Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Angelopoulos, Angelos"'
Autor:
Kandel, Jade, Duppen, Chelsea, Zhang, Qian, Jiang, Howard, Angelopoulos, Angelos, Neall, Ashley, Wagh, Pranav, Szafir, Daniel, Fuchs, Henry, Lewek, Michael, Szafir, Danielle Albers
People with Parkinson's Disease (PD) can slow the progression of their symptoms with physical therapy. However, clinicians lack insight into patients' motor function during daily life, preventing them from tailoring treatment protocols to patient nee
Externí odkaz:
http://arxiv.org/abs/2404.10661
Autor:
Chrisochoides, Nikos, Fedorov, Andriy, Drakopoulos, Fotis, Kot, Andriy, Liu, Yixun, Foteinos, Panos, Angelopoulos, Angelos, Clatz, Olivier, Ayache, Nicholas, Black, Peter M., Golby, Alex J., Kikinis, Ron
During neurosurgery, medical images of the brain are used to locate tumors and critical structures, but brain tissue shifts make pre-operative images unreliable for accurate removal of tumors. Intra-operative imaging can track these deformations but
Externí odkaz:
http://arxiv.org/abs/2308.10868
In this article, we present the results of using Convolutional Auto-Encoders for de-noising raw data for CLAS12 drift chambers. The de-noising neural network provides increased efficiency in track reconstruction and also improved performance for high
Externí odkaz:
http://arxiv.org/abs/2205.02616
Autor:
Gavalian, Gagik, Thomadakis, Polykarpos, Angelopoulos, Angelos, Chrisochoides, Nikos, De Vita, Raffaella, Ziegler, Veronique
In this article we describe the implementation of Artificial Intelligence models in track reconstruction software for the CLAS12 detector at Jefferson Lab. The Artificial Intelligence based approach resulted in improved track reconstruction efficienc
Externí odkaz:
http://arxiv.org/abs/2202.06869
Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively tests track measurements ("hits") to identify those that form an actual
Externí odkaz:
http://arxiv.org/abs/2008.12860
Publikováno v:
EPJ Web of Conferences, Vol 295, p 09038 (2024)
In this paper, we present the results of charged particle track reconstruction in CLAS12 using artificial intelligence. In our approach, we use neural networks working together to identify tracks based on the raw signals in the Drift Chambers. A Conv
Externí odkaz:
https://doaj.org/article/7cba0bfebc944e73a39b02ee3bccee8f
Autor:
Angelopoulos, Angelos, Economides, George, Liontos, George, Philippopoulos, Apostolis, Sakkas, Stelios
Publikováno v:
In The Journal of Economic Asymmetries November 2022 26
Autor:
Angelopoulos, Angelos
We consider a pure exchange economy with asymmetric information where individual behavior exhibits ambiguity aversion along the line of maximin expected utility decision making. For such economies we introduce different notions of maximin value alloc
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764339
Publikováno v:
In Computer Physics Communications July 2022 276
Publikováno v:
In Computer Physics Communications February 2022 271