Results 91 to 100 of about 264,767 (378)

Deep Learning for Launching and Mitigating Wireless Jamming Attacks [PDF]

open access: yesIEEE Transactions on Cognitive Communications and Networking, 2018
An adversarial machine learning approach is introduced to launch jamming attacks on wireless communications and a defense strategy is presented. A cognitive transmitter uses a pre-trained classifier to predict the current channel status based on recent ...
T. Erpek, Y. Sagduyu, Yi Shi
semanticscholar   +1 more source

Secure Communication Over Interference Channel: To Jam or not to Jam? [PDF]

open access: yesIEEE Transactions on Information Theory, 2018
This work was presented in part at the 54th Annual Allerton Conference on Communication, Control, and Computing, 2016 and the 56th Annual Allerton Conference on Communication, Control, and Computing, 2018.
openaire   +4 more sources

Quasi-Coherent Noise Jamming to LFM Radar Based on Pseudo-random Sequence Phase-modulation [PDF]

open access: yesRadioengineering, 2015
A novel quasi-coherent noise jamming method is proposed against linear frequency modulation (LFM) signal and pulse compression radar. Based on the structure of digital radio frequency memory (DRFM), the jamming signal is acquired by the pseudo-random ...
N. Tai, Y. J. Pan, N. C. Yuan
doaj  

On the Study of Jamming Percolation [PDF]

open access: yesJournal of Statistical Physics, 2008
13 pages, 18 figures; Spiral model does satisfy property ...
Jennifer Schwarz, Monwhea Jeng
openaire   +3 more sources

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós   +11 more
wiley   +1 more source

A jamming transition from under- to over-parametrization affects generalization in deep learning [PDF]

open access: yesJournal of Physics A: Mathematical and Theoretical, 2018
In this paper we first recall the recent result that in deep networks a phase transition, analogous to the jamming transition of granular media, delimits the over- and under-parametrized regimes where fitting can or cannot be achieved.
S. Spigler   +5 more
semanticscholar   +1 more source

Emergent traffic jams

open access: yesPhysical Review E, 1995
We study a single-lane traffic model that is based on human driving behavior. The outflow from a traffic jam self-organizes to a critical state of maximum throughput. Small perturbations of the outflow far downstream create emergent traffic jams with a power law distribution $P(t) \sim t^{-3/2}$ of lifetimes, $t$.
Kai Nagel   +3 more
openaire   +4 more sources

Does dose calculation algorithm affect the dosimetric accuracy of synthetic CT for MR‐only radiotherapy planning in brain tumors?

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study compares the dosimetric accuracy of deep‐learning‐based MR synthetic CT (sCT) in brain radiotherapy between the Analytical Anisotropic Algorithm (AAA) and AcurosXB (AXB). Additionally, it proposes a novel metric to predict the dosimetric accuracy of sCT for individual post‐surgical brain cases.
Jeffrey C. F. Lui   +3 more
wiley   +1 more source

Assessment of a medical physics educational program for science teachers

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Medical physics is a fulfilling profession where physics is applied to advance human health. However, many are uninformed of the role of physicists in medicine, and students are unaware of this career pathway. This study presents a pilot 1‐year program for science teachers to learn about physics in medicine and share with students
Ashley J. Cetnar   +2 more
wiley   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien   +8 more
wiley   +1 more source

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