Mohamad Khalil
Mohamad Khalil
Research Assistant, Sustainable Civil Infrastructure Systems Research Group, University of Sharjah
Verified email at sharjah.ac.ae
Title
Cited by
Cited by
Year
Modeling roadway traffic noise in a hot climate using artificial neural networks
K Hamad, MA Khalil, A Shanableh
Transportation Research Part D: Transport and Environment 53, 161-177, 2017
252017
Infrastructure growth assessment of urban areas based on multi-temporal satellite images and linear features
R Al-Ruzouq, K Hamad, A Shanableh, M Khalil
Annals of GIS 23 (3), 183-201, 2017
82017
Potential groundwater zone mapping based on geo-hydrological considerations and multi-criteria spatial analysis: North UAE
R Al-Ruzouq, A Shanableh, T Merabtene, M Siddique, MA Khalil, AE Idris, ...
Catena 173, 511-524, 2019
32019
Developing free-field roadway traffic noise predictive model for Sharjah City, United Arab Emirates.
K Hamad, M Khalil, A Shanableh
Advances in Transportation Studies, 2016
32016
Weighted multi-attribute framework to identify freeway incident hot spots in a spatiotemporal context
R Al-Ruzouq, K Hamad, SA Dabous, W Zeiada, MA Khalil, T Voigt
Arabian Journal for Science and Engineering 44 (10), 8205-8223, 2019
22019
Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach
R Al-Ruzouq, A Shanableh, AG Yilmaz, AE Idris, S Mukherjee, MA Khalil, ...
Water 11 (9), 1880, 2019
22019
Investigation and modelling of asphalt pavement performance in cold regions
W Zeiada, K Hamad, M Omar, BS Underwood, MA Khalil, AS Karzad
International Journal of Pavement Engineering 20 (8), 986-997, 2019
22019
Developing Machine Learning Models to Predict Roadway Traffic Noise: An Opportunity to Escape Conventional Techniques
M Ali Khalil, K Hamad, A Shanableh
Transportation Research Record 2673 (4), 158-172, 2019
22019
CALIBRATED MULTI-TEMPORAL EDGE IMAGES FOR CITY INFRASTRUCTURE GROWTH ASSESSMENT AND PREDICTION.
R Al-Ruzouq, A Shanableh, Z Boharoon, M Khalil
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018
22018
Modeling Roadway Traffic Noise in Sharjah, United Arab Emirates
K Hamad, MA Khalil, A Shanableh
Transportation Research Board 95th Annual MeetingTransportation Research Board, 2016
12016
Predicting Incident Duration Using Random Forests
K Hamad, R Al-Ruzouq, W Zeiada, SA Dabous, MA Khalil
Transportmetrica A: Transport Science, 1-35, 2020
2020
Machine Learning for Pavement Performance Modelling in Warm Climate Regions
W Zeiada, SA Dabous, K Hamad, R Al-Ruzouq, MA Khalil
Arabian Journal for Science and Engineering, 1-19, 2020
2020
Spatio-temporal analysis of urban growth and its impact on floods in Ajman City, UAE
R Al-Ruzouq, AG Yilmaz, A Shanableh, ZA Boharoun, MA Khalil, ...
Environmental monitoring and assessment 191 (11), 656, 2019
2019
Predicting Freeway Incident Duration Using Machine Learning
K Hamad, MA Khalil, AR Alozi
International Journal of Intelligent Transportation Systems Research, 1-14, 2019
2019
Developing Machine Learning Models to Predict Incident Duration
K Hamad, MA Khalil, AR Alozi
Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019
2019
Greywater reuse policies and practice in the city of Sharjah, United Arab Emirates
A Shanableh, M Abdallah, R Al-Ruzouq, T Merabtene, M Siddique, ...
10th International Conference on Water Sensitive Urban Design: Creating …, 2018
2018
Multi-Temporal satellite imagery for infrastructure growth assessment of Dubai City, UAE
MA Khalil, R Al-Ruzouq, K Hamad, A Shanableh
MATEC Web of Conferences 120, 09006, 2017
2017
Modelling of road traffic noise in Sharjah city in the United Arab Emirates
MA Khalil, KI Hamad, AM Shanableh
INTER-NOISE and NOISE-CON Congress and Conference Proceedings 250 (2), 5108-5118, 2015
2015
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Articles 1–18