Results for Machine learning

Publications & Outputs

1. “This is a deepfake!”: Celebrity scandals, parodic deepfakes, and a critically speculative ethics of care for fandom research in the age of Artificial Intelligence

   Li, E. C.-Y. & Pang, K.-W., 5/01/2025, (Accepted/In press) In: Transformative Works and Cultures. 46

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

2. Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

   Roldán, E., Reeves, N. D., Cooper, G. & Andrews, K., 30/09/2024, In: Journal of the mechanical behavior of biomedical materials. 157, 106630.

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

3. TALOS Wave Energy Converter Power Output Prediction Analysis Based on a Machine Learning Approach

   Wu, Y., Sheng, W., Taylor, J., Aggidis, G. & Ma, X., 9/09/2024, In: International Journal of Offshore and Polar Engineering . 34, 3, p. 306–313 8 p., ISOPE-24-34-3-306.

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

4. Intelligent Integration of Renewable Energy Resources Review: Generation and Grid Level Opportunities and Challenges

   Ghafoor, A., Aldahmashi, J., Apsley, J., Durovic, S., Ma, X. & Benbouzid, M., 2/09/2024, In: Energies. 17, 17, 29 p., 4399.

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

5. Research on concrete early shrinkage characteristics based on machine learning algorithms for multi-objective optimization

   Wang, J., Liu, H., Sun, J., Huang, B., Wang, Y., Zhao, H., Saafi, M. & Wang, X., 15/07/2024, In: Journal of Building Engineering. 89, 109415.

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

6. Machine learning for fatigue lifetime predictions in 3D-printed polylactic acid biomaterials based on interpretable extreme gradient boosting model

   Nasiri, H., Dadashi, A. & Azadi, M., 30/06/2024, In: MATERIALS TODAY COMMUNICATIONS. 39, 109054.

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

7. Enhancing Long-Term Predictive Accuracy in Wave Energy Converters through a Dual-Model Approach

   Wu, Y., Sheng, W., Taylor, C. J., Aggidis, G. & Ma, X., 17/06/2024, Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference. p. 633-640 8 p. 193-2024-TPC-0881

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

8. The Impact of Hard and Easy Negative Training Data on Vulnerability Prediction Performance

   Debeyan, F., Madeyski, L., Hall, T. & Bowes, D., 31/05/2024, In: Journal of Systems and Software. 211, 112003.

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

9. Automatic mapping of 500 m daily open water body fraction in the American continent using GOES-16 ABI imagery

   Wang, X., Atkinson, P., Zhang, Y., Li, X. & Zhang, K., 1/04/2024, In: Remote Sensing of Environment. 304, 114040.

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

10. Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome

    Yagin, F. H., Shateri, A., Nasiri, H., Yagin, B., Colak, C. & Alghannam, A. F., 20/03/2024, In: PeerJ Computer Science. 10, e1857.

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

11. Analysis and monitoring of single HaCaT cells using volumetric Raman mapping and machine learning

    Greenop, M., 6/01/2024, Lancaster University. 249 p.

    Research output: Thesis › Doctoral Thesis

More results »

Activities

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

   Fagan, D. (Organiser)

   1/06/2023 → 1/10/2023

   Activity: Membership types › Membership of committee