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مواقع أعضاء هيئة التدريس

كل ما تحتاجه من أستاذك… في مكان واحد

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Dr.FUAD SAEED SAEED ALDUAIS

Associate Professor College of Sciences In Aflaj
  • Aflaj
  • 011-588-7472
  • f.alduais@psau.edu.sa
  • Curriculum Vitae
  • Publications

Education

  • • PhD of Statistics, Damascus University - Syria. 2009 • M.A. in Statistics, University of Baghdad, Iraq, 2001. • Bachelor in Statistics, University of Baghdad, Iraq, 1995.

Research Interests

  • Reliability Analysis
  •  Survival Analysis
  •  Probability and Applied statistics
  •  Robust Estimation

Experience

  • 2009 - until now - • Assistant Professor at the College of Administrative Sciences - Dhamar University - Yemen -
  • 2013 - 2019 - • Supervisor of the Statistics and Analysis Unit at the College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al Aflaj, Saudia Arabia. -
  • 2013 - until now - • Assistant Professor in the College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al Aflaj, Saudia Arabia. -

Responsibilities

  • • Supervisor of the Statistics and Analysis Unit at the College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, Al Aflaj, Saudia Arabia. 2013 -2019 • Member of the Sixth Standard Committee for Institutional Accreditation, Prince Sattam University • Member of the Planning and Data Collection Committee in the Strategic Plan Committee, Dhamar University. • Member of the committee for preparing and describing the study plan at Al-Saeeda College from 2011-2012. • Chairman of the Control Department at the College of Administrative Sciences, Dhamar University, during the period from 2010 to 2012. • Instructor in the Department of Business Administration, College of Administrative Sciences - Dhamar University. •

Publications

  • 1) Al-Duais, F. S.(2020). Using Non-Linear Programming to Determine Weighted Coefficient of Balanced Loss Function For Estimating Parameters and Reliability Function of Weibull Distribution. Advances and Applications in Statistics, 62(1),31-53.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000537862100003
  • 2) AL- Al-Duais, F. (2020) Determining of the Optimal Periods for Carrying out the Preventive Maintenance to Minimization Expected Total Costs. Advances and Applications in Statistics, 65(2) 227-246
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000614271500005
  • 3) Al-Duais, F., & Alhagyan, M. (2020). Bayesian Estimates Based On Record Values Under Weighted LINEX Loss Function. Pakistan Journal of Statistics and Operation Research, 11-19.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000526942600002
  • 4) Al-Duais, F. S., & Hmood, M. Y. (2020). Bayesian and non-Bayesian estimation of the Lomax model based on upper record values under weighted LINEX loss function. Periodicals of Engineering and Natural Sciences (PEN), 8(3), 1786-1794.‏Al-Duais. F. (2020) .
  • https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 5) Alhagyan, M., & Al-Duais, F . (2020). Forecasting the performance of tadawul all share index (TSI) using geometric Brownian motion and geometric fractional Brownian motion .Advances and Applications in Statistics, 62(1),31-53.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000537862100004
  • 6) Al-Duais. F. S. (2021). A Bayesian Analysis or record statistics form the Lomax model under Balanced Loss Functions with Non-linear programming. Advances and Applications in Statistics, 67(1).
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000645420100003
  • 7) Al-Duais. F. S. (2021) .Comparison of classical and Bayesian estimators to estimate the parameters in Weibull distribution under weighted general entropy loss function. International Journal of Advanced and Applied Sciences.8 (3) . 57-62.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000811316100008
  • 8) Al-Duais, F. S., & Alhagyan, M. (2021). Nonlinear Programming to Determine Best Weighted Coefficient of Balanced LINEX Loss Function Based on Lower Record Values. Complexity, 2021
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000664176600001
  • 9) Al-Duais, F. S. (2021). Bayesian reliability analysis based on the Weibull model under weighted General Entropy loss function. Alexandria Engineering Journal.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000709490700023
  • 10) Al-Duais, F. S. (2021). Bayesian Estimations under the Weighted LINEX Loss Function Based on Upper Record Values. Complexity, 2021.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000657725100002
  • 11) Al-Duais, F. S. (2021). Bayesian analysis of record statistic from the Inverse Weibull distribution under balanced loss function. Mathematical Problems in Engineering, 2021.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000637366700001
  • 12) AL- Al-Duais, F.S., & A. A. Modhesh . (2021) Estimation of PY  X  for Burr-XII distribution using record values: classical and MCMC Approaches. Advances and Applications in Statistics, 68(2) 173-200
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000677574700004
  • 13) Mohamed, A. A., Hessian, H. A., Al-Duais, F. S., & Eleuch, H. (2021). Quantum coherence induced by a flux qubit coupled by a resonator coherent field through a two-photon interaction. Physica Scripta, 96(12), 125120.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000730661200001
  • 14) Al-Duais, F.S.(2021).Bayesian Estimation Of The Scale Parameter Of Frechet Distribution Under Symmetric and Asymmetric Loss . Advances and Applications in Statistics, 71(2) 183-194.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000750861200004
  • 15) Ellahi, A., Hussain, I., Hashmi, M. Z., Almazah, M. M. A., & Al-Duais, F. S. (2021). Agricultural drought periods analysis by using nonhomogeneous poisson models and regionalization of appropriate model parameters. Tellus A: Dynamic Meteorology and Oceanography, 73(1), 1-16.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000687867800001
  • 16) Al-Duais, F.S .(2021) ,Estimation Of The Reliability Function Of The Inverse Gaussian Distribution Under A Bayesian By Using The Concept Of A Predictive Distribution. Advances and Applications in Statistics, 71(1) 1-10.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000723441300001
  • 17) Al-Duais, F.S.(2021).Bayesian Estimation Of The Reliability Function Of Normal Distribution By Using A Predictive Distribution. Advances and Applications in Statistics, 70(2). 155-168.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000711050000003
  • 18) Al-Duais, F.S .(2021) . A Bayesian Analysis Of Record Statistics From The Lomax Model Under Balanced Loss Functions With Nonlinear Programming. Advances and Applications in Statistics, 67(1). 33-45
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000645420100003
  • 19) Khan, Z., Al-Bossly, A., Almazah, M. M., & Alduais, F. S. (2021). On statistical development of neutrosophic gamma distribution with applications to complex data analysis. Complexity, 2021(1), 3701236.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000796530800001
  • 20) Al-Duais, F. S. (2022). Bayesian reliability analysis based on the Weibull model under weighted General Entropy loss function. Alexandria Engineering Journal, 61(1), 247-255.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000709490700023
  • 21) Alduais, F. S., Yassen, M. F., Almazah, M. M., & Khan, Z. (2022). Estimation of the Kumaraswamy distribution parameters using the E-Bayesian method. Alexandria Engineering Journal, 61(12), 11099-11110.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000803803500003
  • 22) Alduais, F. S., & Sayed-Ahmed, N. (2022). Estimation of parameters on probability density function using enhanced GLUE approach. Computational Intelligence and Neuroscience, 2022(1), 3250499.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000876419700006
  • 23) Alduais, F. S., & Jawa, T. M. (2022). Estimation of Parameters and Pooling in Nonlinear Flooding Event Scenarios with Bayesian Model. Computational Intelligence and Neuroscience, 2022(1), 6319197.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000861395600012
  • 24) Alduais, F. S. (2022). Approximate Bayes estimation of the Weibull distribution under weighted linex loss function. Advances and Applications in Statistics, 72, 25-39.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000750859300001
  • 25) Al-Duais, F. S., Mohamed, A. B., Jawa, T. M., & Sayed-Ahmed, N. (2022). Optimal periods of conducting preventive maintenance to reduce expected downtime and its impact on improving reliability. Computational Intelligence and Neuroscience, 2022(1), 7105526.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000774621600007
  • 26) Al-Duais, F. S., Asiri, S. A., Saeed, A., Majdoubi, J., Alam, M. M., & Gul, T. (2022). Electro‐Magnetohydrodynamic Fractional‐Order Fluid Flow with New Similarity Transformations. Journal of Nanomaterials, 2022(1), 5198968.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000813889100001
  • 27) Aydi, W., & Alduais, F. S. (2022). Estimating weibull parameters using least squares and multilayer perceptron vs. Bayes estimation. Comput Mater Con, 71, 4033-4050.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000729659500002
  • 28) Yassen, M. F., Al-Duais, F. S., & Almazah, M. M. (2022). Ridge Regression Method and Bayesian Estimators under Composite LINEX Loss Function to Estimate the Shape Parameter in Lomax Distribution. Computational intelligence and neuroscience, 2022(1), 1200611.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000874482400002
  • 29) Rehman, A. U., Gulistan, M., Khan, Z., & Al-Duais, F. S. (2022). A study of neutrosophic cubic hesitant fuzzy hybrid geometric aggregation operators and its application to multi expert decision making system. Neutrosophic Sets and Systems, 50(1), 5.
  • https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 30) Mahmood, T., Al-Duais, F. S., & Sun, M. (2022). Dynamics of Middle East respiratory syndrome coronavirus (MERS-CoV) involving fractional derivative with Mittag-Leffler kernel. Physica A: Statistical Mechanics and Its Applications, 606, 128144.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000883034300017
  • 31) Bilal, M., Alduais, F. S., Alrabaiah, H., & Saeed, A. (2022). Numerical evaluation of Darcy Forchhemier hybrid nanofluid flow under the consequences of activation energy and second-order chemical reaction over a slender stretching sheet. Waves in Random and Complex Media, 1-16.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000840553200001
  • 32) Shah, F., Aslam, M., Khan, Z., Almazah, M. M., & Alduais, F. S. (2022). On Neutrosophic Extension of the Maxwell Model: Properties and Applications. Journal of Function Spaces, 2022(1), 4536260.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000769774900001
  • 33) Raza, M. A., Almazah, M. M., Ali, Z., Hussain, I., & Al-Duais, F. S. (2022). Application of extreme learning machine algorithm for drought forecasting. Complexity, 2022(1), 4998200.
  • https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 34) Zeeshan, Khan, I., Feroz, N., Al-Duais, F. S., & Mahmoud, O. (2022). Visualization of non-Newtonian convective fluid flow with internal heat transfer across a rotating stretchable surface impact of chemical reaction. Scientific Reports, 12(1), 10392.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000816855900086
  • 35) Ramzan, M., Alduais, F. S., Dawar, A., Saeed, A., Kumam, P., & Watthayu, W. (2022). Effects of Soret and Dufour Numbers on the Three-Dimensional MHD Flow of Micropolar Fluid Containing Gyrotactic Microorganisms Over a Bidirectional Stretching Sheet With Cattaneo–Christov Heat and Mass Flux Model. Journal of Heat Transfer, 144(10), 101201.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000850899000012
  • 36) Rahman, M. U., Althobaiti, A., Riaz, M. B., & Al-Duais, F. S. (2022). A theoretical and numerical study on fractional order biological models with Caputo Fabrizio derivative. Fractal and Fractional, 6(8), 446.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000846986400001
  • 37) Qurban, M., Almazah, M. M., Nazir, H. M., Hussain, I., Ismail, M., Al-Duais, F. S., ... & Murshed, M. N. (2022). Improvement towards Prediction Accuracy of Principle Mineral Resources Using Threshold. Mathematical Problems in Engineering, 2022(1), 5991311.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000779486700006
  • 38) Parvin, S., Isa, S. S. P. M., Al-Duais, F. S., Hussain, S. M., Jamshed, W., Safdar, R., & Eid, M. R. (2022). The flow, thermal and mass properties of Soret-Dufour model of magnetized Maxwell nanofluid flow over a shrinkage inclined surface. PLoS One, 17(4), e0267148.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000880297100001
  • 39) Niaz, R., Almazah, M. M., Al-Duais, F. S., Iqbal, N., Khan, D. M., & Hussain, I. (2022). Spatiotemporal analysis of meteorological drought variability in a homogeneous region using standardized drought indices. Geomatics, Natural Hazards and Risk, 13(1), 1457-1481.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000805303300001
  • 40) Mohamed, A. B., Rahman, A. U., Abdel-Aty, A. H., Al-Duais, F. S., & Eleuch, H. (2022). Quantum memory and coherence dynamics of two qubits interacting with a coherent cavity under intrinsic decoherence. Optical and Quantum Electronics, 54(12), 783.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000861946600015
  • 41) Al-Duais, F. S., & Khan, Z. (2023). EWMA Control Chart for Rayleigh Process With Engineering Applications. IEEE Access, 11, 10196-10206.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000928144400001
  • 42) Alduais, Fuad S., Zahid Khan, and Muhammad Waseem. "Neutrosophic Control Chart for Rayleigh Quality with Applications To Wind Speed Data." International Journal of Neutrosophic Science 23.1 (2023): 59-73.
  • https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 43) Al-Duais, F. S., & Al-Sharpi, R. S. (2023). A unique Markov chain Monte Carlo method for forecasting wind power utilizing time series model. Alexandria Engineering Journal, 74, 51-63.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001007682800001
  • 44) Fatima, B., Yavuz, M., Rahman, M. U., & Al-Duais, F. S. (2023). Modeling the epidemic trend of middle eastern respiratory syndrome coronavirus with optimal control. Math. Biosci. Eng, 20(7), 11847-11874.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000993944400002
  • 45) Mohamed Ibrahim, A. M., Khan, Z., & Al-Duais, F. S. (2023). A New Modified Logistic Distribution: Properties and Applications in Uncertainty Data Modeling. International Journal of Neutrosophic Science (IJNS), 20(2).‏
  • https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 39) Shihabeldeen, H. Y. A. T., & Al-Duais, F. S. (2023). Bayes Estimation of Pareto Distribution Based on Type II Censored Data under the Weighted LINEX Loss Function.‏
  • .‏ https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 40) Ibrahim, A. M. M., & Alduais, F. S. (2023). Neutrosophic Structure of the Geometric Model with Applications. Neutrosophic Sets and Systems, 61(1), 21.‏
  • https://www.scopus.com/authid/detail.uri?authorId=57216661255
  • 41) Attaullah, Ullah, S., Drissi, R., & Al-Duais, F. S. (2023). A new type of cosine similarity measures based on intuitionistic hesitant fuzzy rough sets for the evaluation of volatile currency: evidence from the Pakistan economy. Knowledge and Information Systems, 65(11), 4741-4758.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001009568700001
  • 42) Atifa, A., Khan, M. A., Iskakova, K., Al-Duais, F. S., & Ahmad, I. (2022). Mathematical modeling and analysis of the SARS-Cov-2 disease with reinfection. Computational Biology and Chemistry, 98, 107678.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000793459100004
  • 43) Algehyne, E. A., Gamaoun, F., Lashin, M. M., Al-Duais, F. S., Singh, S., & Kumar, R. N. (2022). Blasius and Sakiadis flow of a Casson hybrid nanofluid over a moving plate. Waves in Random and Complex Media, 1-18.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000804597900001
  • 44) Algehyne, E. A., Alrihieli, H. F., Saeed, A., Alduais, F. S., Hayat, A. U., & Kumam, P. (2022). Numerical simulation of 3D Darcy–Forchheimer fluid flow with the energy and mass transfer over an irregular permeable surface. Scientific Reports, 12(1), 14629. https://www.webofscience.com/wos/woscc/full-record/WOS:000846571700048
  • 45) Al- Duais,F.S., &Walid Aydi. (2024), A New Neutrosophic Extended Rayliegh Distribution for Enhanced Productivity and Efficiency Across Industrial Sectors: A case study of Al-Kharj region. International Journal of Neutrosophic Science. , 24(2),120-130.
  • 46) Raza, M. A., Almazah, M. M., Hussain, I., Al-Duais, F. S., Al-Rezami, A. Y., & Omer, T. (2023). Bayesian logistic regression analysis for spatial patterns of inter-seasonal drought persistence. Geocarto International, 38(1), 2211041.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000993253300001
  • 47) AL-Essa, L. A., Al-Duais, F. S., Aydi, W., AL-Rezami, A. Y., & ALdosari, F. M. (2023). Statistical inference based on lower record values for the inverse Weibull distribution under the modified loss function. Alexandria Engineering Journal, 77, 31-40.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001031695700001
  • 48) Iqbal, A., Al-Essa, L. A., Shad, M. Y., Alduais, F. S., Yassen, M. F., & Raza, M. A. (2023). E-Bayesian Estimation of Hierarchical Poisson-Gamma Model on the Basis of Restricted and Unrestricted Parameter Spaces. Complexity, 2023.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000966172300001
  • 49) Al-Essa, L. A., Khan, Z., & Alduais, F. S. Neutrosophic logistic model with applications in fuzzy data modeling. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-14.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001193319500049
  • 50) Khalid, A., Sanaullah, A., Almazah, M. M., & Al-Duais, F. S. (2023). An Efficient Ratio-Cum-Exponential Estimator for Estimating the Population Distribution Function in the Existence of Non-Response Using an SRS Design. Mathematics, 11(6), 1312.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000959830900001
  • 51) Nabeel, M., Ali, S., Shah, I., Almazah, M. M., & Al-Duais, F. S. (2023). Robust Surveillance Schemes Based on Proportional Hazard Model for Monitoring Reliability Data. Mathematics, 11(11), 2480.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001004817900001
  • 52) Badar, Z., Almazah, M. M., Raza, M. A., Hussain, I., Al-Duais, F. S., & Al-Rezami, A. Y. (2023). Integration of three drought indices based on triple collocation and multi-scalar weighted amalgamated drought index. Stochastic Environmental Research and Risk Assessment, 1-17.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001118503100002
  • 53) Ellahi, A., Niaz, R., Almazah, M. M., Hussain, I., Al-Duais, F. S., & Al-Rezami, A. Y. (2023). A generalized framework for quantifying and monitoring the severity of meteorological drought. Geocarto International, 38(1), 2228261.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001021281000001
  • 54) Badar, Z., Almazah, M. M., Hussain, I., Al-Duais, F. S., Al-Rezami, A. Y., & Ijaz, M. S. (2023). Integration of Three Standardized Drought Indices utilizing Modified Triple Collocation and Scaled Triple Collocation relative to Triple Collocation. Water Resources Management, 37(13), 5081-5103.‏
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001076094800003
  • 55) Amin, H., Niaz, R., Albasheir, N. A., Al-Duais, F. S., Almazah, M., & Al-Rezami, A. Y. (2023). A New Comprehensive Framework for Identifying and Monitoring the Interseasonal Characteristics of Meteorological Drought. Complexity, 2023.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001129213900001
  • ‏Raza, M. A., Almazah, M., Al-ansari, N., Hussain, I., Al-Duais, F. S., & Naser, M. A. (2023). A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:000978570900001
  • 56) Chaudhary, A. M., Sanaullah, A., Hanif, M., Almazah, M. M., Albasheir, N. A., & Al-Duais, F. S. (2023). Efficient monitoring of a parameter of non-normal process using a robust efficient control chart: a comparative study. Mathematics, 11(19), 4157
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001083483400003
  • 57) Lone, S. A., Al-Essa, L. A., Al Bossly, A., Alduais, F. S., Eldin, S. M., & Saeed, A. (2023). Electrically conducting mixed convective flow of a hybrid nanoliquid over a rotating sphere with nonlinear thermal radiation. Case Studies in Thermal Engineering, 49, 103165.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001027867500001
  • 58) Awadalla, M., Rahman, M. U., Al-Duais, F. S., Al-Bossly, A., Abuasbeh, K., & Arab, M. (2023). Exploring the role of fractal-fractional operators in mathematical modelling of corruption. Applied mathematics in science and engineering, 31(1), 2233678.
  • https://www.webofscience.com/wos/woscc/full-record/WOS:001026528400001
  • 59) Ali, F., Zaib, A., Alduais, F. S., Al Bossly, A., Eldin, S. M., & Saeed, A. (2023). Bio-convection Eyring-Powell nanofluid through a spinning disk with a heated convective stretching sheet. Case Studies in Thermal Engineering, 47, 103041.
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  • 60) Lone, S. A., Al-Essa, L. A., Al-Bossly, A., Alduais, F. S., Ali, F., Eldin, S. M., & Saeed, A. (2023). Entropy minimization of GO–Ag/KO cross-hybrid nanofluid over a convectively heated surface. Nanotechnology Reviews, 12(1), 20230101.
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  • 61) Algehyne, E. A., Haq, I., Raizah, Z., Alduais, F. S., Saeed, A., & Galal, A. M. (2023). A passive control strategy of a micropolar hybrid nanofluid flow over a convectively heated flat surface. Journal of Magnetism and Magnetic Materials, 567, 170355.
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  • 63) Faizan Ahmed, M., Khalid, M., Ali, F., Al-Bossly, A., Alduais, F. S., Eldin, S. M., & Saeed, A. (2023). Importance of bioconvection flow on tangent hyperbolic nanofluid with entropy minimization. Frontiers in Physics, 11, 1154478.‏
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  • 64) Algehyne, E. A., Al-Bossly, A., Alduais, F. S., Almusawa, M. Y., & Saeed, A. (2023). Significance of the inclined magnetic field on the water-based hybrid nanofluid flow over a nonlinear stretching sheet. Nanotechnology, 34(21), 215401.
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  • 65) Al‐Bossly, A., Alduais, F. S., Lone, S. A., Almusawa, M. Y., & Saeed, A. (2023). A stratified MHD flow of Eyring‐Powell fluid containing gyrotactic microorganisms through a stretching sheet with mixed convection. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 103(9), e202200492.‏
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  • 66) Attaullah, Y. M. F., Alyobi, S., Al-Duais, F. S., & Weera, W. (2023). On the comparative performance of fourth order Runge–Kutta and the Galerkin–Petrov time discretization methods for solving nonlinear ordinary differential equations with application to some mathematical models in epidemiology. AIMS Math, 8(2), 3699-3729.‏
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  • 67) Ahmed, M. F., Khalid, M., Ali, F., Alduais, F. S., Al‐Bossly, A., & Saeed, A. (2023). Second law analysis in Darcy‐Forchheimer flow of tangent hyperbolic nanofluid in the presence of gyrotactic microorganisms. ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte Mathematik und Mechanik, 103(9), e202200466.‏
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  • 68) Ellahi, A., Niaz, R., Almazah, M. M., Hussain, I., Al-Duais, F. S., & Al-Rezami, A. Y. (2023). A generalized framework for quantifying and monitoring the severity of meteorological drought. Geocarto International, 38(1), 2228261.‏
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  • 69) Badar, Z., Almazah, M. M., Hussain, I., Al-Duais, F. S., Al-Rezami, A. Y., & Ijaz, M. S. (2023). Integration of Three Standardized Drought Indices utilizing Modified Triple Collocation and Scaled Triple Collocation relative to Triple Collocation. Water Resources Management, 37(13), 5081-5103.‏
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  • 81) Alrabaiah, H., Ullah, Z., Ahmad, I., Ansari, K. J., Qiu, D., & Al-Duais, F. S. (2023). Iterative investigation of Korteweg–de Vries equation using AB derivative in Caputo sense.‏
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  • 84) Zafar, S. S., Zaib, A., Ali, F., Alduais, F. S., Bossly, A. A., & Saeed, A. (2024). Second law analysis on Ree-Eyring nanoliquid and Darcy Forchheimer flow through a significant stratification in the gyrotactic microorganism. International Journal of Numerical Methods for Heat & Fluid Flow, 34(2), 494-519.‏
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  • 87) AL-Essa, L. A., Al-Duais, F. S., Aydi, W., & AL-Rezami, A. Y. (2024). Bayesian estimation of the Pareto model based on type-II censoring data by employing non-linear programming. Alexandria Engineering Journal, 87, 398-403.‏
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