Zobrazeno 1 - 10
of 1 680
pro vyhledávání: '"Smith Daniel J"'
Autor:
Cornish, Thomas M., Wardlow, Julie L., Greve, Thomas R., Chapman, Scott, Chen, Chian-Chou, Dannerbauer, Helmut, Goto, Tomotsugu, Gullberg, Bitten, Ho, Luis C., Jiang, Xue-Jian, Lagos, Claudia, Lee, Minju, Serjeant, Stephen, Shim, Hyunjin, Smith, Daniel J. B., Vijayan, Aswin, Wagg, Jeff, Zhou, Dazhi
Publikováno v:
Monthly Notices of the Royal Astronomical Society, Vol. 533, Issue 1 (2024) pp. 1032-1044
Measuring the environments of massive galaxies at high redshift is crucial to understanding galaxy evolution and the conditions that gave rise to the distribution of matter we see in the Universe today. While high-$z$ radio galaxies (H$z$RGs) and qua
Externí odkaz:
http://arxiv.org/abs/2407.21099
Autor:
Das, Soumyadeep, Smith, Daniel J. B., Haskell, Paul, Hardcastle, Martin J., Best, Philip N., Duncan, Kenneth J., Arnaudova, Marina I., Shenoy, Shravya, Kondapally, Rohit, Cochrane, Rachel K., Drake, Alyssa B., Gürkan, Gülay, Małek, Katarzyna, Morabito, Leah K., Prandoni, Isabella
Spectral energy distribution (SED) fitting has been extensively used to determine the nature of the faint radio source population. Recent efforts have combined fits from multiple SED-fitting codes to account for the host galaxy and any active nucleus
Externí odkaz:
http://arxiv.org/abs/2405.01624
This paper presents a physics-informed neural network (PINN) approach for monitoring the health of diesel engines. The aim is to evaluate the engine dynamics, identify unknown parameters in a "mean value" model, and anticipate maintenance requirement
Externí odkaz:
http://arxiv.org/abs/2304.13799
Publikováno v:
Applied Intelligence, 2023
We develop a data-driven deep neural operator framework to approximate multiple output states for a diesel engine and generate real-time predictions with reasonable accuracy. As emission norms become more stringent, the need for fast and accurate mod
Externí odkaz:
http://arxiv.org/abs/2304.00567
Autor:
Alegre, Lara, Sabater, Jose, Best, Philip, Mostert, Rafaël I. J., Williams, Wendy L., Gürkan, Gülay, Hardcastle, Martin J., Kondapally, Rohit, Shimwell, Tim W., Smith, Daniel J. B.
New-generation radio telescopes like LOFAR are conducting extensive sky surveys, detecting millions of sources. To maximise the scientific value of these surveys, radio source components must be properly associated into physical sources before being
Externí odkaz:
http://arxiv.org/abs/2207.01645
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part B
Autor:
Tofigh, Mohamadali, Salehi, Zeynab, Kharazmi, Ali, Smith, Daniel J., Hanifi, Amir Reza, Koch, Charles Robert, Shahbakhti, Mahdi
Publikováno v:
In Journal of Power Sources 30 June 2024 606
Autor:
Zhu, Ren-Zhi, Smith, Daniel J., Wang, Fangyue, Qin, Jiang-Feng, Zhang, Chao, Zhao, Shaowei, Liu, Min, Zhang, Fangyi, Zhu, Yu, Lai, Shao-Cong
Publikováno v:
In Chemical Geology 5 April 2024 650
Autor:
Mahatma, Vijay H., Hardcastle, Martin J., Harwood, Jeremy, O'Sullivan, Shane P., Heald, George, Horellou, Cathy, Smith, Daniel J. B.
Radio galaxies are linearly polarized -- an important property that allows us to infer the properties of the magnetic field of the source and its environment. However at low frequencies, Faraday rotation substantially depolarizes the emission, meanin
Externí odkaz:
http://arxiv.org/abs/2012.11990
Autor:
Patel, Ketan1 (AUTHOR) Ketan.patel1@nhs.net, Smith, Daniel J.2 (AUTHOR), Huntley, Christopher C.1 (AUTHOR), Channa, Sunita D.3 (AUTHOR), Pye, Anita3 (AUTHOR), Dickens, Andrew P.4 (AUTHOR), Gale, Nicola5 (AUTHOR), Turner, Alice M.3 (AUTHOR)
Publikováno v:
PLoS ONE. 3/6/2024, Vol. 19 Issue 3, p1-12. 12p.