| A New Statistical Approach for Band Clustering and Band Selection Using K-Means Clustering M Ahmad, et. al. International Journal of Engineering and Technology 3 (6), 606-614, 2011 | 36 | 2011 |
| Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images M Ahmad, A Khan, AM Khan, M Mazzara, S Distefano, A Sohaib, ... Remote Sensing 11 (9), 1136, 2019 | 22 | 2019 |
| Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers M. Ahmad, S. Protasov, AM. Khan, R. Hussain, AM. Khattak, WA. Khan Plos one 13 (1), 2018 | 20 | 2018 |
| Gait Fingerprinting-based User Identification on Smartphones M Ahmad, et. al. 2016 International Joint Conference on Neural Networks (IJCNN), 3060-3067, 2016 | 19 | 2016 |
| Graph-based Spatial-Spectral Feature Learning for Hyperspectral Image Classification M Ahmad, AM Khan, R Hussain IET image processing, 2017 | 18 | 2017 |
| Using deep features for video scene detection and annotation S Protasov, AM Khan, K Sozykin, M Ahmad Signal, Image and Video Processing 12 (5), 991-999, 2018 | 16 | 2018 |
| Metric similarity regularizer to enhance pixel similarity performance for hyperspectral unmixing M Ahmad, et. al. Optik 140, 86–95, 2017 | 15 | 2017 |
| Hyperspectral remote sensing: Dimensional reduction and end member extraction M Ahmad, S Lee, IU Haq, Q Mushtaq International journal of soft computing and engineering 2 (2), 170-175, 2012 | 14 | 2012 |
| Segmented and non-segmented stacked denoising autoencoder for hyperspectral band reduction M Ahmad, MA Alqarni, AM Khan, R Hussain, M Mazzara, S Distefano Optik 180, 370-378, 2019 | 13 | 2019 |
| Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification M Ahmad, AM Khan, M Mazzara, S Distefano VISAPP'19, 2019 | 12 | 2019 |
| Unsupervised geometrical feature learning from hyperspectral data M Ahmad, et. al IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 12 | 2016 |
| Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification M Ahmad, S Shabbir, D Oliva, M Mazzara, S Distefano Optik 206, 163712, 2020 | 11 | 2020 |
| Formal analysis of steady state errors in feedback control systems using HOL-light O Hasan, M Ahmad 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2013 | 11 | 2013 |
| Linear unmixing and target detection of hyperspectral imagery using OSP M Ahmad, IU Haq proc. of IPCSIT 10, 179-183, 2011 | 11 | 2011 |
| AIK Method for Band Clustering Using Statistics of Correlation and Dispersion Matrix M Ahmad, I Ul Haq, Q Mushtaq 2011 International Conference on Information Communication and Management …, 2011 | 11 | 2011 |
| A reference architecture for smart and software-defined buildings M Mazzara, I Afanasyev, SR Sarangi, S Distefano, V Kumar, M Ahmad 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 167-172, 2019 | 9 | 2019 |
| Seeking optimum system settings for physical activity recognition on smartwatches M Ahmad, A Khan, M Mazzara, S Distefano Science and Information Conference, 220-233, 2019 | 7 | 2019 |
| Smartwatch-Based Legitimate User Identification for Cloud-Based Secure Services M Ahmad, MA Alqarni, A Khan, A Khan, S Hussain Chauhdary, ... Mobile Information Systems 2018, 2018 | 7 | 2018 |
| Formal verification of steady-state errors in unity-feedback control systems M Ahmad, O Hasan International Workshop on Formal Methods for Industrial Critical Systems, 1-15, 2014 | 6 | 2014 |
| Multiclass Non-Randomized Spectral–Spatial Active Learning for Hyperspectral Image Classification M Ahmad, M Mazzara, RA Raza, S Distefano, M Asif, MS Sarfraz, ... Applied Sciences 10 (14), 4739, 2020 | 5 | 2020 |
Adil Mehmood KhanProfessor, Innopolis UniversityDirección de correo verificada de innopolis.ru
