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[1]
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Understanding Autism Using Machine Learning: A Structural MRI Study
2022 26th International Conference on Pattern Recognition (ICPR),
2022
DOI:10.1109/ICPR56361.2022.9956177
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[2]
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Localization for Intelligent Systems Using Unsupervised Learning and Prediction Approaches
IEEE Canadian Journal of Electrical and Computer Engineering,
2021
DOI:10.1109/ICJECE.2021.3062971
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[3]
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On IoT Edge Devices: Manifold Unsupervised Learning for SoM Platforms
2021 IEEE International Conference on Imaging Systems and Techniques (IST),
2021
DOI:10.1109/IST50367.2021.9651345
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[4]
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Resource Allocation in CAT-M and LTE-A Coexistence: A Joint Contention Bandwidth Optimization Scheme
2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE),
2020
DOI:10.1109/CCECE47787.2020.9255823
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[5]
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Navigation and Obstacle Avoidance System in Unknown Environment
2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE),
2020
DOI:10.1109/CCECE47787.2020.9255754
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[6]
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Supervised Learning for Physical Layer Based Message Authentication in URLLC Scenarios
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall),
2019
DOI:10.1109/VTCFall.2019.8891424
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[7]
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Physical Layer Authentication for Mission Critical Machine Type Communication Using Gaussian Mixture Model Based Clustering
2017 IEEE 85th Vehicular Technology Conference (VTC Spring),
2017
DOI:10.1109/VTCSpring.2017.8108527
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[8]
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Providing Physical Layer Security for Mission Critical Machine Type Communication
2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA),
2016
DOI:10.1109/ETFA.2016.7733691
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[9]
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A physical-layer authentication scheme based on hash method
2015 IEEE/CIC International Conference on Communications in China - Workshops (CIC/ICCC),
2015
DOI:10.1109/ICCChinaW.2015.7961588
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