عنوان البحث | اسم المجلة | موضوع البحث | سنة النشر | DOI | الرابط الالكتروني |
A Smart IoT-Cloud Framework with Adaptive Deep Learning for Real-Time Epileptic Seizure Detection | Circuits, Systems, and Signal Processing | Operations Research\Applied Statistics | 2024 | |
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Enhanced deep learning network for accurate digital elevation model generation from LiDAR data | Automation in Construction | Operations Research\Applied Statistics | 2024 | |
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GIJA Enhanced geyser-inspired Jaya algorithm for task scheduling optimization in cloud computing | Transactions on Emerging Telecommunications Technologies | Operations Research | 2024 | |
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Hybrid Classification Approach Utilizing Dense UNet + for Diabetic Macular Edema Disorder Detection | International journal of online and biomedical engineering | Operations Research\Applied Statistics | 2024 | |
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Improved synergistic swarm optimization algorithm to optimize task scheduling problems in cloud computing | Sustainable Computing: Informatics and Systems | Operations Research\ Applied Statistics | 2024 | |
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Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System | Multimedia Tools and Applications | Operations Research\Applied Statistics | 2024 | |
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Segmented X-ray Image Data for Diagnosing Dental Periapical Diseases Using Deep Learning | Data in Brief | Operations Research\Applied Statistics | 2024 | |
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Selecting a set of best stochastic inventory policies measured by opportunity cost | AIMS Mathematics | Applied Statistics (Operations Research) | 2022 | |
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Selecting the best stochastic systems for large scale engineering problems | International Journal of Electrical and Computer Engineering (IJECE) | Operations Research | 2021 | |
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Stopping Rules for Selecting the Optimal Subset | Nonlinear Dynamics and Systems Theory | Operations Research | 2021 | |
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Confidence intervals for the scale parameter of a two-parameter weibull distribution: one sample problem | International Journal of Applied Mathematics | Applied Statistics | 2020 | |
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Reliability Performance of Improved General Series-Parallel Systems in the Generalized Exponential Lifetime Model | International Journal of Performability Engineering | Applied Statistics | 2019 | |
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A method for selecting the best performance systems | International Journal of Pure and Applied Mathematics | Applied Statistics (Operations Research) | 2018 | |
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Bayesian estimation of the Weibull parameters based on competing risks grouped data | Electronic Journal of Applied Statistical Analysis | Statistics | 2018 | |
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A Combined Statistical Selection Procedure Measured by the Expected Opportunity Cost | Arabian Journal for Science and Engineering | Operation Research | 2017 | |
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On the optimal computing budget allocation problem for large scale simulation optimization | Simulation Modelling Practice and Theory | Operation Research | 2017 | |
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Ordinal optimization with optimal computing budget for selecting an optimal subset | Asia-Pacific Journal of Operational Research | Operation Research | 2016 | |
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The expected opportunity cost and selecting the optimal subset | Applied Mathematical Sciences | Operation Research | 2015 | |
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Efficient approach for selecting the best subset of buffer profile | International Journal of Open Problems in Computer Sciences and Mathematics | Operation Research | 2014 | |
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The effect of simulation parameters on the selection approach | International Journal of Open Problems in Computer Sciences and Mathematics | Operation Research | 2014 | |
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A selection approach for solving the buffer allocation problem | International Journal of the Physical Sciences | Operation Research | 2012 | |
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A three-stage procedure for selecting a good enough simulated system | Journal of Applied Probability and Statistics | Operation Research | 2012 | |
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Selecting a good stochastic system for the large number of alternatives | Communications in Statistics–Simulation and Computation | Operation Research | 2012 | |
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Selecting the best system using the three–stage and the four–stage selection approaches | Applied Mathematical Sciences | Operation Research | 2012 | |
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Efficiency of different stopping rules for selecting a good system | World Applied Science Journal | Operation Research | 2011 | |
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Selecting a good enough stochastic design | Far East Journal of Applied Mathematics | Operation Research | 2011 | |
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Three–stage selection approach with the initial simulation sample size | International Journal of Pure and Applied Mathematics | Operation Research | 2011 | |
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Selecting a good enough simulated design with opportunity cost | International Journal of Mathematics and Computation | Operation Research | 2010 | |
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Three–stage procedure and expected opportunity cost for selecting a good simulated design | Research Journal of Applied Sciences | Operation Research | 2010 | |
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Subset selection of best simulated systems | Journal of the Franklin Institute | Operation Research | 2007 | |
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