JOURNAL PUBLICATIONS
Mitotic Nuclei Analysis in Breast Cancer Histopathology Images using Deep Ensemble Classifier
A. Sohail, A. Khan, H. Nisar, S. Tabassum, and A. Zameer
Medical Image Analysis, Vol 72 (2021): 102121, Elsevier Science
Zero-day Ransomware Attack Detection using Deep Contractive Autoencoder and Voting based Ensemble Classifier
U. Zahoora, M. Raja Rajan, Z. Pan, and A. Khan
https://doi.org/10.1007/s10489-022-03244-6, Applied Intelligence, Springer, 2022
Drone Navigation Using Region and Edge Exploitation-Based Deep CNN
M. A. Arshad, S. H. Khan, S. Qamar, M. W. Khan, I, Murtaza, J. Gwak, and A. Khan
IEEE Access, 2022
Ransomware Detection using Deep Learning based Unsupervised Feature Extraction and a Cost Sensitive Pareto Ensemble Classifier
U. Zahoora, A. Khan, M. Rajarajan, S. H. Khan, M. Asam, T. Jamal
Nature Scientific Reports, 2022
A two-stage stacked ensemble intrusion detection system using five base classifiers and MLP with optimal feature selection
E. Mushtaq, A. Zameer., and A. Khan
Microprocessors and Microsystems, 2022
Attention guided multi-scale deep object detection framework for lymphocyte analysis in IHC histology images
Z. rauf, A. Sohail, S. H. Khan, J. Gwak, M. Maqbool, and A. Khan
Microscopy, Oxford Press, 2022
IoT malware detection architecture using a novel channel boosted and squeezed CNN
M. Asam, S. H. Khan, A. Akbar, S. Bibi, T. Jamal, U. Ghafoor, M. R. Bhutta, and A. Khan
Nature Scientific Reports, 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking with Island Policy-based Optimization Framework
S. Qamar, S. H. Khan, A. Arshad, M. Qamar, J. Gwak, and A. Khan
IEEE Access, 2022
Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning
M. Asam, S. J. Hussain, M. Mohatram, S. H. Khan, T.Jamal, A. Zafar, M. U.Ali, U. Zahoora, and A. Khan
Applied Sciences, 2021, 11(21), 10464
Malaria Parasite Classification Framework using a Novel Channel Squeezed and Boosted CNN
S. H. Khan, N. S. Shah, R. Nuzzat, A. Majid, A. Hani, and A. Khan
Microscopy, Oxford Press, 2022
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI
M. M. Zahoor, S. A. Qureshi, S. Bibi, S. H. Khan, U. Ghafoor, M. R. Bhutta, and A. Khan
DOI: 10.3390/s22072726, Sensors, 2021
A novel dual-channel brain tumor detection system for MR images using dynamic and static features with conventional machine learning techniques
M. M. Zahoor, S. A. Qureshi, A ul Rehman, M. Rafique, and A. Khan
Waves in Random and Complex Media, Taylor & Francis, https://doi.org/10.1080/17455030.2022.2070683
COVID-19 Detection in Chest X-ray Images Using a New Channel Boosted CNN
A. Khan, A. Sohail, U. Zahoora, and A. S. Qureshi
Diagnostics; 2022, 12(2), 267, DOI:10.3390/diagnostics,12020267
Reverse Image Search Using Deep Unsupervised Generative Learning and Deep Convolutional Neural Network
A. Kiran, S. A. Qureshi, S. Mahmood, M. Idrees, A. Saeed, M. Assam, M. R. A. Refaai, A. Mohamed, and A. Khan
Applied Sciences, 2022
COVID-19 Detection in Chest X-ray Images using Deep Boosted Hybrid Learning
S. H. Khan, A. Sohail, A. Khan; M. Hassan, Y. S. Lee, J. Alam, A. Basit, S. Zubair, and A. Khan
Computers in Biology and Medicine, 104816, 2021
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
S. Hussain, A. Sohail, M. Mohsin, and A. Khan
Photodiagnosis and Photodynamic Therapy, 102473, 2021
Detection of Tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN
M. Zafar, Z. rauf, A. Sohail, S. H. Khan, Y. S. Lee, and A. Khan
Photodiagnosis and Photodynamic Therapy 37 (2022): 102676
Traffic Flow Management of Autonomous Vehicles using Platooning and Collision Avoidance Strategies
A. Mushtaq, I. U. Haq, W. U. Nabi, O. Shafiq, and A. Khan
Electronics, Electronics 10, no. 10: 1221, MDPI, 2021
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
A. Khan, A. Sohail, U. Zahoora, and A. S. Qureshi
Artificial Intelligence Review, accepted 2020; (arXiv:1901.06032 [cs.CV])
Multifaceted fused-CNN based scoring of breast cancer whole-slide histopathology images
N. Wahab, and A. Khan
Applied Soft Computing, 97, Elsevier Sciences, 106808, 2020
Deep Convolutional Neural Network and Emotional Learning based Breast Cancer Detection using Digital Mammography
N. Chauhan, M. W. Khan, J. Shah, and A. Khan
Computers in Biology and Medicine, 104318, 2021
Traffic Flow Management of Autonomous Vehicles using Deep Reinforcement Learning and Smart Rerouting
A. Mushtaq, Irfanul Haq, M. Usman, O. Shafiq, and A. Khan
IEEE Access 9 (2021): 51005-51019
A Multi-Phase Deep CNN based Mitosis Detection Framework for Breast Cancer Histopathological Images
A. Sohail, Noorul Wahab, S. Khan, A. Zameer, and A. Khan
Nature, Scientific Reports 11, no. 1 (2021): 1-18
A Recent Survey on the Applications of Genetic Programming in Image Processing
A. S. Qureshi, Noorul Wahab, M. Hussain, M. Y. Hamza, and A. Khan
Computational Intelligence, 12459, 2021
Mitosis Detection in Breast Cancer Histopathology Images Using Hybrid Feature Space
N. Maroof, A. Khan, S. A. Qureshi, A. ul Rehman, R. K. Khalil, and S. O. Shim
Photodiagnosis and Photodynamic Therapy (2020): 101885
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks
S. H. Khan, A. Sohail, Y. S. Lee, and A. Khan
arXiv preprint arXiv:2009.08864, 2020
Network Anomaly Detection using Channel Boosted and Residual Learning based Deep Convolutional Neural Network
N. Chauhan, A. Khan, and H. U, Rashid
accepted in Applied Soft Computing, Elsevier Sciences, 2019
Multifaceted fused-CNN based integrated scoring system for breast cancer histopathology whole slide images Pattern Recognition
N. Wahab and A. Khan
accepted in Pattern Recognition, 2019
Wind Power Prediction using a Three Stage Genetic Ensemble and Auxiliary Predictor
F. Shahid, A. Z. Jafery, J. Hassan, K. Safdar, and A. Khan
Applied Soft Computing, Elsevier Sciences, 2020
Coronavirus Disease Analysis using Chest X-ray Images and a Novel Deep Convolutional Neural Network
S. Hussain, et al., A. Khan
ResearchGate preprint, April 14 2020, DOI: 10.13140/RG.2.2.35868.64646
Ransomware Analysis using Feature Engineering and Deep Neural Networks
A. Ashraf, A. Aziz, U. Zahoora, and A. Khan
arXiv preprint arXiv:1910.00286 (2019)
Wind Speed Prediction using Deep Ensemble Learning with a Jet-like Architecture
A. S. Qureshi, A. Khan
preprint 2020, arXiv:2002.12592
Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains
A. S. Qureshi and A. Khan
Computational Intelligence, 2019
A Recent Survey on the Applications of Genetic Programming in Image Processing
A. Khan, A. S. Qureshi, N. Wahab, M. Hussain, and M. Y. Hamza
arXiv:1901.07387[cs.CV], 2019
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry
U. Ahmed, A. Khan, S. H. Khan, A. Basit, I. U. Haq, and Y. S. Lee
arXiv:1901.06091[cs.LG], 2019
Low Complexity Versatile Video Coding for Traffic Surveillance System
Zhaoqing Pan, He Qin, Xiaokai Yi, Yuhui Zheng, A. Khan
Nature, Scientific reports, in press, 2018
Cartography of rhodopsin-like G protein-coupled receptors across vertebrate genomes
M. Rinne, Z. U. Rehman, A. Khan, H. Xhaard
Nature, Scientific reports, in press, 2018
Transfer Learning based deep CNN for segmentation and detection of mitoses in breast cancer histopathological images
N. Wahab, A. Khan, and Y. S. Lee
Microscopy, Oxford Press, 2109
Analysis of tuberculosis disease through Raman spectroscopy and machine learning
S. Khan, R. Ullah, S. Shahzad, N. Anbreen, M. Bilal, and A. Khan
Photodiagnosis and Photodynamic Therapy,24(2018)286-291
Bio-inspired Heuristics for Layer Thickness Optimization in Multilayer Piezoelectric Transducer for Broadband Structures
Aneela Zameer, Mohsin Majeed, M Sikander M., Muhammad Asif Zahoor Raja, Asifullah Khan, N.M. Mirza
Soft Computing, 2018
Intrusion detection using deep sparse auto-encoder and self-taught learning
A.S. Qureshi, A. Khan, N. Shamim, and H. Durad
to appear in NCCA, 2018
Raman Spectroscopy based Analysis of Milk using Random Forest Classification
A. Amjad, S. Khan, M. Bilal, and A. Khan
to appear in Vibrational Spectroscopy, 2018
Bio-inspired computational heuristics for Sisko fluid flow and heat transfer models
A. Khan
Applied Soft Computing, accepted in Applied Soft Computing, 2018
A New Channel Boosted Convolutional Neural Network using Transfer Learning
A. Khan, A. Sohail, and A. Ali
arXiv:1804.08528v3 [cs.CV], 2018
Multi-Dimensional Scaling based grouping of known complexes and intelligent protein complex detection
Z. U. Rehman, A. Idris, and A. Khan
Computational biology and chemistry, 74, 149-156, 2018
Analysis of hepatitis C infection using Raman spectroscopy and proximity based classification in transformed domain
Anabia Sohail, Saranjam Khan, Rahat Ullah, Shahzad Ahmad Qureshi, Muhammad Bilal, and Asifullah Khan
Biomedical Optics Express, 2018
Protection of Medical Images and Patient Related Information in Healthcare Using an Intelligent and Reversible Watermarking Technique
M. Arsalan, A.S. Qureshi, ,A. Khan, and M. Rajarajan
Applied Soft Computing, 2017, http://dx.doi.org/10.1016/j.asoc.2016.11.044
Robust Hidden Markov Model Based Intelligent Blood Vessel Detection of Fundus Images
M. Hassan, Iqbal Murtaza, A. Chaudhary, and A. Khan
Accepted in Computer Methods and Programs in Biomedicine, 2017
Optical Screening of Nasopharyngeal Cancer Using Raman Spectroscopy and Support Vector Machine
S. Khan, R. Ullah, S. Shahzad, S. Javaid, and A. Khan
Accepted in Optik - International Journal for Light and Electron Optics, 2017
Object Detection Using Hybridization of Static and Dynamic Feature Spaces and its Exploitation by Ensemble Classification
I. Murtaza, A. Khan, N. Akhter
Accepted in Neural Computing and Applications, 2017
Fuel Loading Pattern Optimization of a Pressurized Water Reactor Using Varying Internal Weights Based Particle Swarm Optimization
A. Khan
Accepted in Nuclear Science and Techniques, 2017
Wind Power Prediction Using Deep Neural Network Based Meta Regression and Transfer Learning
A. Khan
Accepted in Applied Soft Computing, 2017
Random Forest Based Evaluation of Raman Spectroscopy for Dengue Fever Analysis
S. Khan, R. Ullah, A. Khan, A. Sohail, N. Wahab, M. Bilal, M. Ahmed
Accepted in Applied Spectroscopy, 2017
Two-phase Deep Convolutional Neural Network for Reducing Class Skewness in Histopathological Images Based Breast Cancer Detection
N. Wahab, A. Khan, and Y. S. Lee
Accepted in Computers in Biology and Medicine, 2017
Intelligent and Robust Prediction of Short term Wind Power Using Genetic Programming Based Ensemble of Neural Networks
A. Zameer, J. Arshad, A. Khan, and M. A. Z. Raja
vol. 134, pp. 361-372, Energy Conversion and Management, 2017
High Capacity Reversible Image Watermarking Using Error Expansion and Context Dependent Embedding
A. Sidiqua, A. Khan
vol. 51(13), pp. 985-987, Electronics Letters, IET, 2015
Analysis of Dengue Infection Based on Raman Spectroscopy and Support Vector Machine (SVM)
S. Khan, R. Ullah, A. Khan, N. Wahab, M. Bilal, M. Ahmed
Biomedical Optics Express, 7(6): 2249-2256, 2016
Infant Gender Based Differentiation in Concentration of Milk Fats Using Near Infrared Raman Spectroscopy
R. Ullah, S. Khan, A. Khan, M. Saleem, H. Ali, M. Bilal, and M. Mushtaq
Accepted in Journal Of Raman Spectroscopy, 2016
Robust Image Watermarking Technique using Triangular Regions and Zernike Moments for Quantization Based Embedding
S. Munib, and A. Khan
Multimedia Tools and Applications, doi: 10.1007/s11042-016-3485-0
Image Denoising Using Noise Ratio Estimation, K-Means Clustering and Non-Local Means Based Estimator
A. Khan, M. Waqas, M. Rizwan, S-O. Shim, S. Alshomrani, and A. Altalhi
doi:10.1016/j.compeleceng.2015.12.019, Journal of Computers and Electrical Engineering, 2016
Cortex-Inspired Multilayer Hierarchy Based Object Detection System Using PHOG Descriptors and Ensemble Classification
I. Murtza, D. Abdullah, A. Khan, M. Arif, S. M. Mirza
doi: 10.1007/s00371-015-1155-2 ,The Visual Computer, 2015
Churn Prediction System for Telecom Using Filter-Wrapper and Ensemble Classification
A. Idris, and A. Khan
Accepted in The Computer Journal, Oxford Press, 2016, doi: 10.1093/comjnl/bxv123
Automated Colon Cancer Detection Using Hybrid of Novel Geometric Features and Some Traditional Features
S. Rathore, M. Hussain, and A. Khan
Computers in Biology and Medicine, Vol 65 (1), pp. 279-296, 2015
Robust Segmentation and Intelligent Decision System for Cerebrovascular Disease
A. Chaudhary, M. Hassan, and A. Khan
Accepted in Medical & Biological Engineering & Computing, 2015, 10.1007/s11517-016-1481-1
Multi-Denoising Based Impulse Noise Removal from Images Using Robust Statistical Features and Genetic Programming
S.G. Javed, A. Majid, A. M. Mirza, A. Khan
Multimedia Tools and Applications 01/2015; doi:10.1007/s11042-015-2554-0
Protein Subcellular Localization of Fluorescence Microscopy Images: Employing New Statistical and Texton Based Image Features and SVM based Ensemble Classification
M. Tahir, and A. Khan
Information Sciences, vol. 345, pp.65-80, 2016
Activity Recognition in Smart Homes with the Capability of Self Verification of Assignment
L. G. Fahad, A. Khan, and M. Rajarajan
vol. 149(C), pp. 1286-1298, Neurocomputing, 2015
Machine Learning Based Short Term Wind Power Prediction Using a Hybrid Learning Model
Najeebullah, A. Zameer, A. Khan, S. G. Javed
Journal of Computers and Electrical Engineering, DOI: 10.1016/j.compeleceng.2014.07.009, 2014
GECC: Gene Expression Based Ensemble Classification of Colon Biopsies Samples
S. Rathore, M. Hussain, and A. Khan
IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11 (6), pp.1131-1145, 2014
Robust Fuzzy RBF Network Based Image Segmentation and Intelligent Decision Making System for Carotid Artery Ultrasound Images
J. Alam, M. Hassan, A. Khan, A. Chaudhry
Neurocomputing, vol. 151, pp. 745-755, 2015
IDM-PhyChm-Ens: Intelligent Decision Making System for Human Breast Cancer Using Physicochemical Properties of Amino Acids and Ensemble Classifier
S. Ali, A. Majid, and A. Khan
Amino Acids, vol 46(2), pp.977-993, 2014
A Recent Survey of Reversible Watermarking Techniques
A. Khan, A. Siddiqa, S. Munib, and S. A. Malik
vol.279, pp.251-272, 2014
PaperClustering Using Local and Global Exponential Discriminant Regularization
N. Ahmed, A. Jalil, and A. Khan
Accepted in Journal of Information Science and Engineering, 2014
DNA-LCEB: A High Capacity and Mutation Resistant DNA Data-Hiding Approach by Employing Hybrid Twofold and Fourfold Codons Based Strategy for Synonymous Substitution in Amino Acids
I. Hafiz, A. Khan, A. Qadir
Accepted in Medical & Biological Engineering & Computing, 2014, DOI:10.1007/s11517-014-1194-2
Robust Information Gain Based Fuzzy C-Means Clustering and Classification of Carotid Artery Ultrasound Images
M. Hassan, A. Chaudhry, A. Khan, and A. Iftikhar
Computer Methods and Programs in Biomedicine, vol.113, pp.593-609, 2014
Genetic Algorithm and Difference Expansion Based Reversible Watermarking for Relational Databases
K. Jawad, and A. Khan
Journal of Systems and Software, vol.86, pp.2742-2753, 2013
Automatic Carotid Artery Image Segmentation using Snake Based Model
A. Chaudhry, M. Hassan, A. Khan, Jin Y.Kim, T. A. Tuan
Journal of Korean Navigation Institute, 17(1), pp.115-122, 2013
Protein Subcellular Localization in Human and Hamster cell lines: Employing Local Ternary Patterns of Fluorescence Microscopy Images
M. Tahir, A. Khan, H. Kaya
Journal of theoretical biology, vol.340, pp.85-95, 2013
A High Capacity Reversible Watermarking Approach for Authenticating Images: Exploiting Down-Sampling, Histogram Processing, and Block Selection
M. Kamran, A. Khan, and S. A. Malik
Information Sciences, vol.256, pp.162-183, 2014
MitProt-Pred: Predicting Mitochnodrial Proteins of Plasmodium Falciparam Parasite Using Diverse Physiochemical Properties and Ensemble Classification
M. T. Mirza, A. Khan, M. Tahir, and Y. S. Lee
Computers in Biology and Medicine, 43(10), pp.1502-1511, 2013
A Recent Survey on Colon Cancer Detection Techniques
S. Rathore, M. Hussain, A. Ali, and A. Khan
IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10(3), pp.545-563, 2013
PaperWRF-TMH: Predicting Transmembrane Helix by Fusing Composition Index and Physicochemical Properties of Amino Acid
M. Hayat, and A. Khan
Amino Acids, 44(5), pp.1317-1328, 2013
Dual-Purpose Semi-Fragile Watermark: Authentication and Recovery of Digital Images
R. Chamlawi, S. A. Malik, A. Khan
Computers & Electrical Engineering, 39(7), pp.2019-2030, 2013
Intelligent Churn Prediction in Telecom: Employing mRMR feature selection and RotBoost based Ensemble Classification
A. Idrees, A. Khan, Y. S. Lee
39(3), pp.659-672, Applied Intelligence, 2013
Authentication of Images for 3D Cameras: Reversibly Embedding Information Using Intelligent Approaches
S. A. Malik, A. Khan, M. Hussain, K. Jawad, R. Chamlawi, and A. Jalil
Journal of Systems and Software, vol. 85(11), pp. 2665-2673, 2012
Automatic Active Contour Based Segmentation and Classification of Carotid Artery Ultrasound Images
A. Chaudhry, M. Hassan, A. Khan, J. Y. Kim
Journal of digital imaging, 26(6), pp.1071-1081, 2013
Intelligent Image Restoration Approach: Using Neural Networks to Eradicate Dilemma in Punctual Kriging
A. Chaudhry, A. Khan, J. Y. Kim, Neuro Fuzzy, and Q.Q. Nill
Life Science Journal, 10(1), pp.1631-1641, 2013
Neuro Fuzzy and Punctual Kriging Based Filter for Image Restoration
A. Chaudhry, A. Khan, A. M. Mirza, A. Ali, and J. Y. Kim
Applied Soft Computing, vol. 13, pp. 817-832, 2013
Fluorescence Microscopy Image Classification Using an Efficient Feature Extraction and Data Balancing Technique
M. Tahir, A. Khan, A. Majid, and A. Lumini
Accepted In Applied Soft Computing, 2012
Suppression of Challenges in Punctual Kriging Based Image Denoising Using Neural Networks
A. Chaudhry, A. Khan, J. Y. Kim
Archives Des Sciences, 6(10),pp. 455-474, 2012
Prediction of Membrane Protein Types by Using Dipeptide and Pseudo Amino Acid Composition Based Composite Features
M. Hayat, and A. Khan
IET Communications, vol. 6 (18), pp. 3257- 3264, 2012
Identifying GPCRs and Their Types with Chou Pseudo Amino Acid Composition: An Approach from Multi-Scale Energy Representation and Position Specific Scoring Matrix
Z. U. Rehman, A. Khan
Accepted in Protein and Peptide Letters, , Volume 19, Number 8, August 2012 , pp. 890-903(14)
Stabilized Active Camera Tracking System
J. Ahmed, A. Ali, A. Khan
Accepted in Journal of Real-Time Image Processing, Springer-Verlag, 2012, DOI: 10.1007/s11554-012-0251-z
Churn Prediction in Telecommunication Using Random Forest and PSO Based Data Balancing in Combination with Various Features Selection Strategies
A. Idrees, M. Rizwan, and A. Khan
Computers and Electrical Engineering, http://dx.doi.org/10.1016/j.compeleceng.2012.09.001
Predicting G Protein-Coupled Receptors Families Using Different Physiochemical Properties and Pseudo Amino Acid Composition
A. Khan, M. T. Mirza, Z. U. Rehman, H. Xhaard
Accepted in Methods in Enzymology, Elsevier Science, 2012
Prediction of Membrane Proteins Using Split Amino Acid and Ensemble Classification
M. Hayat, A. Khan, and M. Yeasin
Amino Acids: Volume 42, Issue 6 (2012), Page 2447-2460
MemHyb: Predicting membrane protein types by hybridizing SAAC and PSSM
M. Hayat, A. Khan
Journal of Theoretical Biology, Vol 292, pp. 93-102, 2012
CE-Ploc: An ensemble classifier for predicting protein subcellular locations by fusing different modes of pseudo amino acid composition
M. Khan, A. Majid, M. Hayat, and A. Khan
Computational Biology and Chemistry, 35 (6), pp. 218-229, 2011
Protein Subcellular Localization of Fluorescence Imagery Using Spatial and Transform Domain Features
M. Tahir, A. Khan, and A. Majid
Bioinformatics, 28 (1), pp. 91-97, 2012
PaperIntelligent Reversible Watermarking and Authentication: Hiding Depth Map Information for 3D Cameras
A. Khan, S. A. Malik, A. Ali, R. Chamlawi, M. Hussain, M. T. Mahmood and I. Usman
Information Sciences, 216, pp.155-175, 2012
Discriminating Outer Membrane Proteins with Fuzzy K-nearest Neighbor Algorithms Based on the General form of Chou’s PseAAC
M. Hayat, and A. Khan
Protein and Peptide Letters, BSP/PPL/E-Pub/00430, 18 (12), 2011
Digital Image Authentication and Recovery: Exploiting Integer Transform Based Information Embedding and Extraction
R. Chamlawi, and A. Khan
Information Sciences, 180 (2010) 4909-4928, 2010
Mem-P Hybrid: Hybrid Features Based Prediction System for Classifying Membrane Protein Types
M. Hayat, and A. Khan
Analytical Biochemistry, 2012 Feb 14;424(1):35-44
CE-Ploc: A Novel Diversity Based Fusion of Classifiers for Predicting Protein Subcellular Locations
A. Khan, A. Majid, and M. Hayat
Computational Biology and Chemistry, 35 (6), pp. 218-229, 2011
Carotid Artery Image Segmentation Using Modified Spatial Fuzzy C-Means and Ensemble Clustering
M. Hassan, A. Chaudry, A. Khan
vol. 108(3), pp.1261-1276, 2012
Intelligent Reversible Watermarking in Integer Wavelet Domain for Medical Images
M. Arsalan, S. A. Malik, and A. Khan
Journal of Systems and Software, 8 (4), 883-894, 2012
GPCR-MPredictor: Multi-Level Prediction of G Protein-Coupled Receptors Using Genetic Ensemble
M. Naveed, and A. Khan
Amino Acids (2012) 42(5):1809-1823
GPCR Prediction Using Pseudo Amino Acid Composition and Multi-Scale Energy Representation of Different Physiochemical Properties
Z. U. Rehman, A. Khan
Analytical Biochemistry, 412 (2011) 173-182
MemHyb: Predicting Membrane Protein Types by Hybridizing SAAC and PSSM into the General Form of PseAAC
M. Hayat, and A. Khan
Journal of Theoretical Biology, Vol 292, pp. 93-102, 2011
PaperPredicting Lattice Constant of Complex Cubic Perovskites Using Computational Intelligent Approaches
A. Majid, A. Khan, and Tae-Sun Choi
Computational Materials Science, 50(6), pp.1879-1888, 2011
Mito-GSAAC: Mitochondria Prediction Using Genetic Ensemble Classifier and Split Amino Acid Composition
T. H. Afridi, A. Khan, and Y. S. Lee
Amino Acids (2012) 42(4):1443-1454, (impact factor: 3.248)
Prediction of GPCRs Using Hybrid Features and Grey Incidence Degree Measure
Z. U. Rehman, A. Khan
Protein and Peptide Letter, 18(9), pp.872-878, 2011
Predicting Membrane Protein Types by Fusing Composite Protein Sequence Features into Pseudo Amino Acid Composition
M. Hayat, and A. Khan
Journal of Theoretical Biology, 271 (2011), pp. 10-17
BCH Coding and Intelligent Watermark Embedding: Employing both Frequency and Strength Selection
I. Usman, and A. Khan
Applied Soft Computing Journal vol. 10 (1), pp. 332-343, 2010
Reversible Watermarking Method Based on Adaptive Thresholding and Companding Technique
N. A. Memon, A. Khan, S. A. M. Gilani and M. Ahmed
International Journal of Computer Mathematics, 88(8),pp.1573-1594,2011
Lattice Constant Prediction of Cubic and Monoclinic Perovskites Using Neural Networks and Support Vector Regression
A. Majid, A. Khan, G. Javed, A. M. Mirza
Computational Materials Science, 50(2), pp. 363-372, 2010
Predicting Protein Subcellular Location: Exploiting Amino Acid Based Sequence of Feature Spaces and Fusion of Diverse Classifiers
A. Khan, A. Majid, and Tae-Sun Choi
Amino Acids, vol. 38, pp. 347-350, 2010
Authentication and Recovery of images Using Multiple Watermarks
R. Chamlawi, A. Khan, and Imran Usman
Computers and Electrical Engineering, 36, pp. 578-584, 2010, (impact factor: 0.475)
Employing Intelligence in the Embedding and Decoding Stages of a Robust Watermarking System
I. Usman, A. Khan, and R. Chamlawi
International Journal of Electronics and Communications, 65(2011), 582-588
A Nonlinear Transform Based Three Dimensional Shape Recovery from Image Focus
A. Khan, M. Tariq, and Tae-Sun Choi
International Journal of Pattern Recognition and Artificial Intelligence, 24 (5), pp. 719-736, 2010
Correlating Dynamical Mechanical Properties with Temperature and Clay Composition of Polymer-Clay Nanocomposites
A. Khan, M. H. Shamsi, and Tae-Sun Choi
Computational Materials Science, 45 (2), pp. 257-265, 2009
Approximating 3D Shape through Bezier Curve and Moments in Discrete Cosine Transform
M. Tariq Mahmood, A. Khan, and Tae-Sun Choi
International Journal of Innovative Computing, Information and Control (IJICIC), vol. 5 (10), 2009
Reversible Watermarking Based on Intelligent Coefficient Selection and Integer Wavelet Transform
Imran Usman, A. Khan, Asad Ali, and Tae-Sun Choi
International Journal of Innovative Computing, Information and Control (IJICIC),vol. 5 (12), 2009
Machine Learning Based Adaptive Watermark Decoding in View of an Anticipated Attack
A. Khan, S. F. Tahir, A. Majid, and Tae-Sun Choi
Pattern Recognition, Elsevier Science, 41, pp. 2594-2610, 2008
PaperIntelligent Extraction of a Digital Watermark from a Distorted Image
A. Khan, S. F. Tahir, and Tae-Sun Choi
IEICE TRANS. INF. & SYST., Vol.E91-D, No.7, pp.2072-2075, Jul. 2008
Proximity Based GPCRs Prediction in Transform Domain
A. Khan, M. F. Khan, and Tae-Sun Choi
Biochemical and Biophysical Research Communications, 24 April, 371(3) pp.411-415, 2008
Predicting Regularities in Lattice Constants of GdfeO3-type Perovskites
A. Khan, and S. J. Javed
Acta Crystallographica,B64, pp.120-122, 2008
A Hybrid Image Restoration Approach: Using Fuzzy Punctual Kriging and Genetic Programming
A. Chaudhry, A. Khan, A. Ali and Anwar M. Mirza
International Journal of Imaging Systems and Technology, John Wiley & Sons, vol. 17, no. 4, pp. 224-231, 2007
Wavelet Based Image Authentication and Recovery
R. Chamlawi, A. Khan, and A. Idris
Journal of Computer Science and Technology, Springer Verlag, vol. 22, no. 6, pp. 795-804, 2007
Lattice Constant Prediction of orthorhombic ABO3 Perovskites Using Support Vector Machines
J. Javed, A. Khan, A. Majid, A. M. Mirza, and J.Bashir
Computational Materials Science, Elsevier Science, vol. 39, no. 3, pp. 627-634, 2007
Genetic Perceptual Shaping: Utilizing Cover Image and Conceivable Attack Information Using Genetic Programming
A. Khan, and Anwar M. Mirza
Information Fusion, Elsevier Science , vol. 8, no. 4, pp. 354-365, 2007
PaperUsing Multi Level Nearest Neighbor Classifiers for G-protein Coupled Receptor Sub-Families Prediction
M. F. Khan, A. Khan, A. M. Khan, A. Kavokin
Bioinformatics Research and Applications, Lecture Notes in Computer Science (LNCS), vol. 4463, pp. 564-576, 2007
Image authenticity and perceptual optimization via genetic algorithm and a dependence neighborhood
I. Usman, A. Khan, R. Chamlawi, A. Majid
International Journal of Applied Mathematics and Computer Sciences, 4(1), 615-620, 2007
A Novel Approach to Decoding: Exploiting Anticipated Attack Information Using Genetic Programming
A. Khan
International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 10, no. 5, 2006, pp. 337-347
Intelligent Perceptual Shaping of a Digital Watermark: Exploiting Characteristics of Human Visual System
A. Khan, Anwar M. Mirza and A. Majid
International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 10, no. 3, 2006, pp. 213-223
PaperOptimizing Perceptual Shaping of a Digital Watermark Using Genetic Programming
A. Khan, A. M. Mirza, A, Majid
Iranian Journal of Electrical and Computer Engineering (IJECE), vol. 3, pp. 144-150, 2004
PaperCombination and Optimization of Classifiers in Gender Classification Using Genetic Programming
A. Khan, A. Majid, and Anwar M. Mirza
International Journal of Knowledge-Based Intelligent Engineering Systems, vol. 9, page 1-11, 2005
PaperCombining Support Vector Machines Using Genetic Programming
A. Majid, A. Khan, and Anwar M. Mirza
International Journal of Hybrid Intelligent Systems, vol. 3, No. 2, 2006, pp. 109-125
PaperDistortion Estimation in Digital Image Watermarking Using Genetic Programming
A. Khan, A. Majid, and Anwar M. Mirza
Transactions On Engineering, Computing And Technology, Vol. 15, pp. pp. 103- 108., Oct, 2006
Catalytic Reduction of NO with H2 on a Square Surface: A Monte Carlo Simulation Study
K. M. Khan, A. Khan
Journal of Physics: Condensed Matter, (impact factor: 1.9), vol.14, No. 34, (2002) 7919-7931
X-Ray Powder Diffraction Analysis of Crystal Structure of Lanthanum Orthovandate
J. Bashir, N. Iqbal, R. T. A. Khan, M. J. Akhtar, A. Khan, and C. A. Majid
The Nucleus, 38 (1) 2001, 1-5
Upgradation of the Triple Axis Neutron Spectrometer TKSN-400 Installed at PARR-1
J. Bashir, R. T. A. Khan, M. N. Khan, N. Iqbal, A. Waheed, A. Khan, and Q. Zaman
The Nucleus, 38 (1) 2001, 23-28