Zobrazeno 1 - 10
of 56 763
pro vyhledávání: '"Bull AS"'
Autor:
Clarkson, Daniel R., Bull, Lawrence A., Wickramarachchi, Chandula T., Cross, Elizabeth J., Rogers, Timothy J., Worden, Keith, Dervilis, Nikolaos, Hughes, Aidan J.
Regression is a fundamental prediction task common in data-centric engineering applications that involves learning mappings between continuous variables. In many engineering applications (e.g.\ structural health monitoring), feature-label pairs used
Externí odkaz:
http://arxiv.org/abs/2409.04328
Neural video compression has recently demonstrated significant potential to compete with conventional video codecs in terms of rate-quality performance. These learned video codecs are however associated with various issues related to decoding complex
Externí odkaz:
http://arxiv.org/abs/2409.00953
Autor:
Wentland, Christopher R., Weylandt, Michael, Swiler, Laura P., Ehrmann, Thomas S., Bull, Diana
Attribution of climate impacts to a source forcing is critical to understanding, communicating, and addressing the effects of human influence on the climate. While standard attribution methods, such as optimal fingerprinting, have been successfully a
Externí odkaz:
http://arxiv.org/abs/2409.01396
Autor:
Brealy, Simon M., Hughes, Aidan J., Dardeno, Tina A., Bull, Lawrence A., Mills, Robin S., Dervilis, Nikolaos, Worden, Keith
Population-based structural health monitoring (PBSHM), aims to share information between members of a population. An offshore wind (OW) farm could be considered as a population of nominally-identical wind-turbine structures. However, benign variation
Externí odkaz:
http://arxiv.org/abs/2408.16527
In recent years, user-generated content (UGC) has become one of the major video types consumed via streaming networks. Numerous research contributions have focused on assessing its visual quality through subjective tests and objective modeling. In mo
Externí odkaz:
http://arxiv.org/abs/2408.07171
Recent advances in video compression have seen significant coding performance improvements with the development of new standards and learning-based video codecs. However, most of these works focus on application scenarios that allow a certain amount
Externí odkaz:
http://arxiv.org/abs/2408.05042
We propose an approach for characterizing source-impact pathways, the interactions of a set of variables in space-time due to an external forcing, in climate models using in-situ analyses that circumvent computationally expensive read/write operation
Externí odkaz:
http://arxiv.org/abs/2408.04099
Deep learning is now playing an important role in enhancing the performance of conventional hybrid video codecs. These learning-based methods typically require diverse and representative training material for optimization in order to achieve model ge
Externí odkaz:
http://arxiv.org/abs/2408.03265
Autor:
MeerKLASS Collaboration, Barberi-Squarotti, Matilde, Bernal, José L., Bull, Philip, Camera, Stefano, Carucci, Isabella P., Chen, Zhaoting, Cunnington, Steven, Engelbrecht, Brandon N., Fonseca, José, Grainge, Keith, Irfan, Melis O., Li, Yichao, Mazumder, Aishrila, Paul, Sourabh, Pourtsidou, Alkistis, Santos, Mario G., Spinelli, Marta, Wang, Jingying, Witzemann, Amadeus, Wolz, Laura
We present results from MeerKAT single-dish HI intensity maps, the final observations to be performed in L-band in the MeerKAT Large Area Synoptic Survey (MeerKLASS) campaign. The observations represent the deepest single-dish HI intensity maps to da
Externí odkaz:
http://arxiv.org/abs/2407.21626
Autor:
Charles, N., Kern, N. S., Pascua, R., Bernardi, G., Bester, L., Smirnov, O., Acedo, E. d. L., Abdurashidova, Z., Adams, T., Aguirre, J. E., Baartman, R., Beardsley, A. P., Berkhout, L. M., Billings, T. S., Bowman, J. D., Bull, P., Burba, J., Byrne, R., Carey, S., Chen, K., Choudhuri, S., Cox, T., DeBoer, D. R., Dexter, M., Dillon, J. S., Dynes, S., Eksteen, N., Ely, J., Ewall-Wice, A., Fritz, R., Furlanetto, S. R., Gale-Sides, K., Garsden, H., Gehlot, B. K., Ghosh, A., Gorce, A., Gorthi, D., Halday, Z., Hazelton, B. J., Hewitt, J. N., Hickish, J., Huang, T., Jacobs, D. C., Josaitis, A., Kerrigan, J., Kittiwisit, P., Kolopanis, M., Lanman, A., Liu, A., Ma, Y. -Z., MacMahon, D. H. E., Malan, L., Malgas, K., Malgas, C., Marero, B., Martinot, Z. E., McBride, L., Mesinger, A., Mohamed-Hinds, N., Molewa, M., Morales, M. F., Murray, S., Nikolic, B., Nuwegeld, H., Parsons, A. R., Patra, N., Plante, P. L., Qin, Y., Rath, E., Razavi-Ghods, N., Riley, D., Robnett, J., Rosie, K., Santos, M. G., Sims, P., Singh, S., Storer, D., Swarts, H., Tan, J., Wilensky, M. J., Williams, P. K. G., Wyngaarden, P. v., Zheng, H.
The 21 cm transition from neutral Hydrogen promises to be the best observational probe of the Epoch of Reionisation (EoR). This has led to the construction of low-frequency radio interferometric arrays, such as the Hydrogen Epoch of Reionization Arra
Externí odkaz:
http://arxiv.org/abs/2407.20923