Jamming bandits—A novel learning method for optimal jamming
Can an intelligent jammer learn and adapt to unknown environments in an electronic
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
Streaming data fusion for the internet of things
To achieve the full analytical potential of the streaming data from the internet of things, the
interconnection of various data sources is needed. By definition, those sources are …
interconnection of various data sources is needed. By definition, those sources are …
Online learning model for handling different concept drifts using diverse ensemble classifiers on evolving data streams
The rapid growth of the information technology accelerates organizations to generate vast
volumes of high-velocity data streams. The concept drift is a crucial issue, and discovering …
volumes of high-velocity data streams. The concept drift is a crucial issue, and discovering …
A systematic learning method for optimal jamming
Can an intelligent jammer learn and adapt to unknown environments in an electronic
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
Blind network interdiction strategies—A learning approach
SD Amuru, RM Buehrer… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Network interdiction refers to disrupting a network in an attempt to either analyze the
network's vulnerabilities or to undermine a network's communication capabilities. A vast …
network's vulnerabilities or to undermine a network's communication capabilities. A vast …
Beam Learning--Using Machine Learning for Finding Beam Directions
S Amuru - arXiv preprint arXiv:1906.04368, 2019 - arxiv.org
Beamforming is the key enabler for wireless communications in the mmWave bands. 802.11
ad and WiGig are wireless technologies that currently use the 60 GHz unlicensed mmWave …
ad and WiGig are wireless technologies that currently use the 60 GHz unlicensed mmWave …
Adaptive sequential optimization with applications to machine learning
C Wilson, VV Veeravalli - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
A framework is introduced for solving a sequence of slowly changing optimization problems,
including those arising in regression and classification applications, using optimization …
including those arising in regression and classification applications, using optimization …
A computational approach for modelling context across different application domains
A Lincke - 2020 - diva-portal.org
Application Domains:, Linnaeus University Dissertations No 382/2020, ISBN: 978-91-89081-
52-9 (print), 978-91-89081-53-6 (pdf). Nowadays, people use a wide range of devices (eg …
52-9 (print), 978-91-89081-53-6 (pdf). Nowadays, people use a wide range of devices (eg …
Jamming bandits
SD Amuru, C Tekin, M van der Schaar… - arXiv preprint arXiv …, 2014 - arxiv.org
Can an intelligent jammer learn and adapt to unknown environments in an electronic
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
warfare-type scenario? In this paper, we answer this question in the positive, by developing …
A research review on approaches/techniques used in big data environment
Big data has shown the great potential in optimizing data, making decisions, spotting
business trends in various fields such as manufacturing, finance and Information …
business trends in various fields such as manufacturing, finance and Information …