Zakariya A. Oraibi

According to our database1, Zakariya A. Oraibi authored at least 11 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Efficient COVID-19 Prediction by Merging Various Deep Learning Architectures.
Informatica (Slovenia), 2024

2023
A Robust End-to-End CNN Architecture for Efficient COVID-19 Prediction form X-ray Images with Imbalanced Data.
Informatica (Slovenia), 2023

Gait Recognition using Deep Residual Networks and Conditional Generative Adversarial Networks.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Predicting COVID-19 from Chest X-ray Images using a New Deep Learning Architecture.
Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021
Prediction of COVID-19 from Chest X-ray Images Using Multiresolution Texture Classification with Robust Local Features.
Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2019
AGRA: AI-augmented geographic routing approach for IoT-based incident-supporting applications.
Future Gener. Comput. Syst., 2019

Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018
Learning Local and Deep Features for Efficient Cell Image Classification Using Random Forests.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Incident-Supporting Visual Cloud Computing Utilizing Software-Defined Networking.
IEEE Trans. Circuits Syst. Video Technol., 2017

Texture Classification using Multiple Local Descriptors.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016
HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


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