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

D

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 1355-6037 doi: 10.1136/heartjnl-2024-325346

E

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

H

Higgs, I., Bannister, R. ORCID: https://orcid.org/0000-0002-6846-8297, Skákala, J., Carrassi, A. ORCID: https://orcid.org/0000-0003-0722-5600 and Ciavatta, S. (2026) Hybrid machine learning data assimilation for marine biogeochemistry. Biogeosciences, 23 (1). pp. 315-344. ISSN 1726-4170 doi: 10.5194/bg-23-315-2026

M

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 1530-437X doi: 10.1109/JSEN.2025.3649549

McGetrick, S., Lu, H., Muszynski, G., Martínez-Alvarado, O. ORCID: https://orcid.org/0000-0002-5285-0379, Osman, M., Mattingly, K. and Galea, D. (2026) A deep learning approach to detecting atmospheric rivers in the Arctic. Atmosphere, 17 (1). 61. ISSN 1598-3560 doi: 10.3390/atmos17010061

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

S

Sadiq, S. and Lester, M. ORCID: https://orcid.org/0000-0002-2323-1771 (2026) Fault robustness and lightweight error correction for low-precision posit neural networks in safety-critical systems. In: International Conference on Machine Learning and Applications (ICMLA), 2025-12-03 - 2025-12-05, Florida, USA. doi: 10.1109/ICMLA66185.2025.00009

Shahzad, M. ORCID: https://orcid.org/0009-0002-9394-343X, Ismail, M., Islam, M. J. u., Yumna, S., Irum, T., Malalai, K., Sara, I., Nabhani, Z. A. and Andrews, S. C. ORCID: https://orcid.org/0000-0003-4295-2686 (2026) The oral microbiome profile of Pakistani infants characterized by 16S rRNA amplicon sequencing. Data in Brief, 64. 112449. ISSN 2352-3409 doi: 10.1016/j.dib.2026.112449

T

Taylor, J., Pagel, C., Espuny-Pujol, F. ORCID: https://orcid.org/0000-0001-9085-7400 and Crowe, S. (2026) The road to hell winds on: the high administrative burden of maintaining linked national health data. International Journal of Population Data Science, 11 (1). ISSN 2399-4908 doi: 10.23889/ijpds.v11i1.3000

W

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

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, 2025-11-24 - 2025-11-26, Bonn, Germany. doi: 10.1109/SDF67080.2025.11331253

Z

Zhang, Y., Yuan, Z., Badii, A., Wang, J. 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 1939-1404 doi: 10.1109/jstars.2026.3658947