Robacky Mbongo, K.H.; Ahmed, K.; Mamyrbayev, O.; Wang, G.; Zuo, F.; Akhmediyarova, A.; Mukazhanov, N.; Ayapbergenova, A.
Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks. Future Internet 2025, 17, 301.
https://doi.org/10.3390/fi17070301
AMA Style
Robacky Mbongo KH, Ahmed K, Mamyrbayev O, Wang G, Zuo F, Akhmediyarova A, Mukazhanov N, Ayapbergenova A.
Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks. Future Internet. 2025; 17(7):301.
https://doi.org/10.3390/fi17070301
Chicago/Turabian Style
Robacky Mbongo, Kenan Honore, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, and Assem Ayapbergenova.
2025. "Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks" Future Internet 17, no. 7: 301.
https://doi.org/10.3390/fi17070301
APA Style
Robacky Mbongo, K. H., Ahmed, K., Mamyrbayev, O., Wang, G., Zuo, F., Akhmediyarova, A., Mukazhanov, N., & Ayapbergenova, A.
(2025). Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks. Future Internet, 17(7), 301.
https://doi.org/10.3390/fi17070301
