Matthew R. Maschmann

Orcid: 0000-0002-0740-6228

According to our database1, Matthew R. Maschmann authored at least 15 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing.
Proceedings of the 4th IEEE International Conference on Human-Machine Systems, 2024

2023
Investigating the Electromechanical Sensitivity of Carbon-Nanotube-Coated Microfibers.
Sensors, 2023

Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations.
Proceedings of the IEEE International Conference on Image Processing, 2023

CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

Deep Style Transfer for Generation of Photo-realistic Synthetic Images of CNT Forests.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

Towards Automated Nanoenergetic Reaction Characterization with Computational Vision.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Remote Instrumentation Science Environment for Intelligent Image Analytics.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Surface Plasmon Enhanced Fluorescence Temperature Mapping of Aluminum Nanoparticle Heated by Laser.
Sensors, 2021

Reinforcement Learning based Carbon Nanotube Growth Automation.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020
Aiding Material Design Through Machine Learning.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019
Exploration of Carbon Nanotube Forest Synthesis-Structure Relationships Using Physics-Based Simulation and Machine Learning.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018
Single-molecule Imaging of Metallic Nanostructures on a Plasmonic Metal Grating Superlens.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2016
Fluorescence-based temperature sensor for in-situ imaging local temperature of aluminum nanoparticles on plasmonic gratings.
Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016


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