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For: Kurniawan R, Sheikh Abdullah SNH, Lestari F, Nazri MZA, Mujahidin A, Adnan N. Clustering and Correlation Methods for Predicting Coronavirus COVID-19 Risk Analysis in Pandemic Countries. 2020 8th International Conference on Cyber and IT Service Management (CITSM) 2020. [DOI: 10.1109/citsm50537.2020.9268920] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
Number Citing Articles
1 Hasan MM, Islam MU, Sadeq MJ, Fung WK, Uddin J. Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment. Sensors (Basel) 2023;23. [PMID: 36617124 DOI: 10.3390/s23010527] [Reference Citation Analysis]
2 Abdalla S, Alpu Ö. MULTIMOORA ile En İyi Makine Öğrenimi Algoritmasının Seçimi ve Covid-19 Pandemisi için Dünya Çapında Ülke Kümelerinin Belirlenmesi. EJOSAT 2022. [DOI: 10.31590/ejosat.1123516] [Reference Citation Analysis]
3 Jain G, Mahara T, Sharma SC, Verma OP, Sharma T. Clustering-Based Recommendation System for Preliminary Disease Detection. International Journal of E-Health and Medical Communications 2022;13:1-14. [DOI: 10.4018/ijehmc.313191] [Reference Citation Analysis]
4 Özen F. Estimation of Daily Cases, Deaths, Serious Patients and Recovering Pa-tients of Covid-19 in Turkey with Machine Learning Methods. Journal of Advanced Research in Natural and Applied Sciences 2022. [DOI: 10.28979/jarnas.1055917] [Reference Citation Analysis]
5 Chen B, Shen Y, Zhu G, Yu Y, Ji M. An Empirical Mode Decomposition Fuzzy Forecast Model for COVID-19. Neural Process Lett. [DOI: 10.1007/s11063-022-10836-3] [Reference Citation Analysis]
6 Nur A, Kurniawan R, Ahmad Nazri MZ, Rajab K, Papilo P, Mas'ari A. Solution to Traveling Freelance Teacher Problem using the Simple K-Means Clustering. 2021 4th International Conference of Computer and Informatics Engineering (IC2IE) 2021. [DOI: 10.1109/ic2ie53219.2021.9649086] [Reference Citation Analysis]
7 Bohani FA, Suliman A, Saripuddin M, Sameon SS, Md Salleh NS, Nazeri S, Mandeep JS. A Comprehensive Analysis of Supervised Learning Techniques for Electricity Theft Detection. Journal of Electrical and Computer Engineering 2021;2021:1-10. [DOI: 10.1155/2021/9136206] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Asadi S, Nilashi M, Abumalloh RA, Samad S, Ahani A, Ghabban F, Yusuf SYM, Supriyanto E. Evaluation of Factors to Respond to the COVID-19 Pandemic Using DEMATEL and Fuzzy Rule-Based Techniques. Int J Fuzzy Syst 2022;24:27-43. [DOI: 10.1007/s40815-021-01119-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]