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ORCIDAbdallah A. Chehade
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2020 – today
- 2024
[j13]Abdallah A. Chehade
, Wael Hassanieh, Vasiliy V. Krivtsov:
SeqOAE: Deep sequence-to-sequence orthogonal auto-encoder for time-series forecasting under variable population sizes. Reliab. Eng. Syst. Saf. 247: 110107 (2024)- [j12]Mayuresh Savargaonkar, Isaiah Oyewole, Abdallah A. Chehade, Ala A. Hussein:
Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells. IEEE Trans Autom. Sci. Eng. 21(1): 15-26 (2024) - [c1]Wael Hassanieh, Abdallah A. Chehade:
Selective Deep Autoencoder for Unsupervised Feature Selection. AAAI 2024: 12322-12330 - 2023
- [j11]Areen Alsaid, John D. Lee, Sofia I. Noejovich, Abdallah A. Chehade:
The Effect of Vehicle Automation Styles on Drivers' Emotional State. IEEE Trans. Intell. Transp. Syst. 24(4): 3963-3973 (2023) - 2022
- [j10]Abdallah A. Chehade, Mayuresh Savargaonkar, Vasiliy V. Krivtsov:
Conditional Gaussian mixture model for warranty claims forecasting. Reliab. Eng. Syst. Saf. 218(Part): 108180 (2022) - [i4]Mayuresh Savargaonkar, Abdallah A. Chehade:
VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information. CoRR abs/2207.11146 (2022) - 2021
- [j9]Yazan Hamzeh, Zaid A. El-Shair, Abdallah A. Chehade, Samir A. Rawashdeh:
Dynamic Adherent Raindrop Simulator for Automotive Vision Systems. IEEE Access 9: 114808-114820 (2021) - [j8]Zunya Shi, Abdallah A. Chehade:
A dual-LSTM framework combining change point detection and remaining useful life prediction. Reliab. Eng. Syst. Saf. 205: 107257 (2021) - [i3]Mayuresh Savargaonkar, Abdallah A. Chehade, Samir A. Rawashdeh:
RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection. CoRR abs/2102.04582 (2021) - 2020
- [j7]Abdallah A. Chehade, Zunya Shi, Vasiliy V. Krivtsov:
Power-law nonhomogeneous Poisson process with a mixture of latent common shape parameters. Reliab. Eng. Syst. Saf. 203: 107097 (2020) - [j6]Taysseer Sharaf, Theren Williams, Abdallah A. Chehade, Keshav Pokhrel:
BLNN: An R package for training neural networks using Bayesian inference. SoftwareX 11: 100432 (2020) - [j5]Abdallah A. Chehade, Ala A. Hussein:
A Collaborative Gaussian Process Regression Model for Transfer Learning of Capacity Trends Between Li-Ion Battery Cells. IEEE Trans. Veh. Technol. 69(9): 9542-9552 (2020)
2010 – 2019
- 2019
- [j4]Abdallah A. Chehade, Kaibo Liu:
Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer's Disease. IEEE Trans Autom. Sci. Eng. 16(1): 192-205 (2019) - [j3]Abdallah A. Chehade, Zunya Shi:
Sensor Fusion via Statistical Hypothesis Testing for Prognosis and Degradation Analysis. IEEE Trans Autom. Sci. Eng. 16(4): 1774-1787 (2019) - [i2]Abdallah A. Chehade, Ala A. Hussein:
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach. CoRR abs/1907.09455 (2019) - [i1]Abdallah A. Chehade, Zunya Shi:
The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion. CoRR abs/1910.02155 (2019) - 2017
- [j2]Kaibo Liu, Abdallah A. Chehade, Changyue Song:
Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis. IEEE Trans Autom. Sci. Eng. 14(3): 1504-1514 (2017) - [j1]Abdallah A. Chehade, Scott Bonk, Kaibo Liu:
Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction. IEEE Trans. Reliab. 66(3): 939-949 (2017)
Coauthor Index
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