Muhammad Saqib

According to our database1, Muhammad Saqib authored at least 19 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Kinetic flux vector splitting scheme for solving non-reactive multi-component flows.
Computational Biology and Chemistry, 2019

Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks.
IEEE Access, 2019

Numerical Study to Coupled Three Dimensional Reaction Diffusion System.
IEEE Access, 2019

Drone Detection in Long-Range Surveillance Videos.
Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019


2018
A modern approach of Caputo-Fabrizio time-fractional derivative to MHD free convection flow of generalized second-grade fluid in a porous medium.
Neural Computing and Applications, 2018

Heat and mass transfer phenomena in the flow of Casson fluid over an infinite oscillating plate in the presence of first-order chemical reaction and slip effect.
Neural Computing and Applications, 2018

Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

More Realistic and Efficient Face-Based Mobile Authentication using CNNs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Towards a Dedicated Computer Vision Tool set for Crowd Simulation Models.
CoRR, 2017

Highly Efficient Computational Methods for Two Dimensional Coupled Nonlinear Unsteady Convection-Diffusion Problems.
IEEE Access, 2017

Extracting descriptive motion information from crowd scenes.
Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand, 2017

A study on detecting drones using deep convolutional neural networks.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

Drone-vs-Bird detection challenge at IEEE AVSS2017.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Texture-based feature mining for crowd density estimation: A study.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

2013
Exploiting cross-over distance to optimize energy in wireless sensor networks.
Proceedings of the Eighth International Conference on Digital Information Management (ICDIM 2013), 2013

2011
Removal of blobs from retinal videos using intra-video registration.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2009
Functional unit level parallelism in RISC architecture.
Proceedings of the FIT '09, 2009


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