Carbon nanotube field-effect transistor (CNT-FET)-based biosensor for rapid detection of SARS-CoV-2 (COVID-19) surface spike protein S1 MA Zamzami, G Rabbani, A Ahmad, AA Basalah, WH Al-Sabban, SN Ahn, ... Bioelectrochemistry 143, 107982, 2022 | 150 | 2022 |
Wind-energy based path planning for unmanned aerial vehicles using markov decision processes WH Al-Sabban, LF Gonzalez, RN Smith 2013 IEEE International conference on robotics and automation, 784-789, 2013 | 123 | 2013 |
An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle P Ngo, W Al-Sabban, J Thomas, W Anderson, J Das, RN Smith Proceedings of Australasian Conference on Robotics and Automation …, 2013 | 29 | 2013 |
Wind-energy based path planning for electric unmanned aerial vehicles using markov decision processes WH Al-Sabban, LF Gonzalez, RN Smith, GF Wyeth Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2012 | 28 | 2012 |
Survey of unmanned subterranean exploration, navigation, and localisation J Martz, W Al‐Sabban, RN Smith IET Cyber‐Systems and Robotics 2 (1), 1-13, 2020 | 22 | 2020 |
Extending persistent monitoring by combining ocean models and Markov decision processes WH Al-Sabban, LF Gonzalez, RN Smith 2012 Oceans, 1-10, 2012 | 19 | 2012 |
Susceptibility of ABO blood group to COVID-19 infections: clinico-hematological, radiological, and complications analysis SM Kabrah, SS Abuzerr, MA Baghdadi, AM Kabrah, AF Flemban, ... Medicine 100 (52), e28334, 2021 | 11 | 2021 |
Fabrication and characterization of field effect transistor based on single walled carbon nanotubes MA Zamzami, G Rabbani, A Ahmad, AA Basalah, WH Al-Sabban, SN Ahn, ... Journal of King Saud University-Science 34 (6), 102137, 2022 | 10 | 2022 |
Towards an automated islamic fatwa system: Survey, dataset and benchmarks AA Munshi, WH AlSabban, AT Farag, OE Rakha, AA Al Sallab, M Alotaibi International Journal of Computer Science and Mobile Computing 10 (4), 118-131, 2021 | 9 | 2021 |
Identification of soil type in Pakistan using remote sensing and machine learning YU Haq, M Shahbaz, HMS Asif, A Al-Laith, W Alsabban, MH Aziz PeerJ Computer Science 8, e1109, 2022 | 8 | 2022 |
Automated Islamic jurisprudential legal opinions generation using artificial intelligence AA Munshi, WH AlSabban, AT Farag, OE Rakha, A Al Sallab, M Alotaibi Pertanika Journal of Science and Technology 30 (2), 1135-1156, 2022 | 6 | 2022 |
Feedback motion planning for long-range autonomous underwater vehicles OS Orioke, T Alam, J Quinn, R Kaur, WH Alsabban, L Bobadilla, RN Smith OCEANS 2019-Marseille, 1-6, 2019 | 6 | 2019 |
Towards energy-aware feedback planning for long-range autonomous underwater vehicles T Alam, A Al Redwan Newaz, L Bobadilla, WH Alsabban, RN Smith, ... Frontiers in Robotics and AI 8, 621820, 2021 | 5 | 2021 |
Development of environmental niche models for use in underwater vehicle navigation M Fitzpatrick, GM Reis, J Anderson, L Bobadilla, W Al Sabban, RN Smith IET Cyber‐Systems and Robotics 2 (2), 67-77, 2020 | 5 | 2020 |
Spatial Mapping of Soil Salinity Using Machine Learning and Remote Sensing in Kot Addu, Pakistan Y Haq, M Shahbaz, HMS Asif, A Al-Laith, WH Alsabban Sustainability 15 (17), 12943, 2023 | 4 | 2023 |
Automatic categorization of Islamic jurisprudential legal questions using hierarchical deep learning text classifier WH AlSabban, SS Alotaibi, AT Farag, OE Rakha, AA Al Sallab, M Alotaibi International Journal of Computer Science & Network Security 21 (9), 281-291, 2021 | 3 | 2021 |
Persistent robot tasking for environmental monitoring through crowd-sourcing W Al-Sabban, J Das, RN Smith 2013 OCEANS-San Diego, 1-6, 2013 | 3 | 2013 |
Al-Sabban, Luis F. Gonzalez, and Ryan N. Smith H Wesam Wind-energy based path planning for unmanned aerial vehicles using Markov …, 2013 | 2 | 2013 |
Solar powered uav for fire prevention and planning L Gonzalez, W Al Sabban, R Walker Solar powered UAV for fire prevention and planning, 2009 | 2 | 2009 |
Wesam Al—Sabban, Jesse Thomas, Will Anderson, Jnashewar Das and Ryan N. Smith. An Analysis of Regression Models for Predicting the Speed of a Wave Glider Autonomous Surface … P Ngo Proceedings of Australasian, 0 | 2 | |