40 results on '"Chehade, Abdallah"'
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2. VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information
3. SeqOAE: Deep sequence-to-sequence orthogonal auto-encoder for time-series forecasting under variable population sizes
4. RMOPP: Robust Multi-Objective Post-Processing for Effective Object Detection
5. The Sparse Reverse of Principal Component Analysis for Fast Low-Rank Matrix Completion
6. Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach
7. A controllable deep transfer learning network with multiple domain adaptation for battery state-of-charge estimation
8. Conditional Gaussian mixture model for warranty claims forecasting
9. A dual-LSTM framework combining change point detection and remaining useful life prediction
10. Power–law nonhomogeneous Poisson process with a mixture of latent common shape parameters
11. Data-driven framework for warranty claims forecasting with an application for automotive components.
12. Accelerating the Discovery of New DP Steel Using Machine Learning-Based Multiscale Materials Simulations
13. Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles
14. Orthogonal Autoencoders for Long-Term State-of-Charge Forecasting of Li-ion Battery Cells
15. The Effect of Vehicle Automation Styles on Drivers’ Emotional State
16. Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells
17. A Novel Neural Network With Gaussian Process Feedback for Modeling the State-of-Charge of Battery Cells
18. A Polynomial Regression Model with Bayesian Inference for State-of-Health Prediction of Li-ion Batteries
19. Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells
20. A Multioutput Convolved Gaussian Process for Capacity Forecasting of Li-Ion Battery Cells
21. A Hybrid Long Short-Term Memory Network for State-of-Charge Estimation of Li-ion Batteries
22. Sparse Autoencoded Long Short-Term Memory Network for State-of-Charge Estimations
23. Dynamic Adherent Raindrop Simulator for Automotive Vision Systems
24. A Novel Neural Network with Gaussian Process Feedback for Modeling the State-of-Charge of Battery Cells
25. Robust Artificial Neural Network-Based Models for Accurate Surface Temperature Estimation of Batteries
26. A Collaborative Gaussian Process Regression Model for Transfer Learning of Capacity Trends Between Li-Ion Battery Cells
27. A Long Short-Term Memory Network for Online State-of-Charge Estimation of Li-ion Battery Cells
28. A Cycle-based Recurrent Neural Network for State-of-Charge Estimation of Li-ion Battery Cells
29. An Adaptive Deep Neural Network with Transfer Learning for State-of-Charge Estimations of Battery Cells
30. Data-driven Adaptive Thresholding Model for Real-time Valve Delay Estimation in Digital Pump/Motors
31. BLNN: An R package for training neural networks using Bayesian inference
32. Monitoring Digital Technologies in Hydraulic Systems Using CUSUM Control Charts
33. Sensor Fusion via Statistical Hypothesis Testing for Prognosis and Degradation Analysis
34. A Multi-Output Convolved Gaussian Process Model for Capacity Estimation of Electric Vehicle Li-ion Battery Cells
35. Structural Degradation Modeling Framework for Sparse Data Sets With an Application on Alzheimer’s Disease
36. A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes
37. Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction
38. Optimize the Signal Quality of the Composite Health Index via Data Fusion for Degradation Modeling and Prognostic Analysis
39. Design of a Transparent Hydraulic/Pneumatic Excavator Arm for Teaching and Outreach Activities.
40. Design of a Transparent Hydraulic/Pneumatic Excavator Arm for Teaching and Outreach Activities
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