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A Review on Parameters that Impact IoT Application—An Experimental Evaluation
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… Systems, Machine Learning and Internet of Things,
2023 |
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[2]
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Nonlinear Channel Estimation based on Robust Distributed Hammerstein Spline Adaptive Technique in Wireless Sensor Network
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Digital Signal Processing,
2022 |
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[3]
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Deep Learning Approaches for Impulse Noise Mitigation and Classification in NOMA-Based Systems
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IEEE Access,
2021 |
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[4]
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Implementation of Artificial Intelligence Techniques to Mitigate Background and Impulsive Noise in PLC Channels
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2020 |
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[5]
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Performance of Orthogonal Beamforming with NOMA for Smart Grid Communication in the Presence of Impulsive Noise
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2020 |
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[6]
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Detection and Reduction of Impulsive Noise in OFDM Using Machine Learning Techniques
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2019 |
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[7]
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Performance analysis of segmentation based image noise removal technique
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2019 |
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[8]
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Robust wireless sensor network for smart grid communication: modeling and performance evaluation
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2019 |
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OFDM high speed train communication systems in 5G cellular networks
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2018 |
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[10]
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Zahraa Ch. Oleiwi
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2018 |
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[11]
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Using OFB and LDPC Coding to Decrease MSE Produced by Gaussian and Impulse Noise
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2018 |
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[12]
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Impact of Poisson parameter of Impulsive Multiplicative Noise on Impairment of Single-tone Sinusoid Signals
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2017 |
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[13]
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Instantaneous Frequency Estimation of FM Signals under Multiplicative Noise
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2017 |
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Performance of smart grid communication in the presence of impulsive noise
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2016 |
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WiMAX for Smart Grid Applications and the Influence of Impulsive Noise
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2015 |
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[16]
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Recent trend in wireless sensor network and its applications: a survey
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Sensor Review,
2015 |
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[17]
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Signal and Data Processing Techniques for Industrial Cyber-Physical Systems
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Cyber Physical Systems: From Theory to Practice, CRC Press,
2015 |
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[18]
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Performance analysis of DF cooperative relaying over bursty impulsive noise channel
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2015 IEEE International Conference on Smart Grid Communications (SmartGridComm),
2015 |
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[19]
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Performance Analysis of Turbo-Coded Decode-and-Forward Relay Channels with Middleton Class-A Impulsive Noise
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2015 |
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[20]
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Cyber-physical systems: from theory to practice
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2015 |
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[21]
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VIDEO BACKGROUND MODELING UNDER IMPULSE NOISE
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IEEE International Conference on Image Processing (ICIP), (Paris, France),
2014 |
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[1]
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Deep Learning Approaches for Impulse Noise Mitigation and Classification in NOMA-Based Systems
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3121533
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[2]
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Performance of Orthogonal Beamforming with NOMA for Smart Grid Communication in the Presence of Impulsive Noise
Arabian Journal for Science and Engineering,
2020
DOI:10.1007/s13369-020-04457-y
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[3]
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Using OFB and LDPC Coding to Decrease MSE Produced by Gaussian and Impulse Noise
2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS),
2018
DOI:10.1109/MWSCAS.2018.8624047
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[4]
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Performance Analysis of DF Cooperative Relaying Over Bursty Impulsive Noise Channel
IEEE Transactions on Communications,
2016
DOI:10.1109/TCOMM.2016.2574847
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[5]
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Recent trend in wireless sensor network and its applications: a survey
Sensor Review,
2015
DOI:10.1108/SR-08-2014-683
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[6]
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Cyber-Physical Systems
2015
DOI:10.1201/b19290-12
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[7]
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Video background modeling under impulse noise
2014 IEEE International Conference on Image Processing (ICIP),
2014
DOI:10.1109/ICIP.2014.7025207
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