Page 278 - 2024-Vol20-Issue2

274 | Qadir, Abdalla & Abd

[20] A. Churcher and et al., “An experimental analysis of Materials Science and Engineering, vol. 928, p. 022035,
attack classification using machine learning in iot net- IOP Publishing, 2020.
works,” Sensors, vol. 21, no. 2, p. 446, 2021.
[32] Y. S. Ismael, M. Y. Shakor, and P. A. Abdalla, “Deep
[21] H. Alyasriy and A. Muayed, “The iq-othnccd lung can- learning based real-time face recognition system,” Neu-
cer dataset,” Mendeley Data, vol. 1, p. 2020, 2021. roQuantology, vol. 20, no. 6, pp. 7355–7366, 2022.

[22] C. I. Henschke, D. F. Yankelevitz, R. Mirtcheva,
G. McGuinness, D. McCauley, and O. S. Miettinen, “Ct
screening for lung cancer: frequency and significance of
part-solid and nonsolid nodules,” American Journal of
Roentgenology, vol. 178, no. 5, pp. 1053–1057, 2002.

[23] R. Smith-Bindman and et al., “Trends in use of medical
imaging in us health care systems and in ontario, canada,
2000-2016,” Jama, vol. 322, no. 9, pp. 843–856, 2019.

[24] S. Prusty, S. Patnaik, and S. K. Dash, “Skcv: Stratified
k-fold cross-validation on ml classifiers for predicting
cervical cancer,” Frontiers in Nanotechnology, vol. 4,
p. 972421, 2022.

[25] K. Simonyan and A. Zisserman, “Very deep convolu-
tional networks for large-scale image recognition,” arXiv
preprint arXiv:, 2014.

[26] J. Pardede, B. Sitohang, S. Akbar, and M. L. Khodra,
“Implementation of transfer learning using vgg16 on
fruit ripeness detection,” Int. J. Intell. Syst. Appl, vol. 13,
no. 2, pp. 52–61, 2021.

[27] A. M. Qadir, P. A. Abdalla, and M. I. Ghareb, “Malaria
parasite identification from red blood cell images using
transfer learning models,” Passer Journal of Basic and
Applied Sciences, vol. 4, no. Special issue, pp. 63–79,
2022.

[28] R. Kumar and S. Geetha, “Malware classification us-
ing xgboost-gradient boosted decision tree,” Adv. Sci.
Technol. Eng. Syst, vol. 5, pp. 536–549, 2020.

[29] M. S. Al-Huseiny and A. S. Sajit, “Transfer learning
with googlenet for detection of lung cancer,” Indone-
sian Journal of Electrical Engineering and Computer
Science, vol. 22, no. 2, pp. 1078–1086, 2021.

[30] H. F. Kareem, M. S. AL-Husieny, F. Y. Mohsen, E. A.
Khalil, and Z. S. Hassan, “Evaluation of svm perfor-
mance in the detection of lung cancer in marked ct scan
dataset,” Indonesian Journal of Electrical Engineering
and Computer Science, vol. 21, no. 3, p. 1731, 2021.

[31] H. F. Al-Yasriy, M. S. Al-Husieny, F. Y. Mohsen, E. A.
Khalil, and Z. S. Hassan, “Diagnosis of lung cancer
based on ct scans using cnn,” in IOP Conference Series: