| Deep learning approach for active classification of electrocardiogram signals MM Al Rahhal, Y Bazi, H AlHichri, N Alajlan, F Melgani, RR Yager Information Sciences 345, 340-354, 2016 | 688 | 2016 |
| Artificial neural network methods for the solution of second order boundary value problems C Anitescu, E Atroshchenko, N Alajlan, T Rabczuk Computers, Materials & Continua 59 (1), 345-359, 2019 | 648 | 2019 |
| Shape retrieval using triangle-area representation and dynamic space warping N Alajlan, I El Rube, MS Kamel, G Freeman Pattern recognition 40 (7), 1911-1920, 2007 | 354 | 2007 |
| Deep learning approach for car detection in UAV imagery N Ammour, H Alhichri, Y Bazi, B Benjdira, N Alajlan, M Zuair Remote Sensing 9 (4), 312, 2017 | 307 | 2017 |
| Deep autoencoder based energy method for the bending, vibration, and buckling analysis of Kirchhoff plates with transfer learning X Zhuang, H Guo, N Alajlan, H Zhu, T Rabczuk European Journal of Mechanics-A/Solids 87, 104225, 2021 | 222 | 2021 |
| A wavelet optimization approach for ECG signal classification A Daamouche, L Hamami, N Alajlan, F Melgani Biomedical Signal Processing and Control 7 (4), 342-349, 2012 | 212 | 2012 |
| Geometry-based image retrieval in binary image databases N Alajlan, MS Kamel, GH Freeman IEEE transactions on pattern analysis and machine intelligence 30 (6), 1003-1013, 2008 | 209 | 2008 |
| Classification of remote sensing images using EfficientNet-B3 CNN model with attention H Alhichri, AS Alswayed, Y Bazi, N Ammour, NA Alajlan IEEE access 9, 14078-14094, 2021 | 196 | 2021 |
| Sensitivity and uncertainty analysis for flexoelectric nanostructures KM Hamdia, H Ghasemi, X Zhuang, N Alajlan, T Rabczuk Computer Methods in Applied Mechanics and Engineering 337, 95-109, 2018 | 191 | 2018 |
| Approximate reasoning with generalized orthopair fuzzy sets RR Yager, N Alajlan Information Fusion 38, 65-73, 2017 | 187 | 2017 |
| Using convolutional features and a sparse autoencoder for land-use scene classification E Othman, Y Bazi, N Alajlan, H Alhichri, F Melgani International Journal of Remote Sensing 37 (10), 2149-2167, 2016 | 177 | 2016 |
| Differential evolution extreme learning machine for the classification of hyperspectral images Y Bazi, N Alajlan, F Melgani, H AlHichri, S Malek, RR Yager IEEE Geoscience and Remote Sensing Letters 11 (6), 1066-1070, 2013 | 160 | 2013 |
| Domain adaptation network for cross-scene classification E Othman, Y Bazi, F Melgani, H Alhichri, N Alajlan, M Zuair IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4441-4456, 2017 | 147 | 2017 |
| Detail preserving impulsive noise removal N Alajlan, M Kamel, E Jernigan Signal processing: image communication 19 (10), 993-1003, 2004 | 141 | 2004 |
| Efficient framework for palm tree detection in UAV images S Malek, Y Bazi, N Alajlan, H AlHichri, F Melgani IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 129 | 2014 |
| Parametric deep energy approach for elasticity accounting for strain gradient effects VM Nguyen-Thanh, C Anitescu, N Alajlan, T Rabczuk, X Zhuang Computer Methods in Applied Mechanics and Engineering 386, 114096, 2021 | 117 | 2021 |
| Fusion of supervised and unsupervised learning for improved classification of hyperspectral images N Alajlan, Y Bazi, F Melgani, RR Yager Information Sciences 217, 39-55, 2012 | 106 | 2012 |
| Aspects of generalized orthopair fuzzy sets RR Yager, N Alajlan, Y Bazi International Journal of Intelligent Systems 33 (11), 2154-2174, 2018 | 100 | 2018 |
| Land-use classification with compressive sensing multifeature fusion ML Mekhalfi, F Melgani, Y Bazi, N Alajlan IEEE Geoscience and Remote Sensing Letters 12 (10), 2155-2159, 2015 | 85 | 2015 |
| Simple yet effective fine-tuning of deep CNNs using an auxiliary classification loss for remote sensing scene classification Y Bazi, MM Al Rahhal, H Alhichri, N Alajlan Remote Sensing 11 (24), 2908, 2019 | 84 | 2019 |
Prof. Yakoub BaziCollege of Computer and Information Sciences, King Saud UniversityE-mailová adresa ověřena na: ksu.edu.sa
