Murat Simsek
Murat Simsek
Senior Research Associate, The School of Electrical Engineering and Computer Science, University of
Verified email at - Homepage
Cited by
Cited by
Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Z Chen, J Liu, Y Shen, M Simsek, B Kantarci, HT Mouftah, P Djukic
ACM Computing Surveys 55 (5), 1-37, 2022
Artificial intelligence-empowered mobilization of assessments in COVID-19-like pandemics: a case study for early flattening of the curve
M Simsek, B Kantarci
International Journal of Environmental Research and Public Health 17 (10), 3437, 2020
A knowledge‐based neuromodeling using space mapping technique: compound space mapping‐based neuromodeling
M Simsek, N Serap Sengor
International Journal of Numerical Modelling: Electronic Networks, Devices …, 2008
TableDet: An end-to-end deep learning approach for table detection and table image classification in data sheet images
J Fernandes, M Simsek, B Kantarci, S Khan
Neurocomputing 468, 317-334, 2022
Holistic design for deep learning-based discovery of tabular structures in datasheet images
E Kara, M Traquair, M Simsek, B Kantarci, S Khan
Engineering Applications of Artificial Intelligence 90, 103551, 2020
Self organizing feature map for fake task attack modelling in mobile crowdsensing
Y Zhang, M Simsek, B Kantarci
2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019
Empowering self-organized feature maps for AI-enabled modeling of fake task submissions to mobile crowdsensing platforms
Y Zhang, M Simsek, B Kantarci
IEEE Internet of Things Journal 8 (3), 1334-1346, 2020
Deep learning-based detection of fake task injection in mobile crowdsensing
A Sood, M Simsek, Y Zhang, B Kantarci
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy
M Simsek, A Boukerche, B Kantarci, S Khan
Pervasive and Mobile Computing 75, 101426, 2021
Machine learning-based prevention of battery-oriented illegitimate task injection in mobile crowdsensing
Y Zhang, M Simsek, B Kantarci
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 31-36, 2019
Multifunctional electroactive electrospun nanofiber structures from water solution blends of PVA/ODA–MMT and poly (maleic acid-alt-acrylic acid): effects of Ag, organoclay …
M Şimşek, ZMO Rzayev, U Bunyatova
Advances in natural sciences: nanoscience and nanotechnology 7 (2), 025009, 2016
The reconstruction of shape and impedance exploiting space mapping with inverse difference method
M Simsek, NS Tezel
IEEE transactions on antennas and propagation 60 (4), 1868-1877, 2012
The recent developments in microwave design
M Simsek, QJ Zhang, H Kabir, Y Cao, NS Sengor
International Journal of Mathematical Modelling and Numerical Optimisation 2 …, 2011
An efficient inverse ANN modeling approach using prior knowledge input with difference method
M Simsek, NS Sengor
2009 European Conference on Circuit Theory and Design, 323-326, 2009
Locally reconfigurable self organizing feature map for high impact malicious tasks submission in mobile crowdsensing
X Chen, M Simsek, B Kantarci
Internet of Things 12, 100297, 2020
Tabcellnet: Deep learning-based tabular cell structure detection
JC Jiang, M Simsek, B Kantarci, S Khan
Neurocomputing 440, 12-23, 2021
Detecting fake mobile crowdsensing tasks: Ensemble methods under limited data
M Simsek, B Kantarci, Y Zhang
IEEE Vehicular Technology Magazine 15 (3), 86-94, 2020
Knowledge based response correction method for design of reconfigurable N‐shaped microstrip patch antenna using inverse ANNs
A Aoad, M Simsek, Z Aydin
International journal of numerical modelling: electronic networks, devices …, 2017
The recent developments in knowledge based neural modeling
M Simsek, QJ Zhang, H Kabir, Y Cao, NS Sengor
Procedia Computer Science 1 (1), 1321-1330, 2010
Attention-based event characterization for scarce vehicular sensing data
N Taherifard, M Simsek, C Lascelles, B Kantarci
IEEE Open Journal of Vehicular Technology 1, 317-330, 2020
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