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Mohd Sabri Ismail
Mohd Sabri Ismail
Senior Lecturer, Universiti Kebangsaan Malaysia (UKM)
ukm.edu.my üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange
MS Ismail, MSM Noorani, M Ismail, FA Razak, MA Alias
Applied Soft Computing 93, 106422, 2020
562020
Early warning signals of financial crises using persistent homology
MS Ismail, MSM Noorani, M Ismail, FA Razak, MA Alias
Physica A: Statistical Mechanics and Its Applications 586, 126459, 2022
292022
Detecting early warning signals of major financial crashes in bitcoin using persistent homology
MS Ismail, SI Hussain, MSM Noorani
IEEE Access 8, 202042-202057, 2020
192020
MS; Ismail, M.; Abdul Razak, F.; Alias, MA Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala …
MS Ismail, M Noorani
Appl. Soft Comput. J 93, 106422, 2020
92020
Early warning signals of financial crises using persistent homology and critical slowing down: evidence from different correlation tests
MS Ismail, MS Md Noorani, M Ismail, F Abdul Razak
Frontiers in Applied Mathematics and Statistics 8, 940133, 2022
62022
Modeling the Characteristics of Unhealthy Air Pollution Events Using Bivariate Copulas
MS Ismail, N Masseran
Symmetry 15 (4), 907, 2023
42023
Risk assessment for extreme air pollution events using vine copula
MS Ismail, N Masseran
Stochastic Environmental Research and Risk Assessment, 1-28, 2024
32024
The dynamical properties of even shift space
MS Ismail, SC Dzul-Kifli
AIP Conference Proceedings 1870 (1), 2017
22017
Modeling Asymmetric Dependence Structure of Air Pollution Characteristics: A Vine Copula Approach
MS Ismail, N Masseran, MA Alias, S Abu Bakar
Mathematics 12 (4), 576, 2024
2024
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Makaleler 1–9