Asifullah Khan
Asifullah Khan
Department of Computer and Information Sciences, PIEAS, Pakistan
Verified email at - Homepage
Cited by
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A survey of the recent architectures of deep convolutional neural networks
A Khan, A Sohail, U Zahoora, AS Qureshi
Artificial Intelligence Review 53 (8), 5455-5516, 2020
A recent survey of reversible watermarking techniques
A Khan, A Siddiqa, S Munib, SA Malik
Information sciences 279, 251-272, 2014
Recent progress on generative adversarial networks (GANs): A survey
Z Pan, W Yu, X Yi, A Khan, F Yuan, Y Zheng
IEEE Access 7, 36322-36333, 2019
Wind power prediction using deep neural network based meta regression and transfer learning
AS Qureshi, A Khan, A Zameer, A Usman
Applied Soft Computing 58, 742-755, 2017
Discriminating outer membrane proteins with fuzzy K-nearest neighbor algorithms based on the general form of Chou's PseAAC
M Hayat, A Khan
Protein and peptide letters 19 (4), 411-421, 2012
Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
M Hayat, A Khan
Journal of Theoretical Biology 271 (1), 10-17, 2011
Intelligent reversible watermarking in integer wavelet domain for medical images
M Arsalan, SA Malik, A Khan
Journal of Systems and Software 85 (4), 883-894, 2012
Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks
A Zameer, J Arshad, A Khan, MAZ Raja
Energy conversion and management 134, 361-372, 2017
Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies
A Idris, M Rizwan, A Khan
Computers & Electrical Engineering 38 (6), 1808-1819, 2012
Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection
N Wahab, A Khan, YS Lee
Computers in biology and medicine 85, 86-97, 2017
Genetic perceptual shaping: Utilizing cover image and conceivable attack information during watermark embedding
A Khan, AM Mirza
Information fusion 8 (4), 354-365, 2007
Authentication and recovery of images using multiple watermarks
R Chamlawi, A Khan, I Usman
Computers & Electrical Engineering 36 (3), 578-584, 2010
Machine learning based adaptive watermark decoding in view of anticipated attack
A Khan, SF Tahir, A Majid, TS Choi
Pattern Recognition 41 (8), 2594-2610, 2008
A recent survey on colon cancer detection techniques
S Rathore, M Hussain, A Ali, A Khan
IEEE/ACM Transactions on computational biology and bioinformatics 10 (3 …, 2013
Genetic algorithm and difference expansion based reversible watermarking for relational databases
K Jawad, A Khan
Journal of Systems and Software 86 (11), 2742-2753, 2013
Identifying GPCRs and their types with Chou’s pseudo amino acid composition: An approach from multi-scale energy representation and position specific scoring matrix
A Khan
Protein and peptide letters 19 (8), 890-903, 2012
MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
M Hayat, A Khan
Journal of Theoretical Biology 292, 93-102, 2012
Lattice constant prediction of cubic and monoclinic perovskites using neural networks and support vector regression
A Majid, A Khan, G Javed, AM Mirza
Computational materials science 50 (2), 363-372, 2010
Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification
A Idris, A Khan, YS Lee
Applied intelligence 39 (3), 659-672, 2013
Prediction of membrane proteins using split amino acid and ensemble classification
M Hayat, A Khan, M Yeasin
Amino acids 42 (6), 2447-2460, 2012
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