Tamam Alsarhan

Orcid: 0000-0002-0323-0464

According to our database1, Tamam Alsarhan authored at least 10 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Optimizing Electric Vehicle Charging Infrastructure through Machine Learning: A Study of Charging Patterns and Energy Consumption.
Int. J. Interact. Mob. Technol., 2024

TFUT: Task fusion upward transformer model for multi-task learning on dense prediction.
Comput. Vis. Image Underst., 2024

PH-GCN: Boosting Human Action Recognition Through Multi-Level Granularity With Pair-Wise Hyper GCN.
IEEE Access, 2024

Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Human Action Recognition with Multi-Level Granularity and Pair-Wise Hyper GCN.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

2022
Enhanced discriminative graph convolutional network with adaptive temporal modelling for skeleton-based action recognition.
Comput. Vis. Image Underst., 2022

2021
Enhancing human activity recognition using deep learning and time series augmented data.
J. Ambient Intell. Humaniz. Comput., 2021

A lightweight network for monocular depth estimation with decoupled body and edge supervision.
Image Vis. Comput., 2021

Collaborative Positional-Motion Excitation Module for Efficient Action Recognition.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

2019
Bidirectional Gated Recurrent Units For Human Activity Recognition Using Accelerometer Data.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019


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