Items where Author is "Wang, F"

Article

Chen, Y, Yang, Z, Liu, Y, Gue, Y, Zhong, Z, Chen, T, Wang, F, McDowell, G, Huang, B and Lip, GYH ORCID: 0000-0002-7566-1626 (2024) Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning. Cardiovascular Diabetology, 23 (1).

Wang, F, Fu, C, Liu, K, Huang, S, Gao, Y ORCID: 0000-0001-7310-1476 and Xie, H (2024) Experimental study and numerical simulation of concrete pavement electrical heating for snow melting. Construction and Building Materials, 442. ISSN 0950-0618

Lam, S, Wang, F, Yeap, SP ORCID: 0000-0002-0203-2722, Teng, KH, Shaw, A ORCID: 0000-0001-5961-2464, Karunamoothei, V, Khosravi, V and Liu, C (2024) On the Rapid Synthesis of Reduced Graphene Oxide via Ultrasound-Promoted Eco-Friendly Reduction Approach and Its Effects on Physicochemical Properties. ChemSusChem. ISSN 1864-5631

Endsley, R ORCID: 0000-0003-4564-2771, Stark, DP, Lyu, J, Wang, F, Yang, J, Fan, X, Smit, R ORCID: 0000-0001-8034-7802, Bouwens, R, Hainline, K and Schouws, S (2023) ALMA confirmation of an obscured hyperluminous radio-loud AGN at z = 6.853 associated with a dusty starburst in the 1.5 deg2 COSMOS field. Monthly Notices of the Royal Astronomical Society, 520 (3). pp. 4609-4620. ISSN 0035-8711

Endsley, R ORCID: 0000-0003-4564-2771, Stark, DP, Fan, X, Smit, R ORCID: 0000-0001-8034-7802, Wang, F, Yang, J, Hainline, K, Lyu, J, Bouwens, R and Schouws, S (2022) Radio and far-IR emission associated with a massive star-forming galaxy candidate at z ∼ 6.8: a radio-loud AGN in the reionization era? Monthly Notices of the Royal Astronomical Society, 512 (3). pp. 4248-4261. ISSN 0035-8711

Liu, L, Xie, C, Wang, R, Yang, P, Sudirman, S, Zhang, J, Liu, W and Wang, F (2020) Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features with Stationary Trap Devices. IEEE Transactions on Industrial Informatics, 17 (11). pp. 7589-7598. ISSN 1551-3203

Liu, L, Wang, R, Xie, C, Yang, P, Wang, F, Sudirman, S and Liu, W (2019) PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access. ISSN 2169-3536

Conference or Workshop Item

Liu, L, Wang, R, Xie, C, Yang, P, Sudirman, S, Wang, F and Li, R (2019) Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. In: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) . (IEEE International Conference on Industrial Informatics, 22 July 2019 - 25 July 2019, Helnsinki, Finland).