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20042026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

Showing 2019Show all

7 papers · 1 filter

cs.NI2019

Analysis of AeroMACS Data Link for Unmanned Aircraft Vehicles

Maede Zolanvari, Marcio A. Teixeira, Raj Jain

Aeronautical Mobile Airport Communications System (AeroMACS) is based on the IEEE 802.16e mobile wireless standard commonly known as WiMAX. It is expected to be the main part of th…

cs.CR2019★ 1 cited

Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning

Maede Zolanvari, Marcio A. Teixeira, Raj Jain

Machine learning algorithms have been shown to be suitable for securing platforms for IT systems. However, due to the fundamental differences between the industrial internet of thi…

cs.CR2019

Machine Learning Based Network Vulnerability Analysis of Industrial Internet of Things

Maede Zolanvari, Marcio A. Teixeira, Lav Gupta +2

It is critical to secure the Industrial Internet of Things (IIoT) devices because of potentially devastating consequences in case of an attack. Machine learning and big data analyt…

physics.ao-ph2019★ 12 cited

Methodology to estimate ionospheric scintillation risk maps and their contribution to position dilution of precision on the ground

Alexandra Koulouri, Nathan D. Smith, Bruno C. Vani +3

Satellite-based communications, navigation systems and many scientific instruments rely on observations of trans-ionospheric signals. The quality of these signals can be deteriorat…

physics.comp-ph2019★ 7 cited

Wavelet-based parallel dynamic mesh adaptation for magnetohydrodynamics in the AMROC framework

Margarete Oliveira Domingues, Ralf Deiterding, Muller Moreira Lopes +3

Computational magnetohydrodynamics (MHD) for space physics has become an essential area in understanding the multiscale dynamics of geophysical and astrophysical plasma processes,…

nucl-th2019★ 25 cited

-cluster structure above double-shell closures and -decay of Te

M. A. Souza, H. Miyake, T. Borello-Lewin +2

An analysis of the + core properties of Te along with a global discussion on the -cluster structure above the double-shell closures is presented from the viewpoint o…

cs.NI2019★ 178 cited

SCADA System Testbed for Cybersecurity Research Using Machine Learning Approach

Marcio Andrey Teixeira, Tara Salman, Maede Zolanvari +3

This paper presents the development of a Supervisory Control and Data Acquisition (SCADA) system testbed used for cybersecurity research. The testbed consists of a water storage ta…