Journal Papers
You may also access my publications from the Google Scholar database.
Works with advisees (undergraduate and graduate students) are indicated with their names being underlined.
You may also access my publications from the Google Scholar database.
Works with advisees (undergraduate and graduate students) are indicated with their names being underlined.
Manuscripts Under Review
1. C. O. Ayna, B. Gunturk, A.C. Gurbuz, “Learning Binary Color Filter Array Patterns with Trainable Hard Thresholding”, https://arxiv.org/abs/2406.14421
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2024
54. Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products
M. M. Nabi, V. Senyurek, M. Kurum and A. C. Gurbuz IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2024.3443100 53. HRSpecNET: A Deep Learning-Based High-Resolution Radar Micro-Doppler Signature Reconstruction for Improved HAR S. Biswas, A. Manavi Alam and A. C. Gurbuz IEEE Transactions on Radar Systems, vol. 2, pp. 484-497, 2024 52. SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms, M. M. Farhad, A. M. Alam, S. Biswas, M. A. S. Rafi, A. C. Gurbuz and M. Kurum IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9389-9402, 2024 51. Emerging Trends in Autonomous Vehicle Perception: Multimodal Fusion for 3D Object Detection Alaba, Simegnew Yihunie, Ali C. Gurbuz, and John E. Ball. World Electric Vehicle Journal 15, no. 1: 20. 2024. 50. Microwave Radiometer Calibration Using Deep Learning With Reduced Reference Information and 2-D Spectral Features A. M. Alam, M. Kurum, M. Ogut and A. C. Gurbuz, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 748-765, 2024, |
2023
49. Learning-Based Optimization of Hyperspectral Band Selection for Classification
C. O. Ayna, R. Mdrafi, Qian Du, and A. C. Gurbuz Remote Sensing 15, no. 18: 4460 2023. 48. CV-SincNet: Learning Complex Sinc Filters from Raw Radar Data for Computationally Efficient Human Motion Recognition S. Biswas, C. O. Ayna, S.Z. Gurbuz, A.C. Gurbuz, IEEE Transactions on Radar Systems, vol. 1, pp. 493-504, 2023 47. A Ubiquitous GNSS-R Methodology to Estimate Surface Reflectivity Using Spinning Smartphone Onboard a Small UAS M. M. Farhad, M. Kurum and A. C. Gurbuz IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 6568-6578, 2023. 46. Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval M. M. Nabi, V. Senyurek, F. Lei, M. Kurum and A. C. Gurbuz IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 5629-5644, 2023. 45. Boosting multi-target recognition performance with multi-input multi-output radar-based angular subspace projection and multi-view deep neural network E. Kurtoglu, S. Biswas, A. C. Gurbuz, and S.Z. Gurbuz IET Radar Sonar Navigation 17(7), 1115–1128, 2023. 44. Closing the Wearable Gap: Foot–ankle kinematic modeling via deep learning models based on a smart sock wearable S. Davarzani, et.al. Wearable Technologies, 4, E4, 2023. doi:10.1017/wtc.2023.3 |
2022
43. Radio Frequency Interference Detection for SMAP Radiometer Using Convolutional Neural Networks
A. M. Alam, M. Kurum and A. C. Gurbuz IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 10099-10112, 2022. 42. Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay–Doppler Maps M. M. Nabi, V. Senyurek, A. C. Gurbuz and M. Kurum IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6867-6881, 2022. 41. Fusion of Reflected GPS Signals With Multispectral Imagery to Estimate Soil Moisture at Subfield Scale From Small UAS V. Senyurek, M. M. Farhad, A. C. Gurbuz, M. Kurum and A. Adeli IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 6843-6855, 2022. 40. A Quasi-Global Machine Learning-based Soil Moisture at High Spatio-Temporal Scales using CYGNSS and SMAP Observati F . Lei, V. Senyurek, M. Kurum, A. Gurbuz, D. R. Boyd, R. Moorhead, W.T. Crow, and O. Eroglu Remote Sensing of Environment, Volume 276, July 2022, 113041. doi.org/10.1016/j.rse.2022.113041. 39. ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces . E. Kurtoglu, A. C. Gurbuz, E. A. Malaia, D. Griffin, C. Crawford and S. Z. Gurbuz IEEE Transactions on Human-Machine Systems, vol. 52, no. 4, pp. 699-712, Aug. 2022 38. Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition With RF Sensors M. M. Rahman, E. A. Malaia, A. C. Gurbuz, D. J. Griffin, C. Crawford and S. Z. Gurbuz IEEE Transactions on Aerospace and Electronic Systems, vol. 58, no. 4, pp. 2732-2745, Aug. 2022 37. Multi-Frequency RF Sensor Fusion for Word-Level Fluent ASL Recognition S. Z. Gurbuz, M. M. Rahman; E. Kurtoglu, A. C. Gurbuz;; E. A. Malaia; D. J. Griffin; C. Crawford IEEE Sensors Journal, vol. 22, no. 12, pp. 11373-11381, 15 June15, 2022 36. Complexity in Sign Languages: Linguistic and Dimensional Analysis of Information Transfer in Dynamic Visual Comm E.A. Malaia, J.D. Borneman, E. Kurtoglu, S.Z. Gurbuz, D. Griffin, C. Crawford and A. C. Gurbuz Linguistic Vanguard, 2022, DOI: 10.1515/lingvan-2021-0005 |
2021
35. Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations
V. Senyurek, A. C. Gurbuz, M. Kurum IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, vol. 14, pp. 9815 - 9825, 2021. 34. Robust estimation of the number of coherent radar signal sources using deep learning J. Rogers, J. E. Ball, , A. C. Gurbuz; IET Radar, Sonar & Navigation, Vol 15, No 5, pp. 431-440, 2021 33. American Sign Language Recognition Using RF Sensing S. Z. Gurbuz, A. C. Gurbuz; E. A. Malaia; D. J. Griffin; C. Crawford; M. M. Rahman; E. Kurtoglu, R. Aksu, T. Macks, R. Mdrafi IEEE Sensors Journal, vol. 21, no. 3, pp. 3763-3775, 1 Feb.1, 2021 32. Integration of Smartphones into Small Unmanned Aircraft Systems to Sense Water in Soil by Using Reflected GPS Signals M. Kurum, M. M. Farhad and A. C. Gurbuz;, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 1048-1059, 2021 |
2020
31. Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification
R. Mdrafi, Q. Du, A. C. Gurbuz, B. Tang, L. Ma and N. H. Younan, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6424-6433, 2020 30. Evaluations of a Machine Learning-based CYGNSS Soil Moisture Estimates against SMAP Observations Senyurek, V.; Lei, F.; Boyd, D.; Kurum, M.; Gurbuz, Ali C.; Moorhead, R. Remote Sensing, 2020, 12(21), 3480; https://doi.org/10.3390/rs12213480 29. SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections D. R. Boyd, A. C. Gurbuz , M. Kurum, J. L. Garrison,B. R. Nold, J. R. Piepmeier, M. Vega, R. Bindlish Remote Sensing, 2020, 12(21), 3480; https://doi.org/10.3390/rs12213480 28. Cramer–Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote Sensing D. R. Boyd, A. C. Gurbuz , M. Kurum, J. L. Garrison,B. R. Nold, J. R. Piepmeier, M. Vega, R. Bindlish IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 6101-6114, 2020 27. Cognitive Radar Target Detection and Tracking with Multifunctional Reconfigurable Antennas A. C. Gurbuz, R. Mdrafi, B. A. Cetiner IEEE Aerospace and Electronic Systems Magazine, vol. 35, no. 6, pp. 64-76, 1 June 2020, 26. Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS V. Senyurek, F. Lei, D. Boyd, M. Kurum, A. C. Gurbuz, R. Moorhead Remote Sensing, 2020, 12, 1168. 25. Joint Learning of Measurement Matrix and Signal Reconstruction via Deep Learning R. Mdrafi, Ali C. Gurbuz IEEE Transactions on Computational Imaging, vol. 6, pp. 818-829, 2020, 24. Off-Grid Aware Channel and Covariance Estimation in mmWave Networks C. K. Anjinappa, Ali C. Gurbuz, Y. Yapici, I. Guvenc IEEE Transactions on Communications, vol. 68, no. 6, pp. 3908-3921, June 2020 23. CRLB based mode selection and enhanced DOA estimation for multifunctional reconfigurable arrays Ali C. Gurbuz, Bedri A. Cetiner Physical Communication, Vol. 38, 100894, 2020. |
2019
22. An Internet-Inspired Proportional Fair EV Charging Control Method
E. Ucer, M. C. Kisacikoglu, M. Yuksel and A. C. Gurbuz IEEE Systems Journal, vol. 13, no. 4, pp. 4292-4302, Dec. 2019. 21. High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks O. Eroglu, M. Kurum , D. Boyd, and A. C. Gurbuz MDPI Remote Sensing, vol. 11, no. 19, pp.1-32, 2019. |
2018-2007
20. Autofocused Spotlight SAR Image Reconstruction of Off-Grid Sparse Scenes
S. Camlica, A. C. Gurbuz and O. Arikan IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 4, pp. 1880-1892, Aug. 2017. 19. Compressive Sensing based Robust Off-the-Grid Stretch Processing I. Ilhan, A. C. Gurbuz and O. Arikan IET Radar, Sonar Navigation, vol. 11, p. 1730-1735, 2017. 18. 3D imaging for ground-penetrating radars via dictionary dimension reduction M. Duman; A.C. Gürbüz Tubitak Journal of Electrical Eng. and Computer Science, vol. 23, pp. 1242-1256, 2015. 17. Knowledge Exploitation for Human Micro-Doppler Classification C. Karabacak, S.Z. Gurbuz, A.C. Gurbuz, M.B. Guldogan, G. Hendeby, F. Gustafsson IEEE Geoscience and Remote Sensing Letters, vol.12, no.10, pp.2125-2129, Oct. 2015. 16. SAR image reconstruction by expectation maximization based matching pursuit S. Ugur, O. Arıkan, A. C. Gürbüz Digital Signal Processing, vol. 37, pp. 75-84, February 2015. 15. A Robust Compressive Sensing Based Technique For Reconstruction of Sparse Radar Scenes O. Teke, A. C. Gürbüz, O. Arikan Digital Signal Processing, vol. 27, pp. 23-32, 2014. 14. Perturbed Orthogonal Matching Pursuit O. Teke, A. C. Gürbüz, O. Arikan IEEE Transactions on Signal Processing, vol. 61, no. 24, pp. 6220-6231, December 2013. 13. Sparse Ground-Penetrating Radar Imaging Method for Off-the-Grid Target Problem Ali Cafer Gurbuz; Oguzhan Teke; Orhan Arikan J. Electron. Imaging. 22 (2), 021007 (January 31, 2013); doi: 10.1117/1.JEI.22.2.021007 12. Analysis of Energy Efficiency of Compressive Sensing in Wireless Sensor Networks C Karakus, A. C. Gürbüz, B Tavli IEEE Sensors Journal, vol.13, no.5, pp.1999-2008, May 2013. 11. Bearing Estimation via Spatial Sparsity Using Compressive Sensing Ali Cafer Gürbüz, V. Cevher and J. H. McClellan IEEE Transactions on Aerospace and Electronic Systems, Vol 48, No 2, 2012l. 48, no. 2, pp. 1358-1369, April 2012. 10. Compressive Sensing of Underground Structures using GPR Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott Digital Signal Processing, Volume 22, Issue 1, January 2012, Pages 66–73 9. Ground Bounce Removal for Compressed Sensing Based GPRs Mehmet Ali Çağrı Tuncer, Ali Cafer Gürbüz IEEE Geoscience and Remote Sensing Letters, vol. 9, No 1, pp. 23 – 27, 2012 8. Performance Analysis of Compressive-Sensing-Based Through-the-Wall Imaging with Effect of Unknown Parameters Muhammed Duman and Ali Cafer Gurbuz International Journal of Antennas and Propagation, vol. 2012, Article ID 405145, 11 pages, 2012. doi:10.1155/2012/405145 7. Analysis of Orthogonal Matching Pursuit Based Subsurface Imaging for Compressive Ground Penetrating Radars Mehmet Ali Çağrı Tuncer, Ali Cafer Gürbüz Tubitak Journal of Electrical Engineering and Computer Science, vol 20, no 6, pp. 979-989, 2012 6. Determination of Background Distribution for Ground-Penetrating Radar Data Ali Cafer Gürbüz IEEE Geoscience and Remote Sensing Letters, vol. 9, no, 4, pp. 544 – 548, 2012 5. Line Detection with Adaptive Random Samples Ali Cafer Gürbüz Turk. J. Elec. Eng. & Comp. Sci. Volume 19, pp. 21-32, 2011 4. Detection of Linear and Planar Structures in 3D Subsurface Images by Iterative Dimension Reduction Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott Digital Signal Processing, vol. 20, no. 2, Pages: 391-400, March 2010. 3. A Compressive Sensing Data Acquisition and Imaging Method for Stepped-Frequency GPRs Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott IEEE Tran. On Signal Processing, Vol. 57(7), Pages: 2640-2650 , July 2009 2. Compressive Sensing for Subsurface Imaging using Ground Penetrating Radar Ali Cafer Gürbüz, J. H. McClellan, and W.R. Scott Signal Processing, Vol. 89(10), Pages: 1959-1972, October 2009 [2013 EURASIP Best Paper Award for the Signal Processing Journal] 1. Multistatic Ground-Penetrating Radar Experiments T. Counts, Ali. C. Gürbüz, K. Kim, W. R. Scott, Jr and J. H. McClellan IEEE Trans. on Geoscience and Remote Sensing, Vol. 45(8), Page(s): 2544 – 2553, Aug. 2007. |
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This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.