Murat Simsek
Orcid: 0000-0002-8648-3693
According to our database1,
Murat Simsek
authored at least 63 papers
between 2009 and 2024.
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Bibliography
2024
CoRR, 2024
2023
Knowl. Based Syst., December, 2023
Utility-Aware Legitimacy Detection of Mobile Crowdsensing Tasks via Knowledge-Based Self Organizing Feature Map.
IEEE Trans. Mob. Comput., June, 2023
Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats.
ACM Comput. Surv., 2023
Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images.
CoRR, 2023
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier.
CoRR, 2023
AI-enabled cluster head selection through modified density based clustering in Aeronautical Ad Hoc Networks.
Ad Hoc Networks, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Anomalous Behaviour Detection via Event-Based Metric with Sequential Tracking in a V2X Environment.
Proceedings of the IEEE Global Communications Conference, 2023
Multidomain transformer-based deep learning for early detection of network intrusion.
Proceedings of the IEEE Global Communications Conference, 2023
2022
SCVIC-CIDS-2022: Bridging Networks and Hosts via Machine Learning-Based Intrusion Detection.
Dataset, September, 2022
SCVIC-CIDS-2021: Collaborative Feature Maps of Networks and Hosts for Intrusion Detection.
Dataset, August, 2022
Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
TableDet: An end-to-end deep learning approach for table detection and table image classification in data sheet images.
Neurocomputing, 2022
Neurocomputing, 2022
IEEE Netw. Lett., 2022
Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing.
Proceedings of the IEEE International Conference on Communications, 2022
Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach.
Proceedings of the IEEE Global Communications Conference, 2022
Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition.
Proceedings of the IEEE Global Communications Conference, 2022
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark.
Proceedings of the IEEE Global Communications Conference, 2022
Proceedings of the IEEE Global Communications Conference, 2022
2021
Performance evaluation of pan-sharpening and dictionary learning methods for sparse representation of hyperspectral super-resolution.
Signal Image Video Process., 2021
AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy.
Pervasive Mob. Comput., 2021
Empowering Self-Organized Feature Maps for AI-Enabled Modeling of Fake Task Submissions to Mobile Crowdsensing Platforms.
IEEE Internet Things J., 2021
Neurocomputing, 2021
Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms.
CoRR, 2021
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data.
Proceedings of the ICC 2021, 2021
Federated Learning-Based Risk-Aware Decision to Mitigate Fake Task Impacts on Crowdsensing Platforms.
Proceedings of the ICC 2021, 2021
All Predict Wisest Decides: A Novel Ensemble Method to Detect Intrusive Traffic in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2021
Proceedings of the 2021 IEEE International Black Sea Conference on Communications and Networking, 2021
2020
IEEE Veh. Technol. Mag., 2020
Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing.
Internet Things, 2020
Holistic design for deep learning-based discovery of tabular structures in datasheet images.
Eng. Appl. Artif. Intell., 2020
Proceedings of the 8th IEEE International Conference on Mobile Cloud Computing, 2020
Knowledge-Based Machine Learning Boosting for Adversarial Task Detection in Mobile Crowdsensing.
Proceedings of the IEEE Symposium on Computers and Communications, 2020
Proceedings of the IEEE Symposium on Computers and Communications, 2020
Ensemble Learning Against Adversarial AI-driven Fake Task Submission in Mobile Crowdsensing.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Deep Belief Network-based Fake Task Mitigation for Mobile Crowdsensing under Data Scarcity.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Self Organizing Feature Map-Integrated Knowledge-Based Deep Network Against Fake Crowdsensing Tasks.
Proceedings of the IEEE Global Communications Conference, 2020
Region-Aware Bagging and Deep Learning-Based Fake Task Detection in Mobile Crowdsensing Platforms.
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020
Cost-aware Data Aggregation and Energy Decentralization with Electrical Vehicles in Microgrids through LTE Links.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2020
Proceedings of the Connected Health in Smart Cities, 2020
2019
Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing.
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019
Trustworthiness and Comfort-Aware Participant Recruitment for Mobile Crowd-Sensing in Smart Environments.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Bridging Connected Vehicles with Artificial Intelligence for Smart First Responder Services.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
2018
Wide area scanning Trap Camera System with multi-cameras and distinctive motion detection sensor.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018
2016
Sparse representation-based dictionary learning methods for hyperspectral super-resolution.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016
Eine Tcl-basierte Methode zur Fehlerinjektion und Fehlereffektsimulation/-emulation auf Xilinx-FPGAs.
Proceedings of the 19th GI/ITG/GMM Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen, 2016
2015
The effect of dictionary learning algorithms on super-resolution hyperspectral reconstruction.
Proceedings of the XXV International Conference on Information, 2015
2011
Int. J. Math. Model. Numer. Optimisation, 2011
Proceedings of the 20th European Conference on Circuit Theory and Design, 2011
2010
Proceedings of the International Conference on Computational Science, 2010
2009
An efficient inverse ANN modeling approach using prior knowledge input with difference method.
Proceedings of the 19th European Conference on Circuit Theory and Design, 2009