20 results on '"Al-Bdairi, Nabeel Saleem Saad"'
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2. Exploring senior motorcyclist injury severity crashes: Random parameter model with heterogeneity in mean and variance
3. Injury severity of drowsy drivers involved in single vehicle crashes: Accounting for temporal instability and unobserved heterogeneity
4. A novel methodology to predict monthly municipal water demand based on weather variables scenario
5. Assessment of temporal stability in risk factors of crashes at horizontal curves on rural two-lane undivided highways
6. Determinant of injury severities in large truck crashes: A weekly instability analysis
7. Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means (and variances) approach
8. Comparison of contributing factors for injury severity of large truck drivers in run-off-road crashes on rural and urban roadways: Accounting for unobserved heterogeneity
9. Does time of day matter at highway work zone crashes?
10. Injury severity of single-vehicle weather-related crashes on two-lane highways
11. An empirical analysis of run-off-road injury severity crashes involving large trucks
12. Assessing the Benefits of Nature-Inspired Algorithms for the Parameterization of ANN in the Prediction of Water Demand
13. Assessing the Benefits of Nature-Inspired Algorithms for the Parameterization of ANN in the Prediction of Water Demand
14. Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm
15. Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting
16. Drought Forecasting: A Review and Assessment of the Hybrid Techniques and Data Pre-Processing
17. Applicability of ANN Model and CPSOCGSA Algorithm forMulti-Time Step Ahead River Streamflow Forecasting
18. Prediction and Forecasting of Maximum Weather Temperature Using a Linear Autoregressive Model
19. Contributing Factors to Run-Off-Road Crashes Involving Large Trucks under Lighted and Dark Conditions
20. A Novel Methodology for Prediction Urban Water Demand by Wavelet Denoising and Adaptive Neuro-Fuzzy Inference System Approach.
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