AbdElRahman ElSaid

33 papers A 4B 7Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CG-CANTS-N: A Versatile Graph-Based Framework for Scalable and Adaptive Problem Solving Across Domains. GECCO Companion AbdElRahman ElSaid, Travis Desell
2025	—	`conf`	Slow-Drift GPS Spoofing in UAV Swarms Using LSTM-Based Sensor Fusion. FLLM Hosam Alamleh, AbdElRahman ElSaid
2024	J	`jnl`	Colony-Enhanced Recurrent Neural Architecture Search: Collaborative Ant-Based Optimization. CoRR AbdElRahman ElSaid
2024	J	`jnl`	Continuous Ant-Based Neural Topology Search. Softw. Impacts AbdElRahman ElSaid
2023	J	`jnl`	Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search. CoRR AbdElRahman ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell
2023	J	`jnl`	Backpropagation-free 4D continuous ant-based neural topology search. Appl. Soft Comput. AbdElRahman ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell
2022	J	`jnl`	Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics. CoRR Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2022	A	`conf`	Addressing tactic volatility in self-adaptive systems using evolved recurrent neural networks and uncertainty reduction tactics. GECCO Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2021	B	`conf`	An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution. EvoApplications Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
2021	B	`conf`	Continuous Ant-Based Neural Topology Search. EvoApplications AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell
2021	B	`conf`	Improving Distributed Neuroevolution Using Island Extinction and Repopulation. EvoApplications Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Mohamed Wiem Mkaouer, Travis Desell
2020	J	`jnl`	A Hybrid Method of Face Feature Extraction, Classification Based on MLBP and Layered-Recurrent Network. Traitement du Signal Aws Al-Qaisi, Mokhled S. AlTarawneh, AbdElRahman ElSaid, Ziad A. Alqadi
2020	B	`conf`	An Empirical Exploration of Deep Recurrent Connections Using Neuro-Evolution. EvoApplications Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II
2020	J	`jnl`	An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution. CoRR Zimeng Lyu, AbdElRahman ElSaid, Joshua Karns, Mohamed Wiem Mkaouer, Travis Desell
2020	B	`conf`	Ant-based Neural Topology Search (ANTS) for Optimizing Recurrent Networks. EvoApplications AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell
2020	J	`jnl`	Continuous Ant-Based Neural Topology Search. CoRR AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Alexander Ororbia, Travis Desell
2020	J	`jnl`	Improving Neuroevolution Using Island Extinction and Repopulation. CoRR Zimeng Lyu, Joshua Karns, AbdElRahman ElSaid, Travis Desell
2020	A	`conf`	Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation. GECCO AbdElRahman ElSaid, Joshua Karns, Zimeng Lyu, Daniel E. Krutz, Alexander Ororbia, Travis Desell
2020	—	`ch.`	Investigating Deep Recurrent Connections and Recurrent Memory Cells Using Neuro-Evolution. Deep Neural Evolution Travis Desell, AbdElRahman ElSaid, Alexander G. Ororbia II
2020	J	`jnl`	Long term predictions of coal fired power plant data using evolved recurrent neural networks. Autom. Travis J. Desell, AbdElRahman ElSaid, Zimeng Lyu, David Stadem, Shuchita Patwardhan, Steven A. Benson
2020	B	`conf`	Neuro-Evolutionary Transfer Learning Through Structural Adaptation. EvoApplications AbdElRahman ElSaid, Joshua Karnas, Zimeng Lyu, Daniel E. Krutz, Alexander G. Ororbia II, Travis Desell
2020	J	`jnl`	Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation. CoRR AbdElRahman ElSaid, Joshua Karns, Alexander G. Ororbia II, Daniel E. Krutz, Zimeng Lyu, Travis Desell
2019	J	`jnl`	A test bed for measuring UAV servo reliability. CoRR AbdElRahman ElSaid, John Nordlie, Fatima El Jamiy
2019	J	`jnl`	An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution. CoRR Travis J. Desell, AbdElRahman ElSaid, Alexander Ororbia
2019	B	`conf`	Evolving Recurrent Neural Networks for Time Series Data Prediction of Coal Plant Parameters. EvoApplications AbdElRahman ElSaid, Steven A. Benson, Shuchita Patwardhan, David Stadem, Travis Desell
2019	A	`conf`	Investigating recurrent neural network memory structures using neuro-evolution. GECCO Alexander Ororbia, AbdElRahman ElSaid, Travis Desell
2019	—	`conf`	Is adaptivity a core property of intelligent systems?: it depends. SEAMS@ICSE AbdElRahman ElSaid, Travis Desell, Daniel E. Krutz
2019	J	`jnl`	The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks. CoRR AbdElRahman ElSaid, Alexander G. Ororbia II, Travis J. Desell
2018	J	`jnl`	Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. Appl. Soft Comput. AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
2018	A	`conf`	Using ant colony optimization to optimize long short-term memory recurrent neural networks. GECCO AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
2017	—	`conf`	Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell
2017	J	`jnl`	Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. CoRR AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild
2016	—	`conf`	Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell