Muhammad Attique khan
Muhammad Attique khan
Lecturer, Department of Computer Science, HITEC University Taxila
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Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
M Sharif, MA Khan, Z Iqbal, MF Azam, MIU Lali, MY Javed
Computers and electronics in agriculture 150, 220-234, 2018
An automated detection and classification of citrus plant diseases using image processing techniques: A review
Z Iqbal, MA Khan, M Sharif, JH Shah, MH ur Rehman, K Javed
Computers and electronics in agriculture 153, 12-32, 2018
A framework for offline signature verification system: Best features selection approach
M Sharif, MA Khan, M Faisal, M Yasmin, SL Fernandes
Pattern Recognition Letters 139, 50-59, 2020
An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach
M Nasir, M Attique Khan, M Sharif, IU Lali, T Saba, T Iqbal
Microscopy research and technique 81 (6), 528-543, 2018
A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection
M Sharif, MA Khan, T Akram, MY Javed, T Saba, A Rehman
EURASIP Journal on Image and Video Processing 2017 (1), 1-18, 2017
License number plate recognition system using entropy‐based features selection approach with SVM
MA Khan, M Sharif, MY Javed, T Akram, M Yasmin, T Saba
IET Image Processing 12 (2), 200-209, 2018
An implementation of optimized framework for action classification using multilayers neural network on selected fused features
MA Khan, T Akram, M Sharif, MY Javed, N Muhammad, M Yasmin
Pattern Analysis and Applications 22 (4), 1377-1397, 2019
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
MA Khan, T Akram, M Sharif, M Awais, K Javed, H Ali, T Saba
Computers and electronics in agriculture 155, 220-236, 2018
Automated ulcer and bleeding classification from WCE images using multiple features fusion and selection
A Liaqat, MA Khan, JH Shah, M Sharif, M Yasmin, SL Fernandes
Journal of Mechanics in Medicine and Biology 18 (04), 1850038, 2018
Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
T Saba, MA Khan, A Rehman, SL Marie-Sainte
Journal of medical systems 43 (9), 1-19, 2019
Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection
MA Khan, IU Lali, A Rehman, M Ishaq, M Sharif, T Saba, S Zahoor, ...
Microscopy research and technique 82 (6), 909-922, 2019
Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images
MI Sharif, JP Li, MA Khan, MA Saleem
Pattern Recognition Letters 129, 181-189, 2020
Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection
M Sharif, U Tanvir, EU Munir, MA Khan, M Yasmin
Journal of Ambient Intelligence and Humanized Computing, 1-20, 2018
An implementation of normal distribution based segmentation and entropy controlled features selection for skin lesion detection and classification
MA Khan, T Akram, M Sharif, A Shahzad, K Aurangzeb, M Alhussein, ...
BMC cancer 18 (1), 1-20, 2018
An optimized method for segmentation and classification of apple diseases based on strong correlation and genetic algorithm based feature selection
MA Khan, MIU Lali, M Sharif, K Javed, K Aurangzeb, SI Haider, ...
IEEE Access 7, 46261-46277, 2019
Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning
M Raza, M Sharif, M Yasmin, MA Khan, T Saba, SL Fernandes
Future Generation Computer Systems 88, 28-39, 2018
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
M Rashid, MA Khan, M Sharif, M Raza, MM Sarfraz, F Afza
Multimedia Tools and Applications 78 (12), 15751-15777, 2019
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features
T Akram, MA Khan, M Sharif, M Yasmin
Journal of Ambient Intelligence and Humanized Computing, 1-20, 2018
Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
MA Khan, T Akram, M Sharif, T Saba, K Javed, IU Lali, UJ Tanik, ...
Microscopy research and technique 82 (6), 741-763, 2019
Multi-model deep neural network based features extraction and optimal selection approach for skin lesion classification
MA Khan, MY Javed, M Sharif, T Saba, A Rehman
2019 international conference on computer and information sciences (ICCIS), 1-7, 2019
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