255 citations
- National Institute of AerospaceUS15 papers
- Goddard Space Flight CenterUS10 papers
- National Aeronautics and Space AdministrationUS8 papers
- The Aerospace CorporationUS8 papers
- University of California San DiegoUS6 papers
- University of Maryland, College ParkUS6 papers
- California Institute of TechnologyUS5 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE5 papers
- Jet Propulsion LaboratoryUS5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Royal Belgian Institute for Space AeronomyBE5 papers
- University of ArizonaUS5 papers
85 papers
System Identification of an Octocopter in Hover using Full-Harmonic Orthogonal Multisine Inputs
Justin J. Matt, George V. Altamirano
A new method for multi-input flight maneuver design for system identification is presented. The method consists of injecting "full-harmonic" orthogonal multisine signals into the f…
An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems
Anna Martin-Boyle, William Humphreys, Martha Brown +2
Large Language Models (LLMs) are transforming scholarly tasks like search and summarization, but their reliability remains uncertain. Current evaluation metrics for testing LLM rel…
PaperTrail: A Claim-Evidence Interface for Grounding Provenance in LLM-based Scholarly Q&A
Anna Martin-Boyle, Cara A. C. Leckey, Martha C. Brown +1
Large language models (LLMs) are increasingly used in scholarly question-answering (QA) systems to help researchers synthesize vast amounts of literature. However, these systems of…
Harnessing Self-Supervised Deep Learning and Geostationary Remote Sensing for Advancing Wildfire and Associated Air Quality Monitoring: Improved Smoke and Fire Front Masking using GOES and TEMPO Radiance Data
Nicholas LaHaye, Thilanka Munashinge, Hugo Lee +4
This work demonstrates the possibilities for improving wildfire and air quality management in the western United States by leveraging the unprecedented hourly data from NASA's TEMP…
Development of a Photon-Counting Deadtime Noise Model that Extends Dynamic Range and Resolution in Atmospheric Lidar
Grant J. Kirchhoff, Matthew Hayman, Willem J. Marais +2
This work derives and validates a noise model that encapsulates deadtime of non-paralyzable detectors with random photon arrivals to enable advanced processing, like maximum-likeli…
Call for Action: towards the next generation of symbolic regression benchmark
Guilherme S. Imai Aldeia, Hengzhe Zhang, Geoffrey Bomarito +5
Symbolic Regression (SR) is a powerful technique for discovering interpretable mathematical expressions. However, benchmarking SR methods remains challenging due to the diversity o…