James Higgins

According to our database, James Higgins authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

Radio Frequency Interference (RFI) at L-Band: Update on the SMAP RFI Team Efforts to Reduce Its Global Impact.

Paolo de Matthaeis, Priscilla N. Mohammed, David M. Le Vine, Alexandra Bringer, James Higgins

Proceedings of the IGARSS 2024, 2024

2023

A Case Study in RFI at L-band Detected by SMAP.

David M. Le Vine, Paolo de Matthaeis, Priscilla N. Mohammed, James Higgins

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery.

Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Brenda Rapp, Todd B. Parrish, Ajay Kurani, James Higgins, David Caplan, Cynthia K. Thompson, Swathi Kiran, Margrit Betke, Prakash Ishwar

Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2019

A 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion Segmentation.

Yanran Wang, Hengkang Wang, Sophia Chen, Aggelos K. Katsaggelos, Adam Martersteck, James Higgins, Virginia B. Hill, Todd B. Parrish

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration.

AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell

Appl. Soft Comput., 2018

Classifying Aircraft Approach Type in the National General Aviation Flight Information Database.

Kelton Karboviak, Sophine Clachar, Travis Desell, Mark Dusenbury, Wyatt Hedrick, James Higgins, John Walberg, Brandon Wild

Proceedings of the Computational Science - ICCS 2018, 2018

Using ant colony optimization to optimize long short-term memory recurrent neural networks.

AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Optimizing LSTM RNNs using ACO to predict turbine engine vibration.

AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

A micro-UAS to Start Prescribed Fires.

Evan Beachly, James Higgins, Christian Laney, Sebastian G. Elbaum, Carrick Detweiler, Craig Allen, Dirac Twidwell

Proceedings of the International Symposium on Experimental Robotics, 2016

The waterbug sub-surface sampler: Design, control and analysis.

James Higgins, Carrick Detweiler

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.

AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell

Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015

Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization.

Travis Desell, Sophine Clachar, James Higgins, Brandon Wild

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

2014

Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data.

Travis Desell, Sophine Clachar, James Higgins, Brandon Wild

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014