Usman Nazir

Orcid: 0000-0001-5741-9062

According to our database1, Usman Nazir authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
2022 Flood Impact in Pakistan: Remote Sensing Assessment of Agricultural and Urban Damage.
CoRR, 2024

Data-Driven Approach to assess and identify gaps in healthcare set up in South Asia.
CoRR, 2024

2023
Learning adjacency matrix for dynamic graph neural network.
CoRR, 2023

Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA).
CoRR, 2023

Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning.
CoRR, 2023

Improved Flood Mapping for Efficient Policy Design by Fusion of Sentinel-1, Sentinel-2 and Landsat-9 Imagery to Identify Population and Infrastructure Exposed to Floods.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Feature Selection on Sentinel-2 Multi-Spectral Imagery for Efficient Tree Cover Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Survey of Image Based Graph Neural Networks.
CoRR, 2021

2020
Kiln-Net: A Gated Neural Network for Detection of Brick Kilns in South Asia.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
Accurate Localization in Wireless Sensor Networks in the Presence of Cross Technology Interference.
CoRR, 2019

Accurate Localization Algorithm in Wireless Sensor Networks in the Presence of Cross Technology Interference.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Using 3D Residual Network for Spatio-temporal Analysis of Remote Sensing Data.
Proceedings of the IEEE International Conference on Acoustics, 2019

Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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