Tallha Akram
Tallha Akram
Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus
Потвърден имейл адрес: ciitwah.edu.pk - Начална страница
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, Elsevier 155, 220 - 236, 2018
Brain Tumor Detection and Classification: A Framework of Marker-based Watershed Algorithm and Multi-level Priority Features Selection
A MA, IUL Khan, R Amjad, I Mubashar, S Muhammad, T ..., Akram
Microscopy Research and Techniques, Wiley 1 (1), 1-31, 2019
Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization
MA Khan, M Sharif, T Akram, R Damaševičius, R Maskeliūnas
Diagnostics 11 (5), 811, 2021
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
MA Khan, T Akram, YD Zhang, M Sharif
Pattern Recognition Letters 143, 58-66, 2021
An Optimized Method for Segmentation and Classification of Apple Diseases based on Strong Correlation and Genetic Algorithm based Feature Selection
MA Attique, L Ikram, ..., T Akram
IEEE Access 1 (1), 1-31, 2019
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition
M Attique, M Sharif, T Akram, M Raza, T Saba, A Rehman
Applied Soft Computing, 105986, 2019
Prediction of COVID-19 - Pneumonia based on Selected Deep Features and One Class Kernel Extreme Learning Machine
MA Khan, S Kadry, Z Yu-Dong, T Akram, M Sharif, ...
Computer and Electrical Engineering 1 (2), 1-27, 2020
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, 1-18, 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 Automated System for Cucumber Leaf Diseased Spot Detection and Classification using Improved Saliency Method and Deep Features Selection
MA Khan, T Akram, M Sharif, K Javed, M Raza
Multimedia Tools and Applications 1 (1), 1-21, 2020
Developed Newton-Raphson based deep features selection framework for skin lesion recognition
MA Khan, M Sharif, T Akram, SAC Bukhari, RS Nayak
Pattern Recognition Letters 129, 293-303, 2020
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), 638, 2018
Lungs nodule detection framework from computed tomography images using support vector machine
SA Khan, M Nazir, MA Khan, T Saba, K Javed, A Rehman, T Akram, ...
Microscopy research and technique, Wiley, 2019
Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization an Classification
MA Khan, Z YuDong, M Sharif, T Akram
Computer and Electrical Engineering 1 (1), 1-20, 2021
Multi-Class Skin Lesion Detection and Classification via Teledermatology
MA Khan, K Muhammad, M Sharif, T Akram
IEEE Journal of Biomedical and Health Informatics 1 (1), 1-8, 2021
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, 1377-1397, 2019
Construction of Saliency Map and Hybrid Set of Features for Efficient Segmentation and Classification of Skin Lesion
K Muhammad, A, T Akram, M Sharif, T Saba, K Javed, I Lali, J Tanik, U, ...
Microscopy Research Techniques, Wiley 1 (1), 1-23, 2019
Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features
T Akram, K Muhammad, Attique, S Muhammad, Y Mussarat
Journal of Ambient Intelligence and Humanized Computing, Springer 1 (1), 1-20, 2018
LSTM neural network based forecasting model for wheat production in Pakistan
SA Haider, SR Naqvi, T Akram, GA Umar, A Shahzad, MR Sial, S Khaliq, ...
Agronomy 9 (2), 72, 2019
A Multilevel Features Selection Framework for Skin Lesion Classification
T Akram, HMJ Lodhi, SR Naqvi, S Naeem, M Alhaisoni, M Ali
Human-Centric Computing and Information Sciences 1 (1), 1-31, 2020
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