| Applying machine learning methods in managing urban concentrations of traffic-related particulate matter (PM10 and PM2. 5) A Suleiman, MR Tight, AD Quinn Atmospheric Pollution Research 10 (1), 134-144, 2019 | 126 | 2019 |
| Hybrid neural networks and boosted regression tree models for predicting roadside particulate matter A Suleiman, MR Tight, AD Quinn Environmental Modeling & Assessment 21, 731-750, 2016 | 59 | 2016 |
| Assessment and prediction of the impact of road transport on ambient concentrations of particulate matter PM10 A Suleiman, MR Tight, AD Quinn Transportation Research Part D: Transport and Environment 49, 301-312, 2016 | 38 | 2016 |
| Geotechnical investigation into the causes of cracks in building: A case study GH Yunusa, U Hamza, AY Abdulfatah, A Suleiman Electronic Journal of Geotechnical Engineering 18, 2823-2833, 2013 | 19 | 2013 |
| Selective estimations of empirical roadway capacity J Ben-Edigbe, H Alhassan, S Aminu Journal of Engineering & Applied Sciences 8 (1), 71-76, 2013 | 10 | 2013 |
| A comparative study of using Random Forests (RF), Extreme Learning Machine (ELM) and Deep Learning (DL) algorithms in modelling Roadside Particulate Matter (PM10 & PM2. 5) A Suleiman, MR Tight, AD Quinn IOP Conference Series: Earth and Environmental Science 476 (1), 012126, 2020 | 9 | 2020 |
| An analysis of air pollution at some industrial areas of Kano using the AERMOD Model M Idris, TH Darma, FS Koki, A Suleiman, MH Ali, SU Yarima, A Aliyu Bayero Journal of Pure and Applied Sciences 12 (1), 117-127, 2019 | 8 | 2019 |
| Development of a flexible pavement condition rating model using multi-attribute utility theory AI Imam, A Suleiman International Journal of Pavement Research and Technology 16 (5), 1079-1100, 2023 | 5 | 2023 |
| Multivariate study of vehicle exhaust particles using machine learning and statistical techniques A Suleiman University of Birmingham, 2016 | 3 | 2016 |
| APPLYING HYBRID FEATURE SELECTION METHODS FOR STATISTICAL MODELLING OF ROADSIDE PARTICLE CONCENTRATIONS (PM A Suleiman, MR Tight, AD Quinn Air Pollution Studies, 1, 2020 | 2 | 2020 |
| Extensive Evaluation of Neural Network Based PM 10 Prediction Models Using Openair Package A Suleiman, MR Tight, AD Quinn 20th International Transport and Air Pollution Conference 2014, 1-14, 2014 | 2 | 2014 |
| Development of geotechnical properties geo-database for soil in Kano metropolis to enhance building construction GH Yunusa, AS Kida, A Suleiman, A Idris Nigerian Journal of Technology 43 (1), 14-24, 2024 | | 2024 |
| Perceived Impact of Abuja-Kaduna Rail Transit on the Commuters’ Mode of Choice AB Baiti, A Suleiman, N Yusuf, K Samaila ATBU Journal of Science, Technology and Education 10 (3), 48-56, 2022 | | 2022 |
| Linear and nonlinear Hybrid models for predicting road side particulate matter (PM10) A Suleiman, M Tight, A Quinn UTSG conference, Newcastle, UK, 2014 | | 2014 |
Andrew QuinnProfessor of Climate Adaptation, School of Engineering, University of Birmingham在 windresearch.org 的电子邮件经过验证
