[1] Stopping criterion for anisotropic image diffusion (2016). Optik-International Journal for Light and Electron Optics 127 (1), 156-160, Elsevier.
[2] Average Entropy: A New Uncertainty Measure with Application to Image Segmentation (2016). The American Statistician 70(1), 18-24, Taylor & Francis, American Statistical Association.
[3] A measure of discrimination between two double truncated distributions (2015). Communications in Statistics – Theory and Methods 44(9), 1797- 1805, Taylor & Francis.
[4] Deriving the efficiency function for type I censored sample from Pareto distribution using sup-entropy (2014). IMA Journal of Mathematical Control and Information 33(2)231-237, Oxford University Press.
[5] Efficiency Estimation of Type-I Censored Sample from Weibull Distribution Based on Sup-entropy (2017). Communications in Statistics-Simulation and Computation 46(4) 2678-2688, Taylor & Francis.
[6] Stopping Criterion for Linear Anisotropic Image Diffusion: A Fingerprint Image Enhancement Case (2016), EURASIP Journal on Image and Video Processing 6, 1-20, Springer.
[7] Accretion of Phantom Energy by Bardeen Black Hole (2014). International Journal of Theoretical Physics 53(6), 1953-1960, Springer.
[8] Efficiency of censored samples from exponential distribution based on sup-entropy (2012). Journal of Statistics 19(1), 43-53.
[9] Testing the Equality of Two Exponential Distributions (2016). Communications in Statistics-Simulation and Computation 45(7) 2249-2256, Taylor & Francis.
[10] Efficient solution for finding Hamilton cycles in undirected graphs (2016). Springer plus 5(1), Springer.
[11] Response to Average Entropy Does Not Measure Uncertainty (2017). The American
Statistician 71(1), 91- 91, Taylor & Francis, American Statistical Association.
[12] Deriving scale normalization factors for a GLoG detector (2018). IET Image Processing 12(9), 1673 – 1682, IET.
[13] Estimating the Income Distribution of Some Islamic Countries Based on Entropy Measures (2019). JKAU: Islamic Economics., 32(1),159-169.
[14] Comparison of two-lifetime models of solid-state lighting based on sup-entropy (2019). Heliyon 5(10), Elsevier.
[15] The conditional average entropies (2020). Communications in Statistics – Theory and Methods, 1- 8, Taylor & Francis.
[16] On efficiency of censored samples (2021). IMA Journal of Mathematical Control and Information, Oxford University Press, 38(2), 743-753.
[17] An Overview of Machine Learning-Based Techniques for Solving Optimization Problems in Communications and Signal Processing (2021). IEEE Access, 9, 74908 – 74938.
[18] Preferable Parametric Model for the Lifetime of the Organic Light-Emitting Diode Under Accelerated Current Stress Tests (2021). IEEE Transactions on Electron Devices, 68(9), 4478-4484.
[19] Choosing the Best Lifetime Model for Commercial Lithium-Ion Batteries (2021). Journal of Energy Storage, 41, 102827.
Conference Publications:
[1] An efficient censoring scheme for lifetime of connected solid-state lighting based on entropy measures, 14th Learning and Technology Conference, IEEE (2018), Jeddah, KSA.
[2] Estimating the Income Distribution of Some Islamic Countries Based on Entropy Measures, The 3rd Islamic Finance Conference (2017), Jeddah, KSA.
[3] Estimating the Lifetime Model for The Commercial Concentrator III–V Triple-Junction Solar Cells Using the Lognormal Distribution, IEEE 6th Asia Conference on Power and Electrical Engineering (2021), Chongqing, China.
[4] The Effects of Electrode Physical Parameters on the Statistical Life Models of Li-Ion Battery, International IOT, Electronics and Mechatronics Conference sponsored by IEEE, (2021) Vancouver & Toronto, Canada.
