Abdelrahman Elsaid

Orcid: 0000-0001-5218-6917

Affiliations:
  • University of North Carolina Wilmington, Department of Computer Science, NC, USA
  • University of Puerto Rico, Computer Science and Engineering, Mayagüez, PR, USA
  • Rochester Institute of Technology, NY, USA


According to our database1, Abdelrahman Elsaid authored at least 30 papers between 2016 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Continuous Ant-Based Neural Topology Search.
Softw. Impacts, 2024

Mobile Health Text Misinformation Identification Using Mobile Data Mining.
CoRR, 2024

Colony-Enhanced Recurrent Neural Architecture Search: Collaborative Ant-Based Optimization.
CoRR, 2024

2023
Backpropagation-free 4D continuous ant-based neural topology search.
Appl. Soft Comput., November, 2023

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search.
CoRR, 2023

2022
Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

A Self-Reconfigurable System for Mobile Health Text Misinformation Detection.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

2021
Improving Distributed Neuroevolution Using Island Extinction and Repopulation.
Proceedings of the Applications of Evolutionary Computation, 2021

An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution.
Proceedings of the Applications of Evolutionary Computation, 2021

Continuous Ant-Based Neural Topology Search.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020

A Hybrid Method of Face Feature Extraction, Classification Based on MLBP and Layered-Recurrent Network.
Traitement du Signal, 2020

An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution.
CoRR, 2020

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation.
CoRR, 2020

Improving Neuroevolution Using Island Extinction and Repopulation.
CoRR, 2020

Long term predictions of coal fired power plant data using evolved recurrent neural networks.
Autom., 2020

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

Neuro-Evolutionary Transfer Learning Through Structural Adaptation.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks.
CoRR, 2019

An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution.
CoRR, 2019

A test bed for measuring UAV servo reliability.
CoRR, 2019

Is adaptivity a core property of intelligent systems?: it depends.
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

Investigating recurrent neural network memory structures using neuro-evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters.
Proceedings of the Applications of Evolutionary Computation, 2019

2018
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration.
Appl. Soft Comput., 2018

Using ant colony optimization to optimize long short-term memory recurrent neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Optimizing LSTM RNNs using ACO to predict turbine engine vibration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.
Proceedings of the 12th IEEE International Conference on e-Science, 2016


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