Muzammil Khan

Orcid: 0000-0003-1914-6520

Affiliations:
  • University of Twente, The Netherlands
  • Maulana Azad National Institute of Technology, Bhopal, India (former)


According to our database1, Muzammil Khan authored at least 9 papers between 2022 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Reliable Smoke Detection via Optical Flow-Guided Feature Fusion and Transformer-Based Uncertainty Modeling.
CoRR, August, 2025

2023
A level set based fractional order variational model for motion estimation in application oriented spectrum.
Expert Syst. Appl., June, 2023

A Non-Local Weighted Fractional Order Variational Model for Smoke Detection Using Deep Learning Models.
Proceedings of the IEEE Region 10 Conference, 2023

Fire Detection Using Level Set Segmentation Based Fractional Order Optical Flow and 4D Fire Features with Mixed Data CNN-LSTM Model.
Proceedings of the IEEE Region 10 Conference, 2023

A Relative Analysis of Different CNN Based Models for COVID-19 Detection using CXR and CT Images.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Study of Various Deep Learning Models for COVID-19 Detection Based on Fractional Order Optical Flow.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Smoke Detection Using its Static and Dynamic Features Based on Fractional Order Optical Flow and Deep Learning Models for Fire Prediction.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A Segmentation Based Robust Fractional Variational Model for Motion Estimation.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

Prediction of Fire Signatures Based on Fractional Order Optical Flow and Convolution Neural Network.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022


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