Items where Division is "Department of Computer Science" and Year is 2026

Dorobantu, D. M., Huang, Q., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Brown, K. L., Franklin, R., Crowe, S., Pagel, C. and Stoica, S. (2026) Contemporary outcomes of childhood aortic coarctation interventions: a national registry analysis of mortality, reinterventions and hospital resource use. Heart, 112 (4). pp. 208-215. ISSN 1468-201X doi: 10.1136/heartjnl-2024-325346

Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Pagel, C., Ambler, G., Brown, K. L., Coats, L., Franklin, R. C., Kennedy, F., Lotto, A., Stickley, J., Stoica, S., Taylor, J. A., Tsang, V., van Doorn, C., von Klemperer, K. and Crowe, S. (2026) New models for risk-adjusted monitoring of post-surgical complications and mortality in adult congenital heart disease in England and Wales. The Annals of Thoracic Surgery, 121 (2). pp. 422-429. ISSN 1552-6259 doi: 10.1016/j.athoracsur.2025.07.030

Markchom, T. ORCID: https://orcid.org/0000-0002-2685-0738, Kourounioti, O., Marturini, M., Bratskas, R., Wohlleben, K., Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Chen, L., Voskopoulos, G., Kontopoulos, C., Veigl, S., Opitz, A., Gkamaris, A., Papachristos, D., Lunic, D., Ferryman, J., Kriechbaum-Zabini, A. and Leventakis, G. (2026) Multi-altitude, multimodal maritime surveillance system. IEEE Sensors Journal, 26 (5). 7101 -7119. ISSN 1558-1748 doi: 10.1109/JSEN.2025.3649549

Mitchell, H. K., Abdelmoumene, M., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400, Ambler, G., Taylor, J., Franklin, R. C. G., Pagel, C., Crowe, S. and Brown, K. (2026) Postoperative complications after paediatric cardiac surgery: the role of ethnicity and deprivation – a national cohort study. Archives of Disease in Childhood, 111 (4). pp. 356-363. ISSN 0003-9888 doi: 10.1136/archdischild-2025-329267

Mu, Y., Xiong, Z., Wang, Y., Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Essl, F., Kreft, H., van Kleunen, M. and Zhu, X. X. (2026) GlobalGeoTree: a multi-granular vision-language dataset for global tree species classification. Earth System Science Data, 18 (2). pp. 1379-1403. ISSN 1866-3516 doi: 10.5194/essd-18-1379-2026

Panda, S. K., Jones, T. R. ORCID: https://orcid.org/0000-0002-7669-1499, Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860 and Ellis, A.-L. (2026) Physics-guided multi-task learning for subgrid scale turbulence parameterization: a comparative study of physics integration strategies. In: International Joint Conference on Neural Networks (IJCNN), SS03 Physics-Informed Neural Networks: Advancements and Applications, 21-26 June 2026, Maastricht, The Netherlands. (In Press)

Wen, M., Liu, X., Ning, X., Liu, C., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X, Nian, J. and Cheng, L. (2026) Deep reinforcement learning for energy-efficient workflow scheduling in edge computing. Computer Networks, 274. 111790. ISSN 1389-1286 doi: 10.1016/j.comnet.2025.111790

Wen, M., Ning, X., Pu, M., Liu, C., Wang, Q., Chen, X. ORCID: https://orcid.org/0000-0001-9267-355X and Cheng, L. (2026) Energy-efficient real-time workflow scheduling in edge–cloud environments based on multi-agent reinforcement learning. Applied Energy, 415. 127866. ISSN 1872-9118 doi: 10.1016/j.apenergy.2026.127866

Wohlleben, K., Hubner, M., Markchom, T. ORCID: https://orcid.org/0000-0002-2685-0738, Boyle, J. ORCID: https://orcid.org/0000-0002-5785-8046, Ferryman, J., Veigl, S., Opitz, A., Gkamaris, A. and Bratskas, R. (2026) Enhancing maritime situational awareness through multimodal fusion: insights from a real-world experiment. In: 17th Symposium Sensor Data Fusion: Trends, Solutions and Applications, 24-26 Nov 2025, Bonn, Germany. doi: 10.1109/SDF67080.2025.11331253

Yuan, S. ORCID: https://orcid.org/0009-0008-2792-9772, Mao, Y. ORCID: https://orcid.org/0009-0007-9967-6770, Tian, C., Yu, F., Guo, T. and Xia, M. ORCID: https://orcid.org/0000-0003-4681-9129 (2026) GSTAformer: graph-guided spatio-temporal autoformer for mid-term wind power forecasting. Energies, 19 (1). 254. ISSN 1996-1073 doi: 10.3390/en19010254

Zhang, Y. ORCID: https://orcid.org/0000-0003-3011-3113, Yuan, Z. ORCID: https://orcid.org/0009-0009-4323-7458, Badii, A., Wang, J. ORCID: https://orcid.org/0009-0005-0390-3859 and Li, P. (2026) TriPhysGAN-Attn: a physics-informed generative model for radar echo forecasting via triple mechanism decomposition and attention fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 19. pp. 1-20. ISSN 2151-1535 doi: 10.1109/jstars.2026.3658947