Publications

@inproceedings{peachey2024machine,

title = {A Machine Learning Approach to Modeling Small Vessel Performance},

author = {Matthew Peachey and Karansingh Chauhan and Juliano Franz and Sue Molloy and Christopher Whidden},

year  = {2024},

date = {2024-09-26},

urldate = {2024-09-26},

publisher = {International OCEANS24 Conference},

abstract = {The maritime industry is a critical component of global trade. However, it is also responsible for a significant amount of Greenhouse Gas emissions. While small vessels are often overlooked as main contributors to emissions, when analyzed as a group, they collectively have a meaningful impact. In order to help promote more sustainable operation of these vessels, it is important to to model fuel consumption based on different weather and sea conditions. To this end, we present a machine learning approach to modelling fuel consumption aboard small vessels using an LSTM architecture. In this paper, we discuss the process of collecting data aboard one such small vessel, the end-to-end model training & evaluation process, and discuss plans for future work.

},

keywords = {machine learning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peachey2023,

title = {Creating Latent Representations of Synthesizer Patches using Variational Autoencoders},

author = {Matthew Peachey and Sageev Oore and Joseph Malloch},

url = {https://ieeexplore.ieee.org/document/10335466},

year  = {2023},

date = {2023-10-26},

urldate = {2023-10-26},

booktitle = {Proceedings of the 4th International Symposium on the Internet of Sounds (IS2)},

address = {Pisa, Italy},

keywords = {machine learning, music},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{GoddyWorlu2022,

title = {Capture and Recognition of Bead Weaving Activities using Hand Skeletal Data and an LSTM Deep Neural Network},

author = {Rowland Goddy-Worlu and Martha Dais Ferreira and Matthew Peachey and Claire Nicholas and James Forren and Derek Reilly},

year  = {2022},

date = {2022-12-12},

urldate = {2022-12-12},

booktitle = {Proceedings of the 5th IEEE International Conference on Artificial Intelligence & Virtual Reality (AIVR 2022)},

publisher = {IEEE},

keywords = {augmented reality, craft, creativity support tools, cultural heritage, dynamic guides, gesture, machine learning},

pubstate = {published},

tppubtype = {inproceedings}

}