Shahzad Khan

Orcid: 0000-0003-3217-9028

Affiliations:
  • Gnowit Inc., Kanata, ON, Canada
  • University of Cambridge Cambridge, UK (PhD 2007)


According to our database1, Shahzad Khan authored at least 12 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
TableStrRec: framework for table structure recognition in data sheet images.
Int. J. Document Anal. Recognit., June, 2024

2022
Machine Learning-Backed Planning of Rapid COVID-19 Tests With Autonomous Vehicles With Zero-Day Considerations.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

TableDet: An end-to-end deep learning approach for table detection and table image classification in data sheet images.
Neurocomputing, 2022

On cropped versus uncropped training sets in tabular structure detection.
Neurocomputing, 2022

2021
AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy.
Pervasive Mob. Comput., 2021

TabCellNet: Deep learning-based tabular cell structure detection.
Neurocomputing, 2021

2020
Holistic design for deep learning-based discovery of tabular structures in datasheet images.
Eng. Appl. Artif. Intell., 2020

Bridging Predictive Analytics and Mobile Crowdsensing for Future Risk Maps of Communities Against COVID-19.
Proceedings of the 18th ACM International Symposium on Mobility Management and Wireless Access, 2020

High Precision Deep Learning-Based Tabular Position Detection.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019
Deep Learning for the Detection of Tabular Information from Electronic Component Datasheets.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Deep Learning for Recognizing the Anatomy of Tables on Datasheets.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

2018
Artificial intelligence framework for smart city microgrids: State of the art, challenges, and opportunities.
Proceedings of the Third International Conference on Fog and Mobile Edge Computing, 2018


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