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Asmaa S. Al-Moisheer
Person information
- affiliation: Imam Mohammad Ibn Saud Islamic University (IMSIU), Department of Mathematics and Statistics, Faculty of Science, Riyadh, Saudi Arabia
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2020 – today
- 2026
[j14]SM Nuruzzaman Nobel
, All Moon Tasir
, Shirin Sultana, Asmaa Soliman Al-Moisheer, Mohammad Ali Moni
:
An explainable deep learning model for mulberry leaf classification and disease detection. Eng. Appl. Artif. Intell. 165: 113470 (2026)- 2025
[j13]Asmaa S. Al-Moisheer
, Khalaf S. Sultan
, Hossam M. M. Radwan
:
A Novel Adaptable Weibull Distribution and Its Applications. Axioms 14(7): 490 (2025)
[j12]Md. Samiul Alim
, Mahir Shahriar Tamim
, Shuvo Sarkar
, Mohammad Abu Yousuf
, Asmaa Soliman Al-Moisheer, Salem A. Alyami
, Mohammad Ali Moni
:
Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AI. Knowl. Based Syst. 330: 114711 (2025)
[j11]Kenechukwu F. Aforka, H. E. Semary, Sidney I. Onyeagu, Harrison O. Etaga, Okechukwu J. Obulezi
, Asmaa S. Al-Moisheer:
A New Exponentiated Power Distribution for Modeling Censored Data with Applications to Clinical and Reliability Studies. Symmetry 17(7): 1153 (2025)
[j10]Syed Tahir Raza Rizvi
, Atef F. Hashem
, Aiman Shahbaz, Zunaira Iqbal, Ijaz Ali, Asmaa S. Al-Moisheer, Aly R. Seadawy
:
Energy Analysis, Soliton Dynamics, Chaos, and Sensitivity Analysis for a Forced Damped Gardner Model. Symmetry 17(9): 1529 (2025)
[j9]Abdelrahman M. Yehia
, Atef F. Hashem
, Asmaa S. Al-Moisheer, Mohammed A. Sohaly
, Samar M. Madian, Mohammed M. Tharwat:
Geometric Properties and Applications in System Modeling for a Generalized q-Symmetric Operator. Symmetry 17(10): 1593 (2025)
[i1]Md. Naimur Asif Borno, Md Sakib Hossain Shovon, Asmaa Soliman Al-Moisheer, Mohammad Ali Moni:
Replay-Based Continual Learning with Dual-Layered Distillation and a Streamlined U-Net for Efficient Text-to-Image Generation. CoRR abs/2505.06995 (2025)- 2023
[j8]Naif Mohammed Alotaibi, Asmaa S. Al-Moisheer
, Ibrahim Elbatal, Mansour Shrahili
, Mohammed Elgarhy
, Ehab M. Almetwally
:
Bayesian and Non-Bayesian Estimation for a New Extension of Power Topp-Leone Distribution under Ranked Set Sampling with Applications. Axioms 12(8): 722 (2023)
[j7]Naif Mohammed Alotaibi, Ibrahim Elbatal, Mansour Shrahili
, Asmaa S. Al-Moisheer
, Mohammed Elgarhy
, Ehab M. Almetwally
:
Statistical Inference for the Kavya-Manoharan Kumaraswamy Model under Ranked Set Sampling with Applications. Symmetry 15(3): 587 (2023)- 2022
[j6]Mohamed S. Abdallah, Amer Ibrahim Al-Omari, Naif Mohammed Alotaibi, Ghadah Alomani
, Asmaa S. Al-Moisheer
:
Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability. Comput. Stat. 37(5): 2333-2362 (2022)
[j5]Naif Mohammed Alotaibi, Atef F. Hashem, Ibrahim Elbatal, Salem A. Alyami
, Asmaa S. Al-Moisheer
, Mohammed Elgarhy
:
Inference for a Kavya-Manoharan Inverse Length Biased Exponential Distribution under Progressive-Stress Model Based on Progressive Type-II Censoring. Entropy 24(8): 1033 (2022)
[j4]Naif Mohammed Alotaibi, Ibrahim Elbatal, Ehab M. Almetwally
, Salem A. Alyami
, Asmaa S. Al-Moisheer
, Mohammed Elgarhy
:
Bivariate Step-Stress Accelerated Life Tests for the Kavya-Manoharan Exponentiated Weibull Model under Progressive Censoring with Applications. Symmetry 14(9): 1791 (2022)
2010 – 2019
- 2016
[j3]Asmaa S. Al-Moisheer
, Khalaf S. Sultan
:
Estimation of a Discriminant Function from a Mixture of Two Burr Type III Distributions. Commun. Stat. Simul. Comput. 45(10): 3760-3775 (2016)
2000 – 2009
- 2009
[j2]Khalaf S. Sultan
, M. A. Ismail, Asmaa S. Al-Moisheer
:
Testing the number of components of the mixture of two inverse Weibull distributions. Int. J. Comput. Math. 86(4): 693-702 (2009)- 2007
[j1]Khalaf S. Sultan
, M. A. Ismail, Asmaa S. Al-Moisheer
:
Mixture of two inverse Weibull distributions: Properties and estimation. Comput. Stat. Data Anal. 51(11): 5377-5387 (2007)
Coauthor Index

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last updated on 2026-02-03 23:44 CET by the dblp team
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