Norouzi, M.; Gürkaş-Aydın, Z.; Turna, Ö.C.; Yağci, M.Y.; Aydin, M.A.; Souri, A.
A Hybrid Genetic Algorithm-Based Random Forest Model for Intrusion Detection Approach in Internet of Medical Things. Appl. Sci. 2023, 13, 11145.
https://doi.org/10.3390/app132011145
AMA Style
Norouzi M, Gürkaş-Aydın Z, Turna ÖC, Yağci MY, Aydin MA, Souri A.
A Hybrid Genetic Algorithm-Based Random Forest Model for Intrusion Detection Approach in Internet of Medical Things. Applied Sciences. 2023; 13(20):11145.
https://doi.org/10.3390/app132011145
Chicago/Turabian Style
Norouzi, Monire, Zeynep Gürkaş-Aydın, Özgür Can Turna, Mehmet Yavuz Yağci, Muhammed Ali Aydin, and Alireza Souri.
2023. "A Hybrid Genetic Algorithm-Based Random Forest Model for Intrusion Detection Approach in Internet of Medical Things" Applied Sciences 13, no. 20: 11145.
https://doi.org/10.3390/app132011145
APA Style
Norouzi, M., Gürkaş-Aydın, Z., Turna, Ö. C., Yağci, M. Y., Aydin, M. A., & Souri, A.
(2023). A Hybrid Genetic Algorithm-Based Random Forest Model for Intrusion Detection Approach in Internet of Medical Things. Applied Sciences, 13(20), 11145.
https://doi.org/10.3390/app132011145