Zobrazeno 1 - 10
of 985
pro vyhledávání: '"Clément, N"'
Change point detection (CPD) has proved to be an effective tool for detecting drifts in data and its use over the years has become more pronounced due to the vast amount of data and IoT devices readily available. This study analyzes the effectiveness
Externí odkaz:
http://arxiv.org/abs/2407.09074
Autor:
Milcareck, G., Guerlet, S., Montmessin, F., Spiga, A., Leconte, J., Millour, E., Clément, N., Fletcher, L. N., Roman, M. T., Lellouch, E., Moreno, R., Cavalié, T., Carrión-González, Ó.
Publikováno v:
A&A 686, A303 (2024)
The observations made during the Voyager 2 flyby have shown that the stratosphere of Uranus and Neptune are warmer than expected by previous models. In addition, no seasonal variability of the thermal structure has been observed on Uranus since Voyag
Externí odkaz:
http://arxiv.org/abs/2403.13399
In South Africa, there is an ever-growing issue of vehicle hijackings. This leads to travellers constantly being in fear of becoming a victim to such an incident. This work presents a new semi-supervised approach to using tweets to identify hijacking
Externí odkaz:
http://arxiv.org/abs/2308.10036
Autor:
Louis, C. K., Louarn, P., Collet, B., Clément, N., Saati, S. Al, Szalay, J. R., Hue, V., Lamy, L., Kotsiaros, S., Kurth, W. S., Jackman, C. M., Wang, Y., Blanc, M., Allegrini, F., Connerney, J. E. P., Gershman, D.
At Jupiter, part of the auroral radio emissions are induced by the Galilean moons Io, Europa and Ganymede. Until now, except for Ganymede, they have been only remotely detected, using ground-based radio-telescopes or electric antennas aboard spacecra
Externí odkaz:
http://arxiv.org/abs/2308.05541
Vehicle hijacking is one of the leading crimes in many cities. For instance, in South Africa, drivers must constantly remain vigilant on the road in order to ensure that they do not become hijacking victims. This work is aimed at developing a map dep
Externí odkaz:
http://arxiv.org/abs/2208.10280
Publikováno v:
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022, pp. 1-6
In recent years, large scale data intensive astronomical surveys have resulted in more detailed images being produced than scientists can manually classify. Even attempts to crowd-source this work will soon be outpaced by the large amount of data gen
Externí odkaz:
http://arxiv.org/abs/2206.06165
Publikováno v:
In Additive Manufacturing 5 August 2024 93
Publikováno v:
In Acta Materialia 1 August 2024 274
The classification of galaxy morphology plays a crucial role in understanding galaxy formation and evolution. Traditionally, this process is done manually. The emergence of deep learning techniques has given room for the automation of this process. A
Externí odkaz:
http://arxiv.org/abs/2111.04353
Autor:
Nsojo, Anthony, George, Lutengano, Mwasomola, Davance, Tawete, Joseph, Mbotwa, Christopher H., Mweya, Clement N., Mwakyula, Issakwisa
Publikováno v:
In Infection Prevention in Practice June 2024 6(2)