Dr Alex Apeagyei
| Name | Dr Alex Apeagyei |
|---|---|
| ORCID | https://orcid.org/0000-0001-5003-3749 |
| Job title | Associate Professor in Engineering |
| Email address | aapeagyei@uel.ac.uk |
| Research institute | Architecture, Computing & Engineering |
Research outputs
Hybrid Transfer Learning and Support Vector Machine Models for Asphalt Pavement Distress Classification
Apeagyei, A., Ademolake, T. and Anochie-Boateng, J. 2024. Hybrid Transfer Learning and Support Vector Machine Models for Asphalt Pavement Distress Classification. Transportation Research Record. In Press. https://doi.org/10.1177/03611981241239958Road Deterioration detection A Machine Learning-Based System for Automated Pavement Crack Identification and Analysis
Ganeshan, D., Sharif, S., Apeagyei, A. and Elmedany, W. 2023. Road Deterioration detection A Machine Learning-Based System for Automated Pavement Crack Identification and Analysis. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391802Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research
Khairi, S., Sharif, S., Apeagyei, A. and Abbas, A. 2023. Artificial Intelligence Applications in Road Traffic Forecasting: A Review of Current Research. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391677Utilising Convolutional Neural Networks for Pavement Distress Classification and Detection
Sharif, S., Emiola, D. I., Zoto, A., Apeagyei, A. and Elmedany, W. 2023. Utilising Convolutional Neural Networks for Pavement Distress Classification and Detection. 3ICT 2023: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2023 IEEE. https://doi.org/10.1109/3ICT60104.2023.10391401Evaluation of deep learning models for classification of asphalt pavement distresses
Apeagyei, A., Ademolake, T. E. and Adom-Asamoah, M. 2023. Evaluation of deep learning models for classification of asphalt pavement distresses. International Journal of Pavement Engineering. 24 (Art. 2180641). https://doi.org/10.1080/10298436.2023.2180641Recommendation of RILEM TC237-SIB on cohesion test of recycled asphalt
Tebaldi, G., Dave, E., Cannone Falchetto, A., Hugener, M., Perraton, D., Grilli, A., Lo Presti, D., Pasetto, M., Loizos, A., Jenkins, K., Apeagyei, A., Grenfell, J. and Bocci, M. 2018. Recommendation of RILEM TC237-SIB on cohesion test of recycled asphalt. Materials and Structures. 51 (Art. 117). https://doi.org/10.1617/s11527-018-1238-4Cold Recycling of Reclaimed Asphalt Pavements
Tebaldi, G., Dave, E., Hugener, M., Falchetto, A. C., Perraton, D., Grilli, A., Lo Presti, D., Pasetto, M., Loizos, A., Jenkins, K., Apeagyei, A., Grenfell, J. and Bocci, M. 2018. Cold Recycling of Reclaimed Asphalt Pavements. in: Partl, M. N., Porot, L., Di Benedetto, H., Canestrari, F., Marsac, P. and Tebaldi, G. (ed.) Testing and Characterization of Sustainable Innovative Bituminous Materials and Systems: State-of-the-Art Report of the RILEM Technical Committee 237-SIB Springer. pp. 239-296Physical and rheological characterization of carbonated bitumen for paving applications
Apeagyei, A. and Airey, Gordon D. 2018. Physical and rheological characterization of carbonated bitumen for paving applications. Materials & Design. 140, pp. 345-356. https://doi.org/10.1016/j.matdes.2017.11.069Moisture damage evaluation of aggregate–bitumen bonds with the respect of moisture absorption, tensile strength and failure surface
Zhang, J., Airey, G. D., Grenfell, J. and Apeagyei, A. 2017. Moisture damage evaluation of aggregate–bitumen bonds with the respect of moisture absorption, tensile strength and failure surface. Road Materials and Pavement Design. 18 (4), pp. 833-848. https://doi.org/10.1080/14680629.2017.1286441Moisture sensitivity examination of asphalt mixtures using thermodynamic, direct adhesion peel and compacted mixture mechanical tests
Zhang, J., Airey, G. D., Grenfell, J. and Apeagyei, A. 2016. Moisture sensitivity examination of asphalt mixtures using thermodynamic, direct adhesion peel and compacted mixture mechanical tests. Road Materials and Pavement Design. 19 (1), pp. 120-138. https://doi.org/10.1080/14680629.2016.1249510Time dependent viscoelastic rheological response of pure, modified and synthetic bituminous binders
Airey, G. D., Grenfell, J. R. A., Apeagyei, A., Subhy, A. and Lo Presti, D. 2016. Time dependent viscoelastic rheological response of pure, modified and synthetic bituminous binders. Mechanics of Time-Dependent Materials. 20 (3), pp. 455-480. https://doi.org/10.1007/s11043-016-9295-yDevelopment of a composite substrate peel test to assess moisture sensitivity of aggregate–bitumen bonds
Zhang, J., Airey, G. D., Grenfell, J., Apeagyei, A. and Barrett, M. 2016. Development of a composite substrate peel test to assess moisture sensitivity of aggregate–bitumen bonds. International Journal of Adhesion and Adhesives. 68, pp. 133-141. https://doi.org/10.1016/j.ijadhadh.2016.02.013Influence of aggregate mineralogical composition on water resistance of aggregate–bitumen adhesion
Zhang, J., Apeagyei, A., Airey, G. D. and Grenfell, J. R. A. 2015. Influence of aggregate mineralogical composition on water resistance of aggregate–bitumen adhesion. International Journal of Adhesion and Adhesives. 62, pp. 45-54. https://doi.org/10.1016/j.ijadhadh.2015.06.012Influence of aggregate absorption and diffusion properties on moisture damage in asphalt mixtures
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2015. Influence of aggregate absorption and diffusion properties on moisture damage in asphalt mixtures. Road Materials and Pavement Design. 16 (Sup 1), pp. 404-422. https://doi.org/10.1080/14680629.2015.1030827Moisture damage assessment using surface energy, bitumen stripping and the SATS moisture conditioning procedure
Grenfell, J., Apeagyei, A. and Airey, G. 2015. Moisture damage assessment using surface energy, bitumen stripping and the SATS moisture conditioning procedure. International Journal of Pavement Engineering. 16 (5), pp. 411-431. https://doi.org/10.1080/10298436.2015.1007235Moisture-induced strength degradation of aggregate–asphalt mastic bonds
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2014. Moisture-induced strength degradation of aggregate–asphalt mastic bonds. Road Materials and Pavement Design. 15 (Sup 1), pp. 239-262. https://doi.org/10.1080/14680629.2014.927951Observation of reversible moisture damage in asphalt mixtures
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2014. Observation of reversible moisture damage in asphalt mixtures. Construction and Building Materials. 60, pp. 73-80. https://doi.org/10.1016/j.conbuildmat.2014.02.033Application of Fickian and non-Fickian diffusion models to study moisture diffusion in asphalt mastics
Apeagyei, A., Grenfell, J. R. A. and Airey, G. D. 2015. Application of Fickian and non-Fickian diffusion models to study moisture diffusion in asphalt mastics. Materials and Structures. 48 (5), pp. 1461-1474. https://doi.org/10.1617/s11527-014-0246-2Assessing asphalt mixture moisture susceptibility through intrinsic adhesion, bitumen stripping and mechanical damage
Grenfell, J., Ahmad, N., Liu, Y., Apeagyei, A., Large, D. and Airey, G. 2013. Assessing asphalt mixture moisture susceptibility through intrinsic adhesion, bitumen stripping and mechanical damage. Road Materials and Pavement Design. 15 (1), pp. 131-152. https://doi.org/10.1080/14680629.2013.863162Examination of moisture sensitivity of aggregate–bitumen bonding strength using loose asphalt mixture and physico-chemical surface energy property tests
Liu, Y., Apeagyei, A., Ahmad, N., Grenfell, J. and Airey, G. 2013. Examination of moisture sensitivity of aggregate–bitumen bonding strength using loose asphalt mixture and physico-chemical surface energy property tests. International Journal of Pavement Engineering. 15 (7), pp. 657-670. https://doi.org/10.1080/10298436.2013.8553123859
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