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Journal Articles
- 2024
[j23]Sidike Paheding
, Ashraf Saleem, Mohammad Faridul Haque Siddiqui, Nathir A. Rawashdeh, Almabrok Essa, Abel A. Reyes:
Advancing horizons in remote sensing: a comprehensive survey of deep learning models and applications in image classification and beyond. Neural Comput. Appl. 36(27): 16727-16767 (2024)- 2023
- [j22]Ashraf Saleem, Sidike Paheding, Nathir A. Rawashdeh, Ali Awad, Navjot Kaur:
A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset. IEEE Access 11: 10412-10428 (2023) - 2022
- [j21]Yuchen Li, Jered Pawlak, Joshua Price, Khair Al Shamaileh, Quamar Niyaz, Paheding Sidike, Vijay K. Devabhaktuni:
Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning. IEEE Access 10: 16859-16870 (2022) - [j20]Jeevan S. Devagiri, Paheding Sidike, Quamar Niyaz, Xiaoli Yang, Samantha L. Smith:
Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges. Expert Syst. Appl. 207: 118002 (2022) - [j19]Vasit Sagan, Maitiniyazi Maimaitijiang, Paheding Sidike, Sourav Bhadra, Nichole Gosselin, Maxwell Burnette, Jeffrey Demieville, Sean Hartling, David S. LeBauer, Maria Newcomb, Duke Pauli, Kyle T. Peterson, Nadia Shakoor, Abby Stylianou, Charles S. Zender, Todd C. Mockler:
Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - 2021
- [j18]Uzair Khan, Paheding Sidike, Colin P. Elkin, Vijaya Kumar Devabhaktuni:
Trends in Deep Learning for Medical Hyperspectral Image Analysis. IEEE Access 9: 79534-79548 (2021) - [j17]Nahian Siddique, Paheding Sidike, Colin P. Elkin, Vijay Kumar Devabhaktuni:
U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications. IEEE Access 9: 82031-82057 (2021) - [j16]Shengli Jiang, Zhuo Xu, Medhavi Kamran, Stas Zinchik, Paheding Sidike, Armando G. McDonald, Ezra Bar-Ziv, Victor M. Zavala:
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste. Comput. Chem. Eng. 155: 107547 (2021) - [j15]P. C. Srinivasa Rao, A. J. Sravan Kumar, Quamar Niyaz, Paheding Sidike, Vijay K. Devabhaktuni:
Binary chemical reaction optimization based feature selection techniques for machine learning classification problems. Expert Syst. Appl. 167: 114169 (2021) - 2020
- [j14]Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike, Ahmad M. Daloye, Hasanjan Erkbol, Felix B. Fritschi:
Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. Remote. Sens. 12(9): 1357 (2020) - [j13]Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Allison J. Miller, Misha T. Kwasniewski:
Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology. Remote. Sens. 12(19): 3216 (2020) - 2019
- [j12]Ebrahim Babaeian, Paheding Sidike, Maria Newcomb, Maitiniyazi Maimaitijiang, Scott A. White, Jeffrey Demieville, Richard W. Ward, Morteza Sadeghi, David S. LeBauer, Scott B. Jones, Vasit Sagan, Markus Tuller:
A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture. Frontiers Big Data 2: 37 (2019) - [j11]Vasit Sagan, Maitiniyazi Maimaitijiang, Paheding Sidike, Kevin Eblimit, Kyle T. Peterson, Sean Hartling, Flavio Esposito, Kapil Khanal, Maria Newcomb, Duke Pauli, Rick Ward, Felix B. Fritschi, Nadia Shakoor, Todd C. Mockler:
UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras. Remote. Sens. 11(3): 330 (2019) - [j10]Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Misha T. Kwasniewski:
Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality. Remote. Sens. 11(7): 740 (2019) - [j9]Sean Hartling, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Joshua Carron:
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning. Sensors 19(6): 1284 (2019) - 2018
- [j8]Md. Zahangir Alom, Paheding Sidike, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks. Comput. Intell. Neurosci. 2018: 6747098:1-6747098:13 (2018) - [j7]Paheding Sidike, Vasit Sagan, Maher B. Qumsiyeh, Maitiniyazi Maimaitijiang, Almabrok E. Essa, Vijayan K. Asari:
Adaptive Trigonometric Transformation Function With Image Contrast and Color Enhancement: Application to Unmanned Aerial System Imagery. IEEE Geosci. Remote. Sens. Lett. 15(3): 404-408 (2018) - [j6]Kyle T. Peterson, Vasit Sagan, Paheding Sidike, Amanda L. Cox, Megan Martinez:
Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine. Remote. Sens. 10(10): 1503 (2018) - 2017
- [j5]Almabrok E. Essa, Paheding Sidike, Vijayan K. Asari:
Volumetric Directional Pattern for Spatial Feature Extraction in Hyperspectral Imagery. IEEE Geosci. Remote. Sens. Lett. 14(7): 1056-1060 (2017) - [j4]Md. Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari:
State Preserving Extreme Learning Machine: A Monotonically Increasing Learning Approach. Neural Process. Lett. 45(2): 703-725 (2017) - [j3]Paheding Sidike, Evan Krieger, Md. Zahangir Alom, Vijayan K. Asari, Tarek M. Taha:
A fast single-image super-resolution via directional edge-guided regularized extreme learning regression. Signal Image Video Process. 11(5): 961-968 (2017) - 2016
- [j2]Paheding Sidike, Vijayan K. Asari, Mohammad S. Alam:
Multiclass Object Detection With Single Query in Hyperspectral Imagery Using Class-Associative Spectral Fringe-Adjusted Joint Transform Correlation. IEEE Trans. Geosci. Remote. Sens. 54(2): 1196-1208 (2016) - 2015
- [j1]Almabrok E. Essa, Paheding Sidike, Vijayan K. Asari:
Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications. Int. J. Monit. Surveillance Technol. Res. 3(2): 20-34 (2015)
Conference and Workshop Papers
- 2024
- [c22]Abel A. Reyes Angulo, Sidike Paheding:
Forward-Forward Algorithm for Hyperspectral Image Classification. CVPR Workshops 2024: 3153-3161 - [c21]Mateo Garcia, Quamar Niyaz, Xiaoli Yang, Ahmad Y. Javaid, Sidike Paheding:
An Interactive Visualization Tool for Computer Organization and Design Course. EIT 2024: 457-462 - [c20]Sidike Paheding, Abel A. Reyes, A. Rajaneesh, K. S. Sajinkumar, Thomas Oommen:
MarsLS-Net: Martian Landslides Segmentation Network and Benchmark Dataset. WACV 2024: 8221-8230 - 2023
- [c19]Abel A. Reyes, Sidike Paheding, A. Rajaneesh, K. S. Sajinkumar, Thomas Oommen:
C-PLES: Contextual Progressive Layer Expansion with Self-attention for Multi-class Landslide Segmentation on Mars using Multimodal Satellite Imagery. CVPR Workshops 2023: 354-364 - [c18]Shahid Nawaz Khan, Maitiniyazi Maimaitijiang, Bruce Millett, Sidike Paheding, Dapeng Li, Melanie Caffé, Péter Kovács:
Simultaneously Estimating Crop Yield and Seed Composition using Multitask Learning from UAV Multispectral Data. IGARSS 2023: 2771-2774 - [c17]Maitiniyazi Maimaitijiang, Bruce Millett, Sidike Paheding, Shahid Nawaz Khan, Kamila Dilmurat, Abel A. Reyes, Péter Kovács:
Estimating Crop Grain Yield and Seed Composition Using Deep Learning from UAV Multispectral Data. IGARSS 2023: 3546-3549 - 2022
- [c16]Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. CVPR Workshops 2022: 408-416 - [c15]Abel A. Reyes Angulo, Xiaoli Yang, Quamar Niyaz, Paheding Sidike, Ahmad Y. Javaid:
A Secure Software Engineering Design Framework for Educational Purpose. EIT 2022: 375-381 - [c14]Abel A. Reyes, Paheding Sidike, Makarand Deo, Michel A. Audette:
Gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation. MMMI@MICCAI 2022: 76-88 - 2020
- [c13]Matthew Maimaitiyiming, Maitiniyazi Maimaitijiang, Paheding Sidike, Vasit Sagan, Zoë Migicovsky, Daniel H. Chitwood, Peter Cousins, Nick Dokoozlian, Allison J. Miller, Misha T. Kwasniewski:
Modeling Early Indicators of Grapevine Physiology Using Hyperspectral Imaging and Partial Least Squares Regression (PLSR). IGARSS 2020: 1117-1120 - 2018
- [c12]Maxwell Burnette, Rob Kooper, J. D. Maloney, Gareth S. Rohde, Jeffrey A. Terstriep, Craig Willis, Noah Fahlgren, Todd C. Mockler, Maria Newcomb, Vasit Sagan, Pedro Andrade-Sanchez, Nadia Shakoor, Paheding Sidike, Rick Ward, David S. LeBauer:
TERRA-REF Data Processing Infrastructure. PEARC 2018: 27:1-27:7 - 2016
- [c11]Evan Krieger, Almabrok E. Essa, Paheding Sidike, Theus H. Aspiras, Vijayan K. Asari:
Boosted ringlet features for robust object tracking. AIPR 2016: 1-7 - [c10]Paheding Sidike, Md. Zahangir Alom, Vijayan K. Asari, Tarek M. Taha:
Non-regularized State Preserving Extreme Learning Machine for Natural Scene Classification. CVIP (1) 2016: 409-418 - [c9]Almabrok Essa, Paheding Sidike, Vijayan K. Asari:
Real Time Automated Machinery Threat Detection and Identification System for Pipeline Infrastructure Protection. IMAWM 2016: 1-5 - [c8]Paheding Sidike, Daniel Prince, Almabrok E. Essa, Vijayan K. Asari:
Automatic building change detection through adaptive local textural features and sequential background removal. IGARSS 2016: 2857-2860 - [c7]Paheding Sidike, Chen Chen, Vijayan K. Asari, Yan Xu, Wei Li:
Classification of hyperspectral image using multiscale spatial texture features. WHISPERS 2016: 1-4 - 2015
- [c6]Vijayan K. Asari, Sidike Paheding, Chen Cui, Varun Santhaseelan:
Recent progress in wide-area surveillance: protecting our pipeline infrastructure. IMAWM 2015: 940802 - [c5]Paheding Sidike, Vijayan K. Asari, Mohammad S. Alam:
Multiple object detection in hyperspectral imagery using spectral fringe-adjusted joint transform correlator. Image Processing: Machine Vision Applications 2015: 940502 - [c4]Evan Krieger, Paheding Sidike, Theus H. Aspiras, Vijayan K. Asari:
Directional ringlet intensity feature transform for tracking. ICIP 2015: 3871-3875 - [c3]Md. Zahangir Alom, Paheding Sidike, Vijayan K. Asari, Tarek M. Taha:
State Preserving Extreme Learning Machine for face recognition. IJCNN 2015: 1-7 - 2014
- [c2]Fatema A. Albalooshi, Sara Smith, Yakov Diskin, Paheding Sidike, Vijayan K. Asari:
Automatic segmentation of carcinoma in radiographs. AIPR 2014: 1-6 - [c1]Paheding Sidike, Vijayan K. Asari, Mohammad S. Alam:
Illumination-invariant pattern recognition using fringe-adjusted joint transform correlator and monogenic signal. Image Processing: Machine Vision Applications 2014: 90240C
Informal and Other Publications
- 2024
- [i10]Abhilash Durgam, Sidike Paheding, Vikas Dhiman, Vijay K. Devabhaktuni:
Cross-view geo-localization: a survey. CoRR abs/2406.09722 (2024) - 2023
- [i9]Sidike Paheding, Abel A. Reyes Angulo:
Forward-Forward Algorithm for Hyperspectral Image Classification: A Preliminary Study. CoRR abs/2307.00231 (2023) - [i8]Abel A. Reyes Angulo, Sidike Paheding:
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study. CoRR abs/2307.00617 (2023) - [i7]Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Sidike Paheding, Nathir A. Rawashdeh:
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments. CoRR abs/2309.05036 (2023) - 2022
- [i6]Paheding Sidike, Abel A. Reyes, Anush Kasaragod, Thomas Oommen:
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification. CoRR abs/2204.10099 (2022) - 2020
- [i5]Nahian Siddique, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
U-Net and its variants for medical image segmentation: theory and applications. CoRR abs/2011.01118 (2020) - [i4]Uzair Khan, Paheding Sidike, Colin Elkin, Vijay Kumar Devabhaktuni:
Trends in deep learning for medical hyperspectral image analysis. CoRR abs/2011.13974 (2020) - 2018
- [i3]Md. Zahangir Alom, Tarek M. Taha, Christopher Yakopcic, Stefan Westberg, Paheding Sidike, Mst Shamima Nasrin, Brian C. Van Essen, Abdul A. S. Awwal, Vijayan K. Asari:
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches. CoRR abs/1803.01164 (2018) - 2017
- [i2]Md. Zahangir Alom, Paheding Sidike, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Digit Recognition Using Deep Learning. CoRR abs/1705.02680 (2017) - [i1]Md. Zahangir Alom, Paheding Sidike, Mahmudul Hasan, Tarek M. Taha, Vijayan K. Asari:
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks. CoRR abs/1712.09872 (2017)
Coauthor Index
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