Zobrazeno 1 - 10
of 365
pro vyhledávání: '"Nawaz, Raheel"'
Autor:
Qasim, Shah Rukh, Chernyavskaya, Nadezda, Kieseler, Jan, Long, Kenneth, Viazlo, Oleksandr, Pierini, Maurizio, Nawaz, Raheel
Publikováno v:
Eur. Phys. J. C 82, 753 (2022)
We present an end-to-end reconstruction algorithm to build particle candidates from detector hits in next-generation granular calorimeters similar to that foreseen for the high-luminosity upgrade of the CMS detector. The algorithm exploits a distance
Externí odkaz:
http://arxiv.org/abs/2204.01681
Autor:
Bhattacharya, Saptaparna, Chernyavskaya, Nadezda, Ghosh, Saranya, Gray, Lindsey, Kieseler, Jan, Klijnsma, Thomas, Long, Kenneth, Nawaz, Raheel, Pedro, Kevin, Pierini, Maurizio, Pradhan, Gauri, Qasim, Shah Rukh, Viazlo, Oleksander, Zehetner, Philipp
We present the current stage of research progress towards a one-pass, completely Machine Learning (ML) based imaging calorimeter reconstruction. The model used is based on Graph Neural Networks (GNNs) and directly analyzes the hits in each HGCAL endc
Externí odkaz:
http://arxiv.org/abs/2203.01189
Publikováno v:
Transforming Government: People, Process and Policy, 2022, Vol. 17, Issue 3, pp. 372-386.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TG-07-2022-0105
Publikováno v:
In Computers and Electronics in Agriculture July 2024 222
The high-luminosity upgrade of the LHC will come with unprecedented physics and computing challenges. One of these challenges is the accurate reconstruction of particles in events with up to 200 simultaneous proton-proton interactions. The planned CM
Externí odkaz:
http://arxiv.org/abs/2106.01832
Autor:
Nawaz, Raheel, Gholampour, Behzad, Gholampour, Sajad, Elahi, Alireza, Sarwar, Raheem, Liu, Leo, Saboury, Ali Akbar, Noruzi, Alireza
Publikováno v:
Nawaz, Raheel and Gholampour, Behzad and Gholampour, Sajad and Elahi, Alireza and Sarwar, Raheem and Liu, Leo and Saboury, Ali Akbar and Noruzi, Alireza Analyzing the legacy and scientific impact of Saeed-Ul Hassan: A Pakistani scientometrician, data scientist and winner of the Eugene Garfield Award 2017 and 2022. Science & Technology Libraries, 2023, vol. 42, n. 4, pp. 428-440. [Journal article (Paginated)]
This study highlights the scientific legacy and impact of Dr Saeed-Ul Hassan’s research on the world of science. He was a remarkable researcher in the fields of scientometrics, altmetrics, artificial intelligence, and data science, as evidenced by
Externí odkaz:
http://eprints.rclis.org/45182/
Autor:
Khan, Wasiq, Hussain, Abir, Khan, Sohail Ahmed, Al-Jumailey, Mohammed, Nawaz, Raheel, Liatsis, Panos
Publikováno v:
Royal Society Open Science, 27 January 2021, Volume 8, Issue 1
Since the coronavirus disease (COVID-19) outbreak in December 2019, studies have been addressing diverse aspects in relation to COVID-19 and Variant of Concern 202012/01 (VOC 202012/01) such as potential symptoms and predictive tools. However, limite
Externí odkaz:
http://arxiv.org/abs/2009.12923
Autor:
Hassan, Saeed-Ul, Aljohani, Naif Radi, Tarar, Usman Iqbal, Safder, Iqra, Sarwar, Raheem, Alelyani, Salem, Nawaz, Raheel
This article aims to exploit social exchanges on scientific literature, specifically tweets, to analyse social media users' sentiments towards publications within a research field. First, we employ the SentiStrength tool, extended with newly created
Externí odkaz:
http://arxiv.org/abs/2008.13023