{"id":44,"date":"2025-07-24T23:52:28","date_gmt":"2025-07-25T04:52:28","guid":{"rendered":"https:\/\/research.ece.ncsu.edu\/impress\/?page_id=44"},"modified":"2026-08-02T20:19:25","modified_gmt":"2026-08-03T01:19:25","slug":"journals","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/impress\/publications\/journals\/","title":{"rendered":"Journal Papers"},"content":{"rendered":"\n
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Peer-reviewed journal articles published during the IMPRESS Lab era (2019\u2013present)<\/strong>. IMPRESS Lab members are shown in bold<\/strong>. For the complete publication record, including work prior to 2019, please see Dr. Gurbuz\u2019s full publication list<\/a> or Google Scholar<\/a>.<\/p>\n\n\n\n

2026<\/h3>\n\n\n\n
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46.<\/strong> RFI-Net: Enhancing Passive Sensing through Deep Learning Based Time-Frequency Domain Radio Frequency Interference Detection and Mitigation<\/a>
A. M. Alam<\/strong>, M. Kurum and A. C. Gurbuz<\/strong>
IEEE Transactions on Geoscience and Remote Sensing, 2026<\/em><\/p>\n\n\n\n

BibTeX<\/summary>\n
@article{alam2026rfinet,\n  author  = {A. M. Alam and M. Kurum and A. C. Gurbuz},\n  title   = {RFI-Net: Enhancing Passive Sensing through Deep Learning Based Time-Frequency Domain Radio Frequency Interference Detection and Mitigation},\n  journal = {IEEE Transactions on Geoscience and Remote Sensing},\n  year    = {2026},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/11598835}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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45.<\/strong> Investigation of Machine Learning based Techniques for Crop Yield Estimation of Corn and Cotton Using Multi-sensor Data Fusion<\/a>
M. A. S. Rafi<\/strong>, V. Senyurek<\/strong>, A. Adeli, H. Yanbo, J. E. Ball and A. C. Gurbuz<\/strong>
Journal of Agriculture and Food Research, 102676, 2026<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{rafi2026investigation,\n  author  = {M. A. S. Rafi and V. Senyurek and A. Adeli and H. Yanbo and J. E. Ball and A. C. Gurbuz},\n  title   = {Investigation of Machine Learning based Techniques for Crop Yield Estimation of Corn and Cotton Using Multi-sensor Data Fusion},\n  journal = {Journal of Agriculture and Food Research, 102676},\n  year    = {2026},\n  url     = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2666154326000463}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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44.<\/strong> Deep Learning Framework for High-Resolution Large-Scale Vegetation Optical Depth Mapping Using Airborne LiDAR and Mobile GNSS-T Data<\/a>
A. Ghosh, M. E. Hoque, M. M. Farhad<\/strong>, A. C. Gurbuz<\/strong>, A. Peduzzi and M. Kurum
IEEE JSTARS, vol. 19, pp. 12087-12100, 2026<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{ghosh2026deep,\n  author  = {A. Ghosh and M. E. Hoque and M. M. Farhad and A. C. Gurbuz and A. Peduzzi and M. Kurum},\n  title   = {Deep Learning Framework for High-Resolution Large-Scale Vegetation Optical Depth Mapping Using Airborne LiDAR and Mobile GNSS-T Data},\n  journal = {IEEE JSTARS, vol. 19, pp. 12087-12100},\n  year    = {2026},\n  url     = {https:\/\/doi.org\/10.1109\/JSTARS.2026.3675561}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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43.<\/strong> Collection: UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments<\/a>
M. S. Hossen et al.
IEEE Data Descriptions, 2026<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{al2026collection,\n  author  = {M. S. Hossen et al.},\n  title   = {Collection: UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments},\n  journal = {IEEE Data Descriptions},\n  year    = {2026},\n  url     = {https:\/\/doi.org\/10.1109\/IEEEDATA.2026.3685296}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2025<\/h3>\n\n\n\n
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42.<\/strong> Deep Learning-Based Sequential Processing of Multibeam Echosounder Images for Automated Detection of Seafloor Gas Seep Occurrence
S. M. Manjur<\/strong>, V. Senyurek<\/strong>, A. Skarke and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 18, pp. 25549-25561, 2025<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{manjur2025deep,\n  author  = {S. M. Manjur and V. Senyurek and A. Skarke and A. C. Gurbuz},\n  title   = {Deep Learning-Based Sequential Processing of Multibeam Echosounder Images for Automated Detection of Seafloor Gas Seep Occurrence},\n  journal = {IEEE JSTARS, vol. 18, pp. 25549-25561},\n  year    = {2025}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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41.<\/strong> Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign<\/a>
M. M. Farhad<\/strong>, V. Senyurek<\/strong>, M. A. S. Rafi<\/strong>, S. B. Baray<\/strong>, C. McCraine, L. A. Hathcock, A. Adeli, H. Yanbo, A. C. Gurbuz<\/strong> and M. Kurum
IEEE JSTARS, vol. 18, pp. 16896-16915, 2025<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{farhad2025integrating,\n  author  = {M. M. Farhad and V. Senyurek and M. A. S. Rafi and S. B. Baray and C. McCraine and L. A. Hathcock and A. Adeli and H. Yanbo and A. C. Gurbuz and M. Kurum},\n  title   = {Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign},\n  journal = {IEEE JSTARS, vol. 18, pp. 16896-16915},\n  year    = {2025},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/11037323}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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40.<\/strong> DREAM-CFA: Joint Learning of Binary Color Filter Array and Demosaicing<\/a>
C. O. Ayna<\/strong>, B. K. Gunturk and A. C. Gurbuz<\/strong>
Journal of Electronic Imaging, 34(2), 023063, 2025<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{ayna2025dreamcfa,\n  author  = {C. O. Ayna and B. K. Gunturk and A. C. Gurbuz},\n  title   = {DREAM-CFA: Joint Learning of Binary Color Filter Array and Demosaicing},\n  journal = {Journal of Electronic Imaging, 34(2), 023063},\n  year    = {2025},\n  url     = {https:\/\/doi.org\/10.1117\/1.JEI.34.2.023063}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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39.<\/strong> A Merged CYGNSS Soil Moisture Product Using a Minimum Variance Estimator
E. Hodges, C. Chew, E. E. Small, D. Bai, M. Al-Khaldi, J. D. Ouellette, J. T. Johnson et al.
IEEE Transactions on Geoscience and Remote Sensing, 2025<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{hodges2025a,\n  author  = {E. Hodges and C. Chew and E. E. Small and D. Bai and M. Al-Khaldi and J. D. Ouellette and J. T. Johnson et al.},\n  title   = {A Merged CYGNSS Soil Moisture Product Using a Minimum Variance Estimator},\n  journal = {IEEE Transactions on Geoscience and Remote Sensing},\n  year    = {2025}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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38.<\/strong> Automated Detection of Seafloor Gas Seeps in Multibeam Echosounder Data With an Attention-Guided Convolutional Neural Network<\/a>
S. M. Manjur<\/strong>, V. Senyurek<\/strong>, R. Kalski, S. Gupta, A. Skarke and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 18, pp. 5633-5645, 2025<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{manjur2025automated,\n  author  = {S. M. Manjur and V. Senyurek and R. Kalski and S. Gupta and A. Skarke and A. C. Gurbuz},\n  title   = {Automated Detection of Seafloor Gas Seeps in Multibeam Echosounder Data With an Attention-Guided Convolutional Neural Network},\n  journal = {IEEE JSTARS, vol. 18, pp. 5633-5645},\n  year    = {2025},\n  url     = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10856333}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2024<\/h3>\n\n\n\n
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37.<\/strong> A Physical Testbed and Open Dataset for Passive Sensing and Wireless Communication Spectrum Coexistence
A. M. Alam<\/strong>, M. M. Farhad<\/strong>, W. Al-Qwider, A. Owfi, M. Koosha, N. Maston, F. Afghah, V. Marojevic, M. Kurum and A. C. Gurbuz<\/strong>
IEEE Access, vol. 12, pp. 131522-131540, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{alam2024a,\n  author  = {A. M. Alam and M. M. Farhad and W. Al-Qwider and A. Owfi and M. Koosha and N. Maston and F. Afghah and V. Marojevic and M. Kurum and A. C. Gurbuz},\n  title   = {A Physical Testbed and Open Dataset for Passive Sensing and Wireless Communication Spectrum Coexistence},\n  journal = {IEEE Access, vol. 12, pp. 131522-131540},\n  year    = {2024}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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36.<\/strong> Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks<\/a>
G. D. King, M. A. Towfiq, A. C. Gurbuz<\/strong> and B. A. Cetiner
IEEE Access, vol. 12, pp. 176908-176919, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{king2024beam,\n  author  = {G. D. King and M. A. Towfiq and A. C. Gurbuz and B. A. Cetiner},\n  title   = {Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks},\n  journal = {IEEE Access, vol. 12, pp. 176908-176919},\n  year    = {2024},\n  url     = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10744002}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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35.<\/strong> PLFNets: Interpretable Complex-Valued Parameterized Learnable Filters for Computationally Efficient RF Classification
S. Biswas<\/strong> and A. C. Gurbuz<\/strong>
IEEE Transactions on Radar Systems, vol. 2, pp. 1102-1111, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{gurbuz2024plfnets,\n  author  = {S. Biswas and A. C. Gurbuz},\n  title   = {PLFNets: Interpretable Complex-Valued Parameterized Learnable Filters for Computationally Efficient RF Classification},\n  journal = {IEEE Transactions on Radar Systems, vol. 2, pp. 1102-1111},\n  year    = {2024}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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34.<\/strong> Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products<\/a>
M. M. Nabi<\/strong>, V. Senyurek<\/strong>, M. Kurum and A. C. Gurbuz<\/strong>
IEEE JSTARS, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{nabi2024best,\n  author  = {M. M. Nabi and V. Senyurek and M. Kurum and A. C. Gurbuz},\n  title   = {Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products},\n  journal = {IEEE JSTARS},\n  year    = {2024},\n  url     = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10637276}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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33.<\/strong> SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms<\/a>
M. M. Farhad<\/strong>, S. Biswas<\/strong>, A. M. Alam<\/strong>, M. A. S. Rafi<\/strong>, A. C. Gurbuz<\/strong> and M. Kurum
IEEE JSTARS, vol. 17, pp. 9389-9402, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{farhad2024sdrbased,\n  author  = {M. M. Farhad and S. Biswas and A. M. Alam and M. A. S. Rafi and A. C. Gurbuz and M. Kurum},\n  title   = {SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms},\n  journal = {IEEE JSTARS, vol. 17, pp. 9389-9402},\n  year    = {2024},\n  url     = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10508892}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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32.<\/strong> HRSpecNET: A Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Improved HAR Classification<\/a>
S. Biswas<\/strong>, A. M. Alam<\/strong> and A. C. Gurbuz<\/strong>
IEEE Transactions on Radar Systems, vol. 2, pp. 484-497, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{biswas2024hrspecnet,\n  author  = {S. Biswas and A. M. Alam and A. C. Gurbuz},\n  title   = {HRSpecNET: A Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Improved HAR Classification},\n  journal = {IEEE Transactions on Radar Systems, vol. 2, pp. 484-497},\n  year    = {2024},\n  url     = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10517750}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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31.<\/strong> Microwave Radiometer Calibration Using Deep Learning With Reduced Reference Information and 2-D Spectral Features<\/a>
A. M. Alam<\/strong>, M. Kurum, M. Ogut and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 17, pp. 748-765, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{alam2024microwave,\n  author  = {A. M. Alam and M. Kurum and M. Ogut and A. C. Gurbuz},\n  title   = {Microwave Radiometer Calibration Using Deep Learning With Reduced Reference Information and 2-D Spectral Features},\n  journal = {IEEE JSTARS, vol. 17, pp. 748-765},\n  year    = {2024},\n  url     = {https:\/\/ieeexplore.ieee.org\/abstract\/document\/10318952}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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30.<\/strong> Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection<\/a>
S. Y. Alaba, A. C. Gurbuz<\/strong> and J. E. Ball
World Electric Vehicle Journal, 15(1), 20, 2024<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{alaba2024emerging,\n  author  = {S. Y. Alaba and A. C. Gurbuz and J. E. Ball},\n  title   = {Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection},\n  journal = {World Electric Vehicle Journal, 15(1), 20},\n  year    = {2024},\n  url     = {https:\/\/www.mdpi.com\/2032-6653\/15\/1\/20}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2023<\/h3>\n\n\n\n
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29.<\/strong> Learning-Based Optimization of Hyperspectral Band Selection for Classification<\/a>
C. O. Ayna<\/strong>, R. Mdrafi<\/strong>, Q. Du and A. C. Gurbuz<\/strong>
Remote Sensing, 15(18), 4460, 2023<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{ayna2023learningbased,\n  author  = {C. O. Ayna and R. Mdrafi and Q. Du and A. C. Gurbuz},\n  title   = {Learning-Based Optimization of Hyperspectral Band Selection for Classification},\n  journal = {Remote Sensing, 15(18), 4460},\n  year    = {2023},\n  url     = {https:\/\/www.mdpi.com\/2072-4292\/15\/18\/4460}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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28.<\/strong> CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition<\/a>
S. Biswas<\/strong>, C. O. Ayna<\/strong>, S. Z. Gurbuz and A. C. Gurbuz<\/strong>
IEEE Transactions on Radar Systems, vol. 1, pp. 493-504, 2023<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{biswas2023cvsincnet,\n  author  = {S. Biswas and C. O. Ayna and S. Z. Gurbuz and A. C. Gurbuz},\n  title   = {CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition},\n  journal = {IEEE Transactions on Radar Systems, vol. 1, pp. 493-504},\n  year    = {2023},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/10236478}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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27.<\/strong> A Ubiquitous GNSS-R Methodology to Estimate Surface Reflectivity Using Spinning Smartphone Onboard a Small UAS<\/a>
M. M. Farhad<\/strong>, M. Kurum and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 16, pp. 6568-6578, 2023<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{farhad2023a,\n  author  = {M. M. Farhad and M. Kurum and A. C. Gurbuz},\n  title   = {A Ubiquitous GNSS-R Methodology to Estimate Surface Reflectivity Using Spinning Smartphone Onboard a Small UAS},\n  journal = {IEEE JSTARS, vol. 16, pp. 6568-6578},\n  year    = {2023},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9883803}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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26.<\/strong> Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval<\/a>
M. M. Nabi<\/strong>, V. Senyurek<\/strong>, F. Lei, M. Kurum and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 16, pp. 5629-5644, 2023<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{nabi2023quasiglobal,\n  author  = {M. M. Nabi and V. Senyurek and F. Lei and M. Kurum and A. C. Gurbuz},\n  title   = {Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval},\n  journal = {IEEE JSTARS, vol. 16, pp. 5629-5644},\n  year    = {2023},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/10157977}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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25.<\/strong> Boosting Multi-Target Recognition Performance With Multi-Input Multi-Output Radar-Based Angular Subspace Projection and Multi-View Deep Neural Network<\/a>
E. Kurtoglu, S. Biswas<\/strong>, A. C. Gurbuz<\/strong> and S. Z. Gurbuz
IET Radar, Sonar & Navigation, 17(7), pp. 1115-1128, 2023<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{kurtoglu2023boosting,\n  author  = {E. Kurtoglu and S. Biswas and A. C. Gurbuz and S. Z. Gurbuz},\n  title   = {Boosting Multi-Target Recognition Performance With Multi-Input Multi-Output Radar-Based Angular Subspace Projection and Multi-View Deep Neural Network},\n  journal = {IET Radar, Sonar & Navigation, 17(7), pp. 1115-1128},\n  year    = {2023},\n  url     = {https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/full\/10.1049\/rsn2.12405}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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24.<\/strong> Closing the Wearable Gap: Foot-Ankle Kinematic Modeling via Deep Learning Models Based on a Smart Sock Wearable<\/a>
S. Davarzani, D. Saucier, P. Talegaonkar, et al., incl. A. C. Gurbuz<\/strong>
Wearable Technologies, 4, E4, 2023<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{davarzani2023closing,\n  author  = {S. Davarzani and D. Saucier and P. Talegaonkar and incl. A. C. Gurbuz},\n  title   = {Closing the Wearable Gap: Foot-Ankle Kinematic Modeling via Deep Learning Models Based on a Smart Sock Wearable},\n  journal = {Wearable Technologies, 4, E4},\n  year    = {2023},\n  url     = {https:\/\/doi.org\/10.1017\/wtc.2023.3}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2022<\/h3>\n\n\n\n
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23.<\/strong> Radio Frequency Interference Detection for SMAP Radiometer Using Convolutional Neural Networks<\/a>
A. M. Alam<\/strong>, M. Kurum and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 15, pp. 10099-10112, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{alam2022radio,\n  author  = {A. M. Alam and M. Kurum and A. C. Gurbuz},\n  title   = {Radio Frequency Interference Detection for SMAP Radiometer Using Convolutional Neural Networks},\n  journal = {IEEE JSTARS, vol. 15, pp. 10099-10112},\n  year    = {2022},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9954900}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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22.<\/strong> Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay-Doppler Maps<\/a>
M. M. Nabi<\/strong>, V. Senyurek<\/strong>, A. C. Gurbuz<\/strong> and M. Kurum
IEEE JSTARS, vol. 15, pp. 6867-6881, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{nabi2022deep,\n  author  = {M. M. Nabi and V. Senyurek and A. C. Gurbuz and M. Kurum},\n  title   = {Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay-Doppler Maps},\n  journal = {IEEE JSTARS, vol. 15, pp. 6867-6881},\n  year    = {2022},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9851513}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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21.<\/strong> Fusion of Reflected GPS Signals With Multispectral Imagery to Estimate Soil Moisture at Subfield Scale From Small UAS Platforms<\/a>
V. Senyurek<\/strong>, M. M. Farhad<\/strong>, A. C. Gurbuz<\/strong>, M. Kurum and A. Adeli
IEEE JSTARS, vol. 15, pp. 6843-6855, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{senyurek2022fusion,\n  author  = {V. Senyurek and M. M. Farhad and A. C. Gurbuz and M. Kurum and A. Adeli},\n  title   = {Fusion of Reflected GPS Signals With Multispectral Imagery to Estimate Soil Moisture at Subfield Scale From Small UAS Platforms},\n  journal = {IEEE JSTARS, vol. 15, pp. 6843-6855},\n  year    = {2022},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9854053}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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20.<\/strong> A Quasi-Global Machine Learning-Based Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations<\/a>
F. Lei, V. Senyurek<\/strong>, M. Kurum, A. C. Gurbuz<\/strong>, D. R. Boyd, R. Moorhead, W. T. Crow and O. Eroglu
Remote Sensing of Environment, vol. 276, 113041, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{lei2022a,\n  author  = {F. Lei and V. Senyurek and M. Kurum and A. C. Gurbuz and D. R. Boyd and R. Moorhead and W. T. Crow and O. Eroglu},\n  title   = {A Quasi-Global Machine Learning-Based Soil Moisture at High Spatio-Temporal Scales Using CYGNSS and SMAP Observations},\n  journal = {Remote Sensing of Environment, vol. 276, 113041},\n  year    = {2022},\n  url     = {https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425722001559}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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19.<\/strong> ASL Trigger Recognition in Mixed Activity\/Signing Sequences for RF Sensor-Based User Interfaces<\/a>
E. Kurtoglu, A. C. Gurbuz<\/strong>, E. A. Malaia, D. Griffin, C. Crawford and S. Z. Gurbuz
IEEE Transactions on Human-Machine Systems, 52(4), pp. 699-712, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{kurtoglu2022asl,\n  author  = {E. Kurtoglu and A. C. Gurbuz and E. A. Malaia and D. Griffin and C. Crawford and S. Z. Gurbuz},\n  title   = {ASL Trigger Recognition in Mixed Activity\/Signing Sequences for RF Sensor-Based User Interfaces},\n  journal = {IEEE Transactions on Human-Machine Systems, 52(4), pp. 699-712},\n  year    = {2022},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9660776}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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18.<\/strong> Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors<\/a>
M. M. Rahman, E. A. Malaia, A. C. Gurbuz<\/strong>, D. J. Griffin, C. Crawford and S. Z. Gurbuz
IEEE Transactions on Aerospace and Electronic Systems, 58(4), pp. 2732-2745, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{rahman2022effect,\n  author  = {M. M. Rahman and E. A. Malaia and A. C. Gurbuz and D. J. Griffin and C. Crawford and S. Z. Gurbuz},\n  title   = {Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors},\n  journal = {IEEE Transactions on Aerospace and Electronic Systems, 58(4), pp. 2732-2745},\n  year    = {2022},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9669011}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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17.<\/strong> Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition<\/a>
S. Z. Gurbuz, M. M. Rahman, E. Kurtoglu, A. C. Gurbuz<\/strong>, E. A. Malaia, D. J. Griffin and C. Crawford
IEEE Sensors Journal, 22(12), pp. 11373-11381, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{gurbuz2022multifrequency,\n  author  = {S. Z. Gurbuz and M. M. Rahman and E. Kurtoglu and A. C. Gurbuz and E. A. Malaia and D. J. Griffin and C. Crawford},\n  title   = {Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition},\n  journal = {IEEE Sensors Journal, 22(12), pp. 11373-11381},\n  year    = {2022},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9425571}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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16.<\/strong> Complexity in Sign Languages: Linguistic and Dimensional Analysis of Information Transfer in Dynamic Visual Communication<\/a>
E. A. Malaia, J. D. Borneman, E. Kurtoglu, S. Z. Gurbuz, D. Griffin, C. Crawford and A. C. Gurbuz<\/strong>
Linguistic Vanguard, 2022<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{malaia2022complexity,\n  author  = {E. A. Malaia and J. D. Borneman and E. Kurtoglu and S. Z. Gurbuz and D. Griffin and C. Crawford and A. C. Gurbuz},\n  title   = {Complexity in Sign Languages: Linguistic and Dimensional Analysis of Information Transfer in Dynamic Visual Communication},\n  journal = {Linguistic Vanguard},\n  year    = {2022},\n  url     = {https:\/\/doi.org\/10.1515\/lingvan-2021-0005}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2021<\/h3>\n\n\n\n
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15.<\/strong> Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations<\/a>
V. Senyurek<\/strong>, A. C. Gurbuz<\/strong> and M. Kurum
IEEE JSTARS, vol. 14, pp. 9815-9825, 2021<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{senyurek2021assessment,\n  author  = {V. Senyurek and A. C. Gurbuz and M. Kurum},\n  title   = {Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations},\n  journal = {IEEE JSTARS, vol. 14, pp. 9815-9825},\n  year    = {2021},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9541067}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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14.<\/strong> Robust Estimation of the Number of Coherent Radar Signal Sources Using Deep Learning<\/a>
J. Rogers<\/strong>, J. E. Ball and A. C. Gurbuz<\/strong>
IET Radar, Sonar & Navigation, 15(5), pp. 431-440, 2021<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{rogers2021robust,\n  author  = {J. Rogers and J. E. Ball and A. C. Gurbuz},\n  title   = {Robust Estimation of the Number of Coherent Radar Signal Sources Using Deep Learning},\n  journal = {IET Radar, Sonar & Navigation, 15(5), pp. 431-440},\n  year    = {2021},\n  url     = {https:\/\/ietresearch.onlinelibrary.wiley.com\/doi\/full\/10.1049\/rsn2.12047}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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13.<\/strong> American Sign Language Recognition Using RF Sensing<\/a>
S. Z. Gurbuz, A. C. Gurbuz<\/strong>, E. A. Malaia, D. J. Griffin, C. Crawford, M. M. Rahman, E. Kurtoglu, R. Aksu, T. Macks and R. Mdrafi<\/strong>
IEEE Sensors Journal, 21(3), pp. 3763-3775, 2021<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{gurbuz2021american,\n  author  = {S. Z. Gurbuz and A. C. Gurbuz and E. A. Malaia and D. J. Griffin and C. Crawford and M. M. Rahman and E. Kurtoglu and R. Aksu and T. Macks and R. Mdrafi},\n  title   = {American Sign Language Recognition Using RF Sensing},\n  journal = {IEEE Sensors Journal, 21(3), pp. 3763-3775},\n  year    = {2021},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9187644}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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12.<\/strong> Integration of Smartphones Into Small Unmanned Aircraft Systems to Sense Water in Soil by Using Reflected GPS Signals<\/a>
M. Kurum, M. M. Farhad<\/strong> and A. C. Gurbuz<\/strong>
IEEE JSTARS, vol. 14, pp. 1048-1059, 2021<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{kurum2021integration,\n  author  = {M. Kurum and M. M. Farhad and A. C. Gurbuz},\n  title   = {Integration of Smartphones Into Small Unmanned Aircraft Systems to Sense Water in Soil by Using Reflected GPS Signals},\n  journal = {IEEE JSTARS, vol. 14, pp. 1048-1059},\n  year    = {2021},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9272854}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2020<\/h3>\n\n\n\n
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11.<\/strong> Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification<\/a>
R. Mdrafi<\/strong>, Q. Du, A. C. Gurbuz<\/strong>, B. Tang, L. Ma and N. H. Younan
IEEE JSTARS, vol. 13, pp. 6424-6433, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{mdrafi2020attentionbased,\n  author  = {R. Mdrafi and Q. Du and A. C. Gurbuz and B. Tang and L. Ma and N. H. Younan},\n  title   = {Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification},\n  journal = {IEEE JSTARS, vol. 13, pp. 6424-6433},\n  year    = {2020},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9247118}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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10.<\/strong> Evaluations of a Machine Learning-Based CYGNSS Soil Moisture Estimates Against SMAP Observations<\/a>
V. Senyurek<\/strong>, F. Lei, D. Boyd, A. C. Gurbuz<\/strong>, M. Kurum and R. Moorhead
Remote Sensing, 12(21), 3503, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{senyurek2020evaluations,\n  author  = {V. Senyurek and F. Lei and D. Boyd and A. C. Gurbuz and M. Kurum and R. Moorhead},\n  title   = {Evaluations of a Machine Learning-Based CYGNSS Soil Moisture Estimates Against SMAP Observations},\n  journal = {Remote Sensing, 12(21), 3503},\n  year    = {2020},\n  url     = {https:\/\/www.mdpi.com\/2072-4292\/12\/21\/3503}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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9.<\/strong> SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections<\/a>
D. Boyd, M. Kurum, O. Eroglu, A. C. Gurbuz<\/strong>, J. L. Garrison, B. R. Nold, M. A. Vega, J. R. Piepmeier and R. Bindlish
Remote Sensing, 12(21), 3480, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{boyd2020scobi,\n  author  = {D. Boyd and M. Kurum and O. Eroglu and A. C. Gurbuz and J. L. Garrison and B. R. Nold and M. A. Vega and J. R. Piepmeier and R. Bindlish},\n  title   = {SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections},\n  journal = {Remote Sensing, 12(21), 3480},\n  year    = {2020},\n  url     = {https:\/\/www.mdpi.com\/2072-4292\/12\/21\/3480}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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8.<\/strong> Cramer-Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing<\/a>
D. R. Boyd, A. C. Gurbuz<\/strong>, M. Kurum, J. L. Garrison, B. R. Nold, M. A. Vega, J. R. Piepmeier and R. Bindlish
IEEE JSTARS, vol. 13, pp. 6101-6114, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{boyd2020cramerrao,\n  author  = {D. R. Boyd and A. C. Gurbuz and M. Kurum and J. L. Garrison and B. R. Nold and M. A. Vega and J. R. Piepmeier and R. Bindlish},\n  title   = {Cramer-Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing},\n  journal = {IEEE JSTARS, vol. 13, pp. 6101-6114},\n  year    = {2020},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9216600}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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7.<\/strong> Cognitive Radar Target Detection and Tracking With Multifunctional Reconfigurable Antennas<\/a>
A. C. Gurbuz<\/strong>, R. Mdrafi<\/strong> and B. A. Cetiner
IEEE Aerospace and Electronic Systems Magazine, 35(6), pp. 64-76, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{gurbuz2020cognitive,\n  author  = {A. C. Gurbuz and R. Mdrafi and B. A. Cetiner},\n  title   = {Cognitive Radar Target Detection and Tracking With Multifunctional Reconfigurable Antennas},\n  journal = {IEEE Aerospace and Electronic Systems Magazine, 35(6), pp. 64-76},\n  year    = {2020},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9109790}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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6.<\/strong> Machine Learning-Based CYGNSS Soil Moisture Estimates Over ISMN Sites in CONUS<\/a>
V. Senyurek<\/strong>, F. Lei, D. Boyd, M. Kurum, A. C. Gurbuz<\/strong> and R. Moorhead
Remote Sensing, 12(7), 1168, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{senyurek2020machine,\n  author  = {V. Senyurek and F. Lei and D. Boyd and M. Kurum and A. C. Gurbuz and R. Moorhead},\n  title   = {Machine Learning-Based CYGNSS Soil Moisture Estimates Over ISMN Sites in CONUS},\n  journal = {Remote Sensing, 12(7), 1168},\n  year    = {2020},\n  url     = {https:\/\/www.mdpi.com\/2072-4292\/12\/7\/1168}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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5.<\/strong> Joint Learning of Measurement Matrix and Signal Reconstruction via Deep Learning<\/a>
R. Mdrafi<\/strong> and A. C. Gurbuz<\/strong>
IEEE Transactions on Computational Imaging, vol. 6, pp. 818-829, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{gurbuz2020joint,\n  author  = {R. Mdrafi and A. C. Gurbuz},\n  title   = {Joint Learning of Measurement Matrix and Signal Reconstruction via Deep Learning},\n  journal = {IEEE Transactions on Computational Imaging, vol. 6, pp. 818-829},\n  year    = {2020},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9050520}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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4.<\/strong> Off-Grid Aware Channel and Covariance Estimation in mmWave Networks<\/a>
C. K. Anjinappa, A. C. Gurbuz<\/strong>, Y. Yapici and I. Guvenc
IEEE Transactions on Communications, 68(6), pp. 3908-3921, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{anjinappa2020offgrid,\n  author  = {C. K. Anjinappa and A. C. Gurbuz and Y. Yapici and I. Guvenc},\n  title   = {Off-Grid Aware Channel and Covariance Estimation in mmWave Networks},\n  journal = {IEEE Transactions on Communications, 68(6), pp. 3908-3921},\n  year    = {2020},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/9036918}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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3.<\/strong> CRLB Based Mode Selection and Enhanced DOA Estimation for Multifunctional Reconfigurable Arrays<\/a>
A. C. Gurbuz<\/strong> and B. A. Cetiner
Physical Communication, vol. 38, 100894, 2020<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{cetiner2020crlb,\n  author  = {A. C. Gurbuz and B. A. Cetiner},\n  title   = {CRLB Based Mode Selection and Enhanced DOA Estimation for Multifunctional Reconfigurable Arrays},\n  journal = {Physical Communication, vol. 38, 100894},\n  year    = {2020},\n  url     = {https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1874490719302496}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
2019<\/h3>\n\n\n\n
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2.<\/strong> An Internet-Inspired Proportional Fair EV Charging Control Method<\/a>
E. Ucer, M. C. Kisacikoglu, M. Yuksel and A. C. Gurbuz<\/strong>
IEEE Systems Journal, 13(4), pp. 4292-4302, 2019<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{ucer2019an,\n  author  = {E. Ucer and M. C. Kisacikoglu and M. Yuksel and A. C. Gurbuz},\n  title   = {An Internet-Inspired Proportional Fair EV Charging Control Method},\n  journal = {IEEE Systems Journal, 13(4), pp. 4292-4302},\n  year    = {2019},\n  url     = {https:\/\/ieeexplore.ieee.org\/document\/8688639}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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1.<\/strong> High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks<\/a>
O. Eroglu, M. Kurum, D. Boyd and A. C. Gurbuz<\/strong>
Remote Sensing, 11(19), 2019<\/em><\/p>\n\n\n\n
BibTeX<\/summary>\n
@article{eroglu2019high,\n  author  = {O. Eroglu and M. Kurum and D. Boyd and A. C. Gurbuz},\n  title   = {High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks},\n  journal = {Remote Sensing, 11(19)},\n  year    = {2019},\n  url     = {https:\/\/www.mdpi.com\/2072-4292\/11\/19\/2272}\n}<\/code><\/pre>\n<\/details>\n<\/div><\/div>\n\n\n\n
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Full publication record:<\/strong> alicafergurbuz.org\/publications<\/a>  \u00b7  Google Scholar<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Peer-reviewed journal articles published during the IMPRESS Lab era (2019\u2013present). IMPRESS Lab members are shown in bold. For the complete publication record, including work prior…<\/p>\n","protected":false},"author":152,"featured_media":0,"parent":10,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"page-fullwidth.php","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-44","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/44","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/comments?post=44"}],"version-history":[{"count":10,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/44\/revisions"}],"predecessor-version":[{"id":230,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/44\/revisions\/230"}],"up":[{"embeddable":true,"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/pages\/10"}],"wp:attachment":[{"href":"https:\/\/research.ece.ncsu.edu\/impress\/wp-json\/wp\/v2\/media?parent=44"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}