Logan Cummins

According to our database, Logan Cummins authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

A Survey of Transformer Enabled Time Series Synthesis.

Alexander Sommers, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold

CoRR, 2024

Generating Synthetic Time Series Data for Cyber-Physical Systems.

Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour

CoRR, 2024

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities.

Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, Sudip Mittal, Joseph Jabour, Maria Seale, Shahram Rahimi

IEEE Access, 2024

2023

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review.

Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Amin Amirlatifi, Shahram Rahimi, Maria Seale, Linkan Bian

IEEE Access, 2023

Generative Local Interpretable Model-Agnostic Explanations.

Mohammad Nagahisarchoghaei, Mirhossein Mousavi Karimi, Shahram Rahimi, Logan Cummins, Ghodsieh Ghanbari

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries.

Logan Cummins, Brad Killen, Somayeh Bakhtiari Ramezani, Shahram Rahimi, Maria Seale, Sudip Mittal

Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

2021

A Survey of HMM-based Algorithms in Machinery Fault Prediction.

Somayeh Bakhtiari Ramezani, Brad Killen, Logan Cummins, Shahram Rahimi, Amin Amirlatifi, Maria Seale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Deep Learning Approaches to Remaining Useful Life Prediction: A Survey.

Logan Cummins, Brad Killen, Thomas Kirby, Paul Barrett, Shahram Rahimi, Maria Seale

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Similarity Based Methods for Faulty Pattern Detection in Predictive Maintenance.

Somayeh Bakhtiari Ramezani, Logan Cummins, Brad Killen, Richard Carley, Shahram Rahimi, Maria Seale

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021