Page 338 - KM Matematika-BS-KLS-VIII-Baru_Neat
P. 338
18. Silitonga, P., Dewi, B. E., Bustamam, A., Al-Ash, H. S., “Evaluation
of Dengue Model Performances Developed Using Artiicial Neural
Network and Random Forest Classiiers”, Elsevier, Procedia
Computer Science, 135-143, 2021.
19. Holilah, D., Bustamam, A., Sarwinda, D., “Detection of Alzheimer’s
disease with segmentation approach using K-Means Clustering
and Watershed Method of MRI image”, IOP Publishing, Journal of
Physics: Conference Series, 2021.
20. Amalia, R., Bustamam, A., Sarwinda, D., “Detection and description
generation of diabetic retinopathy using convolutional neural
network and long short-term memory”, IOP Publishing, Journal of
Physics: Conference Series, 2021.
21. Rizki, A., Bustamam, A., Sarwinda, D., “Applications of cuckoo
search and ant lion optimization for analyzing protein-
protein interaction through regularized Markov clustering on
coronavirus”, IOP Publishing, Journal of Physics: Conference
Series, 2021.
22. Pratiwi, S. A., Bustamam, A., Sarwinda, D., “Application of soft
regularized markov clustering for analyzing protein-protein
interaction in sars-cov-2 and other related coronavirus”, IOP
Publishing, Journal of Physics: Conference Series, 2021.
23. Afriyani, R., Bustamam, A., Sarwinda, D., “Analyzing protein-
protein interactions of coronavirus using markov clustering with
cuckoo search and ant lion optimization”, IOP Publishing, Journal
of Physics: Conference Series, 012009, 2021.
24. Hilmizen, N., Bustamam, A., Sarwinda, D., “The multimodal deep
learning for diagnosing COVID-19 pneumonia from chest CT-scan
and X-ray images”, IEEE, 26-31, 2020, (3rd International Seminar
on Research of Information Technology and Intelligent Systems
(ISRITI)).
318

