Muhammad Attique Khan

About

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Research Focus

Key Achievements

Top Papers

1. 1
   Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition

   154 citations · 2019
2. 2
   A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection

   153 citations · 2020
3. 3
   A resource conscious human action recognition framework using 26-layered deep convolutional neural network

   105 citations · 2020
4. 4
   Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning

   99 citations · 2018
5. 5
   Multi-Layered Deep Learning Features Fusion for Human Action Recognition

   51 citations · 2021
6. 6
   A robust autonomous navigation and mapping system based on GPS and LiDAR data for unconstraint environment

   25 citations · 2022
7. 7
   RETRACTED ARTICLE: Pedestrian identification using motion-controlled deep neural network in real-time visual surveillance

   18 citations · 2021
8. 8
   RETRACTED ARTICLE: A Fused Heterogeneous Deep Neural Network and Robust Feature Selection Framework for Human Actions Recognition

   10 citations · 2021
9. 9
   Traditional Features based Automated System for Human Activities Recognition

   5 citations · 2020
10. 10
    Correction to “An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection”

    3 citations · 2020

Key Collaborators