Brian Sheil

According to our database1, Brian Sheil authored at least 13 papers between 2022 and 2026.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
Graph attention neural network for subsurface stratigraphy on spatial and feature level using multiple-source sparse exploration data.
Adv. Eng. Informatics, 2026

2025
Continually Evolving Skill Knowledge in Vision Language Action Model.
CoRR, November, 2025

InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point clouds.
CoRR, September, 2025

Uncertainty-guided U-Net for soil boundary segmentation using Monte Carlo dropout.
Comput. Aided Civ. Infrastructure Eng., April, 2025

A 3D Multimodal Feature for Infrastructure Anomaly Detection.
CoRR, February, 2025

Automatic determination of 3D particle morphology from multiview images using uncertainty-evaluated deep learning.
Comput. Aided Civ. Infrastructure Eng., 2025

2024
A lightweight Transformer-based neural network for large-scale masonry arch bridge point cloud segmentation.
Comput. Aided Civ. Infrastructure Eng., August, 2024

Parsimonious Universal Function Approximator for Elastic and Elasto-Plastic Cavity Expansion Problems.
CoRR, 2024

Multi-fidelity fusion for soil classification via LSTM and multi-head self-attention CNN model.
Adv. Eng. Informatics, 2024

Knowledge-based U-Net and transfer learning for automatic boundary segmentation.
Adv. Eng. Informatics, 2024

2023
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure.
Remote. Sens., October, 2023

Entity Embeddings in Deep Learning for the Detection of Anomalous Insar Deformation Signals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Comparison of Insar and Numerical Modelling for Tailings Dam Monitoring the Cadia Failure, Australia.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022


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