Naif Alajlan
Naif Alajlan
Professor of Computer Engineering, King Saud University
Verified email at ksu.edu.sa
Title
Cited by
Cited by
Year
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
3082016
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
2712007
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
1692008
Detail preserving impulsive noise removal
N Alajlan, M Kamel, E Jernigan
Signal processing: image communication 19 (10), 993-1003, 2004
1322004
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
1292012
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
1192013
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
1152017
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
1102018
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
762019
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
722012
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
702016
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 Remoteá…, 2014
652014
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
562015
Fusion of extreme learning machine and graph-based optimization methods for active classification of remote sensing images
MA Bencherif, Y Bazi, A Guessoum, N Alajlan, F Melgani, H AlHichri
IEEE Geoscience and Remote Sensing Letters 12 (3), 527-531, 2014
562014
Multi-object image retrieval based on shape and topology
N Alajlan, MS Kamel, G Freeman
Signal Processing: Image Communication 21 (10), 904-918, 2006
532006
Approximate reasoning with generalized orthopair fuzzy sets
RR Yager, N Alajlan
Information Fusion 38, 65-73, 2017
472017
Dempster–Shafer belief structures for decision making under uncertainty
RR Yager, N Alajlan
Knowledge-Based Systems 80, 58-66, 2015
462015
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
432017
Decision making with ordinal payoffs under Dempster–Shafer type uncertainty
RR Yager, N Alajlan
International Journal of Intelligent Systems 28 (11), 1039-1053, 2013
412013
Detection of premature ventricular contraction arrhythmias in electrocardiogram signals with kernel methods
N Alajlan, Y Bazi, F Melgani, S Malek, MA Bencherif
Signal, Image and Video Processing 8 (5), 931-942, 2014
372014
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Articles 1–20