All Stories

  1. Optimal Prognostic Accuracy: Machine Learning Approaches for COVID-19 Prognosis with Biomarkers and Demographic Information

    Article • New Generation Computing, June 2024, Springer Science + Business Media

    Dr Fida Hussain

  2. Clinical predictions of COVID-19 patients using deep stacking neural networks

    Article • Journal of Investigative Medicine, November 2023, SAGE Publications

    Dr Fida Hussain

  3. Comparative Thermal Analysis of Carbon Nanotubes and Their Metal Composites with Copper and Aluminum as Winding Material in Induction Motor

    Article • Journal of Electrical Engineering and Technology, April 2022, Springer Science + Business Media

    Dr Fida Hussain

  4. Prognosis patients with COVID-19 using deep learning

    Article • BMC Medical Informatics and Decision Making, March 2022, Springer Science + Business Media

    Dr Fida Hussain

  5. Bidirectional LSTM with saliency-aware 3D-CNN features for human action recognition

    Article • Journal of Engineering Research, September 2021, Elsevier

    Dr Fida Hussain

  6. Prognosis Patients with COVID-19 using Deep Learning

    Article • February 2021, Research Square

    Dr Fida Hussain

  7. Model predictive control system based on direct yaw moment control for 4WID self-steering agriculture vehicle

    Article • International Journal of Agricultural and Biological Engineering, January 2021, International Journal of Agricultural and Biological Engineering (IJABE)

    Dr Fida Hussain

  8. Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis

    Article • Journal of Pure and Applied Microbiology, April 2020, Journal of Pure and Applied Microbiology

    Dr Fida Hussain, Hafiz M.N. Iqbal

  9. ARM-based Behavior Tracking and Identification System for Grouphoused Pigs

    Article • Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), November 2019, Bentham Science Publishers

    Dr Fida Hussain

  10. Deep Learning Techniques for Power Quality Events Monitoring and Classification

    Article • Electric Power Components and Systems, October 2019, Taylor & Francis

    Dr Fida Hussain, Sheikh Junaid Yawar

  11. Automatic Citrus Fruit Disease Detection by Phenotyping Using Machine Learning

    Article • September 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fida Hussain

  12. Model Predictive Control for Steering-less EV with four Independent Motors

    Article • September 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fida Hussain

  13. Real-Time Recognition and Tracing of Moving Objects in Video Images using Background Subtraction, Kalman Filter and Particle Filter

    Article • September 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fida Hussain

  14. Video Representation via Fusion of Static and Motion Features Applied to Human Activity Recognition

    Article • KSII Transactions on Internet and Information Systems, July 2019, Korean Society for Internet Information (KSII)

    Dr Fida Hussain

  15. Design and Development of a Novel Independent Wheel Torque Control of 4WD Electric Vehicle

    Article • Mechanika, July 2019, Publishing House Technologija

    Dr Fida Hussain

  16. Power Quality Disturbance Monitoring and Classification Based on Improved PCA and Convolution Neural Network for Wind-Grid Distribution Systems

    Article • Energies, April 2019, MDPI AG

    Dr Fida Hussain

  17. Classification of multiple power quality events via compressed deep learning

    Article • International Transactions on Electrical Energy Systems, March 2019, Wiley

    Dr Fida Hussain

  18. Comparison of Sick and Hokuyo UTM-30LX laser sensors in canopy detection for variable-rate sprayer

    Article • Information Processing in Agriculture, December 2018, Elsevier

    Dr Fida Hussain

  19. Complex power quality disturbances classification via curvelet transform and deep learning

    Article • Electric Power Systems Research, October 2018, Elsevier

    Dr Fida Hussain

  20. A Novel Method for Analysis of Power Quality Transient Disturbances

    Article • September 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fida Hussain

  21. Data provenance collection and security in a distributed environment: a survey

    Article • International Journal of Computers and Applications, August 2018, Taylor & Francis

    Dr Fida Hussain

  22. A Lidar-Based Tree Canopy Detection System Development

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fida Hussain, Prof. Destaw Mengistu

  23. Video representation by dense trajectories motion map applied to human activity recognition

    Article • International Journal of Computers and Applications, June 2018, Taylor & Francis

    Sheeraz Arif, Dr Fida Hussain

  24. A Novel Method for Analysis of Power Quality Transient Disturbances

    Article • December 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Fida Hussain

  25. Power quality disturbances classification based on curvelet transform

    Article • International Journal of Computers and Applications, November 2017, Taylor & Francis

    Dr Fida Hussain, Prof. Destaw Mengistu

  26. Power Quality Disturbances Classification Using Compressive Sensing and Maximum Likelihood

    Article • IETE Technical Review, April 2017, Taylor & Francis

    Dr Fida Hussain

  27. A LIDAR-Based Tree Canopy Characterization under Simulated Uneven Road Condition: Advance in Tree Orchard Canopy Profile Measurement

    Article • Journal of Sensors, January 2017, Hindawi Publishing Corporation

    Dr Fida Hussain, Prof. Destaw Mengistu