learning- and IoT-Based Framework for Rock-Fall Early Warning. Applied Sciences, 13(17), 9978.
https://doi.org/10.3390/app13179978