Tamam Alsarhan

Orcid: 0000-0002-0323-0464

According to our database1, Tamam Alsarhan authored at least 12 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

Proactive Insider Threat Detection Using Facial and Behavioral Biometrics.
Proceedings of the 25th International Arab Conference on Information Technology, 2024

Securing Internet of Vehicles IoV Communications: A Biometric and Hash-Key Derivation Function HKDF-Based Approach.
Proceedings of the 25th International Arab Conference on Information Technology, 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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