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Feel-Phy: An Intelligent Web-Based Physics QA System

2016
Feel-Phy is a computerized and unmanned question answering system which is able to solve open-ended Physics problems, providing adaptive guidance and retrieve relevant resources to user inputs. Latent Semantic Indexing (LSI) is employed to process the user inputs and retrieve relevant references.
Kwong Seng Fong   +3 more
openaire   +1 more source

PHY-CRAM: Physical Layer Challenge-Response Authentication Mechanism for Wireless Networks

IEEE Journal on Selected Areas in Communications, 2013
Exploiting the unique properties of the physical layer to enhance or complement authentication strength in wireless networks has attracted a lot of research attention recently. In this paper, we propose a novel PHYsical layer Challenge-Response Authentication Mechanism (PHY-CRAM) for wireless networks.
Dan Shan   +4 more
openaire   +1 more source

10G | 5G | 2.5G | 1G | 100M physical layer PHY: HOT CHIPS 2015 conference

2015 IEEE Hot Chips 27 Symposium (HCS), 2015
This article consists of a collection of slides from the authors' conference presentation. The ever growing data requirements in the cloud and mobility are creating a bandwidth constraint in global IT infrastructure. In 2012, Aquantia focused on adding 2.5G/5G speeds on Cat5e/Cat6 Links to address the next generation wireless access bottleneck ...
Ramin Shirani, Ramin Farjad-Rad
openaire   +1 more source

Phy-cast as physics learning media to facilitate independent physics learning based on Android apps

AIP Conference Proceedings, 2023
Anggi Datiatur Rahmat   +3 more
openaire   +1 more source

Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing

IEEE Transactions on Neural Networks and Learning Systems
Purely data-driven deep neural networks (DNNs) applied to physical engineering systems can infer relations that violate physics laws, thus leading to unexpected consequences. To address this challenge, we propose a physics-knowledge-enhanced DNN framework called Phy-Taylor, accelerating learning-compliant representations with physics knowledge. The Phy-
Yanbing Mao   +5 more
openaire   +2 more sources

Les Houches 2011: Physics at TeV Colliders New Phys

2012
We present the activities of the "New Physics" working group for the "Physics at TeV Colliders" workshop (Les Houches, France, 30 May-17 June, 2011). Our report includes new agreements on formats for interfaces between computational tools, new tool developments, important signatures for searches at the LHC, recommendations for presentation of LHC ...
G. Brooijmans   +62 more
openaire   +1 more source

Comment “On the physics of Landau damping” [Phys. Plasmas 6, 2976 (1999)]

Physics of Plasmas, 2000
“Resonant diffusion” rather than “thermal spread” [Stubbe and Sukhorukov, Phys. Plasmas 6, 2976 (1999)] correctly describes the physics of Landau damping.
openaire   +1 more source

Physical Chemistry and Chemical Physics of Energy Materials (Phys. Status Solidi A 9∕2014)

physica status solidi (a), 2014
Thomas Mayer   +2 more
openaire   +1 more source

New horizons for fundamental physics with LISA

Living Reviews in Relativity, 2022
K g Arun   +2 more
exaly  

Machine learning in the search for new fundamental physics

Nature Reviews Physics, 2022
Georgia Karagiorgi   +2 more
exaly  

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