Seuraa
Naif Alajlan
Naif Alajlan
Professor of Computer Engineering, King Saud University
Vahvistettu sähköpostiosoite verkkotunnuksessa ksu.edu.sa
Nimike
Viittaukset
Viittaukset
Vuosi
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
7422019
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
7362016
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
3542007
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
3432017
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
3112021
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
2842021
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
2202012
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
2122008
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
2092018
Approximate reasoning with generalized orthopair fuzzy sets
RR Yager, N Alajlan
Information Fusion 38, 65-73, 2017
2022017
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
1822016
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
1792021
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
1622017
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
1622013
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
1412014
Detail preserving impulsive noise removal
N Alajlan, M Kamel, E Jernigan
Signal processing: image communication 19 (10), 993-1003, 2004
1412004
Aspects of generalized orthopair fuzzy sets
RR Yager, N Alajlan, Y Bazi
International Journal of Intelligent Systems 33 (11), 2154-2174, 2018
1122018
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
1092012
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
912019
Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media
H Guo, X Zhuang, P Chen, N Alajlan, T Rabczuk
Engineering with Computers 38 (6), 5173-5198, 2022
852022
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Artikkelit 1–20