Aya Salama

Orcid: 0000-0002-8193-618X

Affiliations:
  • University of Prince Edward Island, Charlottetown, Prince Edward Island, CA
  • Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt


According to our database1, Aya Salama authored at least 11 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
You are what you eat? Feeding foundation models a regionally diverse food dataset of World Wide Dishes.
CoRR, 2024

2023
Proceedings of the NeurIPS 2021 Workshop on Machine Learning for the Developing World: Global Challenges.
CoRR, 2023

2021
Proceedings of the NeurIPS 2020 Workshop on Machine Learning for the Developing World: Improving Resilience.
CoRR, 2021

Artificial Intelligence Approach to Predict the COVID-19 Patient's Recovery.
Proceedings of the Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches, 2021

Tracking of COVID-19 Geographical Infections on Real-Time Tweets.
Proceedings of the Digital Transformation and Emerging Technologies for Fighting COVID-19 Pandemic: Innovative Approaches, 2021

2019
Sheep Identification Using a Hybrid Deep Learning and Bayesian Optimization Approach.
IEEE Access, 2019

The Significance of Artificial Intelligence in Arabian Horses Identification System.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, 2019

2018
Sheep identity recognition, age and weight estimation datasets.
CoRR, 2018

Automatic Sheep Weight Estimation Based on K-Means Clustering and Multiple Linear Regression.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2018

2017
Iris features segmentation for arabian horses identification.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

2013
Unattended vehicle detection for automatic traffic light control.
Proceedings of the Sixth International Conference on Machine Vision, 2013


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