| A state-of-the-art survey on deep learning theory and architectures MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... electronics 8 (3), 292, 2019 | 1843 | 2019 |
| The history began from alexnet: A comprehensive survey on deep learning approaches MZ Alom, TM Taha, C Yakopcic, S Westberg, P Sidike, MS Nasrin, ... arXiv preprint arXiv:1803.01164, 2018 | 1613 | 2018 |
| U-net and its variants for medical image segmentation: A review of theory and applications N Siddique, S Paheding, CP Elkin, V Devabhaktuni IEEE Access 9, 82031-82057, 2021 | 1609 | 2021 |
| Soybean yield prediction from UAV using multimodal data fusion and deep learning M Maimaitijiang, V Sagan, P Sidike, S Hartling, F Esposito, FB Fritschi Remote sensing of environment 237, 111599, 2020 | 772 | 2020 |
| Monitoring inland water quality using remote sensing: Potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing V Sagan, KT Peterson, M Maimaitijiang, P Sidike, J Sloan, BA Greeling, ... Earth-Science Reviews 205, 103187, 2020 | 475 | 2020 |
| Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine M Maimaitijiang, A Ghulam, P Sidike, S Hartling, M Maimaitiyiming, ... ISPRS Journal of Photogrammetry and Remote Sensing 134, 43-58, 2017 | 377 | 2017 |
| UAV-based high resolution thermal imaging for vegetation monitoring, and plant phenotyping using ICI 8640 P, FLIR Vue Pro R 640, and thermomap cameras V Sagan, M Maimaitijiang, P Sidike, K Eblimit, KT Peterson, S Hartling, ... Remote Sensing 11 (3), 330, 2019 | 255 | 2019 |
| Crop monitoring using satellite/UAV data fusion and machine learning M Maimaitijiang, V Sagan, P Sidike, AM Daloye, H Erkbol, FB Fritschi Remote Sensing 12 (9), 1357, 2020 | 248 | 2020 |
| Vegetation index weighted canopy volume model (CVMVI) for soybean biomass estimation from unmanned aerial system-based RGB imagery M Maimaitijiang, V Sagan, P Sidike, M Maimaitiyiming, S Hartling, ... ISPRS journal of photogrammetry and remote sensing 151, 27-41, 2019 | 223 | 2019 |
| Urban tree species classification using a WorldView-2/3 and LiDAR data fusion approach and deep learning S Hartling, V Sagan, P Sidike, M Maimaitijiang, J Carron Sensors 19 (6), 1284, 2019 | 215 | 2019 |
| Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges JS Devagiri, S Paheding, Q Niyaz, X Yang, S Smith Expert Systems with Applications 207, 118002, 2022 | 181 | 2022 |
| Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning V Sagan, M Maimaitijiang, S Bhadra, M Maimaitiyiming, DR Brown, ... ISPRS journal of photogrammetry and remote sensing 174, 265-281, 2021 | 144 | 2021 |
| Suspended sediment concentration estimation from landsat imagery along the lower missouri and middle Mississippi Rivers using an extreme learning machine KT Peterson, V Sagan, P Sidike, AL Cox, M Martinez Remote Sensing 10 (10), 1503, 2018 | 136 | 2018 |
| Handwritten bangla digit recognition using deep learning MZ Alom, P Sidike, TM Taha, VK Asari arXiv preprint arXiv:1705.02680, 2017 | 128 | 2017 |
| Handwritten Bangla Character Recognition Using the State‐of‐the‐Art Deep Convolutional Neural Networks MZ Alom, P Sidike, M Hasan, TM Taha, VK Asari Computational intelligence and neuroscience 2018 (1), 6747098, 2018 | 126 | 2018 |
| Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning E Babaeian, S Paheding, N Siddique, VK Devabhaktuni, M Tuller Remote sensing of environment 260, 112434, 2021 | 122 | 2021 |
| dPEN: Deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery P Sidike, V Sagan, M Maimaitijiang, M Maimaitiyiming, N Shakoor, ... Remote sensing of environment 221, 756-772, 2019 | 105 | 2019 |
| Machine learning-based ensemble prediction of water-quality variables using feature-level and decision-level fusion with proximal remote sensing KT Peterson, V Sagan, P Sidike, EA Hasenmueller, JJ Sloan, JH Knouft Photogrammetric Engineering & Remote Sensing 85 (4), 269-280, 2019 | 87 | 2019 |
| Trends in deep learning for medical hyperspectral image analysis U Khan, S Paheding, CP Elkin, VK Devabhaktuni IEEE Access 9, 79534-79548, 2021 | 71 | 2021 |
| Dual activation function-based Extreme Learning Machine (ELM) for estimating grapevine berry yield and quality M Maimaitiyiming, V Sagan, P Sidike, MT Kwasniewski Remote Sensing 11 (7), 740, 2019 | 63 | 2019 |
Vijayan AsariProfessor of Electrical and Computer Engineering and ORS Endowed Chair in Wide Area SurveillanceBestätigte E-Mail-Adresse bei udayton.edu
