| Predicting the travel mode choice with interpretable machine learning techniques: A comparative study MT Kashifi, A Jamal, MS Kashefi, M Almoshaogeh, SM Rahman Travel Behaviour and Society 29, 279-296, 2022 | 51 | 2022 |
| Efficient histogram-based gradient boosting approach for accident severity prediction with multisource data M Tamim Kashifi, I Ahmad Transportation research record 2676 (6), 236-258, 2022 | 22 | 2022 |
| A review of factors and benefits of non-motorized transport: a way forward for developing countries U Mansoor, MT Kashifi, FR Safi, SM Rahman Environment, Development and Sustainability 24 (2), 1560-1582, 2022 | 13 | 2022 |
| Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data MT Kashifi, M Al-Turki, AW Sharify International Journal of Transportation Science and Technology 12 (3), 793-808, 2023 | 10 | 2023 |
| Investigating two-wheelers risk factors for severe crashes using an interpretable machine learning approach and SHAP analysis MT Kashifi IATSS research 47 (3), 357-371, 2023 | 7 | 2023 |
| Spatiotemporal grid-based crash prediction—application of a transparent deep hybrid modeling framework MT Kashifi, IY Al-Sghan, SM Rahman, HM Al-Ahmadi Neural Computing and Applications 34 (23), 20655-20669, 2022 | 7 | 2022 |
| Water-energy-food nexus approach to assess crop trading in Saudi Arabia MT Kashifi, FSM Al-Ismail, S Chowdhury, HM Baaqeel, M Shafiullah, ... Sustainability 14 (6), 3494, 2022 | 7 | 2022 |
| Using Explainable Machine Learning to Predict Compressive Strength of Blended Concrete: A Data-Driven Metaheuristic Approach MT Kashifi, BA Salami, SM Rahman, W Alimi Asian Journal of Civil Engineering, 2023 | 6 | 2023 |
| Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment MM Rahman, SM Rahman, M Shafiullah, MA Hasan, U Gazder, ... Sustainability 14 (23), 16064, 2022 | 5 | 2022 |
| Spatiotemporal projections of precipitation and temperature over Afghanistan based on CMIP6 global climate models F Farhat, MT Kashifi, A Jamal, I Saba Modeling Earth Systems and Environment 8 (3), 4229-4242, 2022 | 5 | 2022 |
| Transit leverage assessment and climate change mitigation pathway for urbanised areas MT Kashifi, U Mansoor, SM Rahman International Journal of Global Warming 26 (1), 18-37, 2021 | 4 | 2021 |
| Robust spatiotemporal crash risk prediction with gated recurrent convolution network and interpretable insights from SHapley additive explanations MT Kashifi Engineering Applications of Artificial Intelligence 127, 107379, 2024 | 2 | 2024 |
| Traffic signal optimization framework using interpretable machine learning technique under heterogeneous-autonomy traffic environment M Al-Turki, MT Kashifi, NT Ratrout, SM Rahman Neural Computing and Applications, 1-21, 2024 | | 2024 |
| Deep Hybrid Attention Framework for Road Crash Emergency Response Management MT Kashifi IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| International Journal of Transportation Science and Technology MT Kashifi, M Al-Turki, AW Sharify | | 2022 |
| Paradigm Shift in Reducing Greenhouse Gas Emissions for Developing Countries - Focus on Behavioral Changes S Bishal, MR Shahedur, J Ahmed Rufai ,Musah Muhyedeen, Hossain Joy, ... international scholarly and scientific research & innovation at Dubai, UAE 15, 2021 | | 2021 |
| SHORT-TERM SPATIOTEMPORAL CRASH PREDICTION AND MODELING–APPLICATION OF DEEP LEARNING AND HYBRID MODELS MT Kashifi | | 2021 |
| Short-term Spatiotemporal Crash Prediction and Modeling – Application of Deep Learning and Hybrid Models HA Mohammad Tamim Kashifi, Syed Masiur Rahman, Ibrahim Al-Saghan King Fahd University of Petroleum & Minerals, 2021 | | 2021 |
| Citywide Crash Prediction Using an Interpretable Deep Learning Method MT Kashifi, S Rahman Available at SSRN 4363453, 0 | | |
| City-Wide Crash Risk Prediction and Interpretation Using Deep Learning Model with Multi-Source Big Data MT Kashifi Available at SSRN 4329686, 0 | | |
Syed Masiur RahmanKing Fahd University of Petroleum & MineralsVerified email at kfupm.edu.sa
