Results for Machine learning

Publications & Outputs

1. A systematic review of machine learning approaches in carbon capture applications

   Hussin, F., Md Rahim, S. A. N., Hatta, N. S. M., Aroua, M. K. & Mazari, S. A., 31/05/2023, In: Journal of CO2 Utilization. 71, 16 p., 102474.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning

   Meza Ramirez, C. A., Greenop, M., Almoshawah, Y. A., Martin Hirsch, P. L. & Rehman, I. U., 4/05/2023, In: Expert Review of Molecular Diagnostics. 23, 5, p. 375-390 16 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. A novel genetic expression programming assisted calibration strategy for discrete element models of composite joints with ductile adhesives

   Wang, X-E., Kanani, A. Y., Pang, K., Yang, J., Ye, J. & Hou, X., 30/11/2022, In: Thin-Walled Structures. 180, 18 p., 109985.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. Post-script - Retail forecasting: Research and Practice

   Fildes, R., Kolassa, S. & Ma, S., 31/10/2022, In: International Journal of Forecasting. 38, 4, p. 1319-1324 6 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. The performance of the global bottom-up approach in the M5 accuracy competition: a robustness check

   Ma, S. & Fildes, R., 31/10/2022, In: International Journal of Forecasting. 38, 4, p. 1492-1499 8 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. The practicality of Malaysia dengue outbreak forecasting model as an early warning system

   Ismail, S., Fildes, R., Ahmad, R., Wan Mohamad Ali, W. N. & Omar, T., 30/09/2022, In: Infectious Disease Modelling. 7, 3, p. 510-525 16 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

7. Correcting ozone biases in a global chemistry-climate model: implications for future ozone

   Liu, Z., Doherty, R. M., Wild, O., O'Connor, F. M. & Turnock, S. T., 26/09/2022, In: Atmospheric Chemistry and Physics. 22, 18, p. 12543-12557 15 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

8. Tailoring interfacial properties of 3D-printed continuous natural fiber reinforced polypropylene composites through parameter optimization using machine learning methods

   Cai, R., Wen, W., Wang, K., Peng, Y., Ahzi, S. & Chinesta, F., 31/08/2022, In: MATERIALS TODAY COMMUNICATIONS. 32, 11 p., 103985.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. Application of machine learning methods on dynamic strength analysis for additive manufactured polypropylene-based composites

   Cai, R., Wang, K., Wen, W., Peng, Y., Baniassadi, M. & Ahzi, S., 30/06/2022, In: Polymer Testing. 110, 12 p., 107580.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

10. Mobile games success and failure: mining the hidden factors

    Kerim, A. & Genc, B., 2/04/2022, (E-pub ahead of print) In: Neural Computing and Applications. 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

11. Progress and perspectives of in-situ optical monitoring in laser beam welding: Sensing, characterization and modeling

    Wu, D., Zhang, P., Yu, Z., Gao, Y., Zhang, H., Chen, H., Chen, S. & Tian, Y., 31/03/2022, In: Journal of Manufacturing Processes. 75, p. 767-791 25 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

More results »

Activities

1. LOD 2023 The 9th International Conference on Machine Learning Optimization Data Science (Event)

   Des Fagan (Organiser)

   1/06/2023 → 1/10/2023

   Activity: Membership types › Membership of committee