Naif Alajlan
Naif Alajlan
Professor of Computer Engineering, King Saud University
Verified email at
Cited by
Cited by
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
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), 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
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
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
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
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
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
Approximate reasoning with generalized orthopair fuzzy sets
RR Yager, N Alajlan
Information Fusion 38, 65-73, 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
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
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
Detail preserving impulsive noise removal
N Alajlan, M Kamel, E Jernigan
Signal processing: image communication 19 (10), 993-1003, 2004
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
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
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
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
Aspects of generalized orthopair fuzzy sets
RR Yager, N Alajlan, Y Bazi
International Journal of Intelligent Systems 33 (11), 2154-2174, 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
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
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