Joel B. Harley

Orcid: 0000-0001-8920-1498

According to our database1, Joel B. Harley authored at least 25 papers between 2010 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Estimating soil mineral nitrogen from data-sparse field experiments using crop model-guided deep learning approach.
Comput. Electron. Agric., 2024

Quantifying Heterogeneous Ecosystem Services with Multi-Label Soft Classification.
Proceedings of the IGARSS 2024, 2024

2023
Capability of Impedance Measurement Using Spread Spectrum Time-Domain Reflectometry.
IEEE Trans. Instrum. Meas., 2023

Evaluation of Impedance Measurement Using Spread Spectrum Time Domain Reflectometry.
IEEE Trans. Instrum. Meas., 2023

Wave Physics-informed Matrix Factorizations.
CoRR, 2023

Modeling Fission Gas Release at the Mesoscale using Multiscale DenseNet Regression with Attention Mechanism and Inception Blocks.
CoRR, 2023

2022
Closing the Sim-to-Real Gap in Guided Wave Damage Detection with Adversarial Training of Variational Auto-Encoders.
Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021
Physiology-Informed Real-Time Mean Arterial Blood Pressure Learning and Prediction for Septic Patients Receiving Norepinephrine.
IEEE Trans. Biomed. Eng., 2021

A SSTDR Methodology, Implementations, and Challenges.
Sensors, 2021

Wave-Informed Matrix Factorization withGlobal Optimality Guarantees.
CoRR, 2021

2020
Uncertainty Aware Deep Neural Network for Multistatic Localization with Application to Ultrasonic Structural Health Monitoring.
CoRR, 2020

2019
Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning.
CoRR, 2019

Wave Physics Informed Dictionary Learning In One Dimension.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2016
Predictive Guided Wave Models Through Sparse Modal Representations.
Proc. IEEE, 2016

2015
Fast imaging in cannula microscope using orthogonal matching pursuit.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014
Data-Driven, Sparsity-Based Matched Field Processing for Structural Health Monitoring.
PhD thesis, 2014

Matched field processing localization with random sensor topologies.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Toward Data-Driven Structural Health Monitoring: Application of Machine Learning and Signal Processing to Damage Detection.
J. Comput. Civ. Eng., 2013

Broadband localization in a dispersive medium through sparse wavenumber analysis.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Compressed sensing radar surveillance networks.
Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

Maximum likelihood defect localization in a pipe using guided acoustic waves.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Detection of targets embedded in multipath clutter with Time Reversal.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Single antenna time reversal detection of moving target.
Proceedings of the IEEE International Conference on Acoustics, 2010


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