Items where Author is "Li, K."
Article
Bandyopadhyay, S., Fabian, M., Li, K. (2023). Fiber-Bragg-Grating-Based Sensor System to Measure Battery State of Charge Based on a Machine Learning Model. Batteries, 9(10), article number 508. doi: 10.3390/batteries9100508
Cai, B., Li, K. & Fu, F. ORCID: 0000-0002-9176-8159 (2023).
Flexural behavior of steel fiber-reinforced coal gangue aggregate concrete beams.
Structures, 52,
pp. 131-145.
doi: 10.1016/j.istruc.2023.03.172
Cai, B., Li, K. & Fu, F. ORCID: 0000-0002-9176-8159 (2023).
Theoretical analysis of the moment-curvature relationship of coal gangue concrete beams.
Proceedings of the Institution of Civil Engineers - Structures and Buildings, 177(8),
pp. 728-748.
doi: 10.1680/jstbu.22.00066
Kralj-Hans, I., Li, K., Wesek, A. (2023). Leflunomide treatment for patients hospitalised with COVID-19: DEFEAT-COVID randomised controlled trial. BMJ Open, 13(4), article number e068179. doi: 10.1136/bmjopen-2022-068179
Li, Y., Li, K., Liu, X. (2022). A hybrid machine learning framework for joint SOC and SOH estimation of lithium-ion batteries assisted with fiber sensor measurements. Applied Energy, 325, article number 119787. doi: 10.1016/j.apenergy.2022.119787
Zhang, L., Liu, X., Li, K. (2022). Real-time battery temperature monitoring using FBG sensors: a data-driven calibration method. IEEE Sensors Journal, 22(19), pp. 18639-18648. doi: 10.1109/jsen.2022.3200589
Rente, B., Fabian, M., Vidakovic, M. (2021). Lithium-Ion Battery State-of-Charge Estimator Based on FBG-Based Strain Sensor and Employing Machine Learning. IEEE Sensors Journal, 21(2), pp. 1453-1460. doi: 10.1109/jsen.2020.3016080
Vidakovic, M., Rente, B., Fabian, M. (2019). Flow measurement inside a zinc-nickel flow cell battery using FBG based sensor system. Proceedings of SPIE, 11199, article number 1119915. doi: 10.1117/12.2539875
Kotov, R., Fochtmann, L., Li, K. (2017). Declining Clinical Course of Psychotic Disorders Over the Two Decades Following First Hospitalization: Evidence From the Suffolk County Mental Health Project. The American Journal of Psychiatry, 174(11), pp. 1064-1074. doi: 10.1176/appi.ajp.2017.16101191
Beaney, K. E., Ward, C.E., Bappa, D. A. S. (2016). A 19-SNP coronary heart disease gene score profile in subjects with type 2 diabetes: the coronary heart disease risk in type 2 diabetes (CoRDia study) study baseline characteristics. Cardiovascular Diabetology, 15(1), article number 141. doi: 10.1186/s12933-016-0457-7
Thesis
Li, K. (1998). Intelligent Adaptive Digital Distance Relaying for High Resistance Earth Faults. (Unpublished Doctoral thesis, City, University of London)