Ali R. Abdellah

Orcid: 0000-0001-8410-738X

According to our database1, Ali R. Abdellah authored at least 11 papers between 2019 and 2022.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Distributed Edge Computing for Resource Allocation in Smart Cities Based on the IoT.
Inf., 2022

2021
Performance Estimation in V2X Networks Using Deep Learning-Based M-Estimator Loss Functions in the Presence of Outliers.
Symmetry, 2021

Machine Learning Algorithm for Delay Prediction in IoT and Tactile Internet.
Future Internet, 2021

Predicting Energy Consumption for UAV-Enabled MEC Using Machine Learning Algorithm.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2021

Deep Learning Approach for Predicting Energy Consumption of Drones Based on MEC.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2021

2020
VANET Traffic Prediction Using LSTM with Deep Neural Network Learning.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2020

Deep Learning with Long Short-Term Memory for IoT Traffic Prediction.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2020

Delay prediction in IoT using Machine Learning Approach.
Proceedings of the 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2020

IoT Traffic Prediction with Neural Networks Learning Based on SDN Infrastructure.
Proceedings of the Distributed Computer and Communication Networks, 2020

2019
Robust Estimation of VANET Performance-Based Robust Neural Networks Learning.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2019

IoT traffic prediction using multi-step ahead prediction with neural network.
Proceedings of the 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2019


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