Random Walk Analysis in a Reliability System under Constant Degradation and Random Shocks. - Jewgeni H. Dshalalow; Ryan T. White (Axioms, 2021)

First Passage Analysis in a Queue with State Dependent Vacations. - Jewgeni H. Dshalalow; Ryan T. White (Axioms, 2022)

Determination of Mutation Rates with Two Symmetric and Asymmetric Mutation Types. - Jewgeni H. Dshalalow; Van Minh Nguyen; Richard R. Sinden; Ryan T. White (Symmetry, 2022)

On the Exiting Patterns of Multivariate Renewal-Reward Processes with an Application to Stochastic Networks. - Ryan T. White (Symmetry, 2022)

Resource-constrained FPGA Design for Satellite Component Feature Extraction. - Andrew Ekblad; Trupti Mahendrakar; Ryan T. White; Markus Wilde; Isaac Silver; Brooke Wheeler (CoRR, 2023)

Performance Study of YOLOv5 and Faster R-CNN for Autonomous Navigation around Non-Cooperative Targets. - Trupti Mahendrakar; Andrew Ekblad; Nathan Fischer; Ryan T. White; Markus Wilde; Brian Kish; Isaac Silver (CoRR, 2023)

Autonomous Rendezvous with Non-cooperative Target Objects with Swarm Chasers and Observers. - Trupti Mahendrakar; Steven Holmberg; Andrew Ekblad; Emma Conti; Ryan T. White; Markus Wilde; Isaac Silver (CoRR, 2023)

3D Reconstruction of Non-cooperative Resident Space Objects using Instant NGP-accelerated NeRF and D-NeRF. - Trupti Mahendrakar; Basilio Caruso; Van Minh Nguyen; Ryan T. White; Todd Steffen (CoRR, 2023)

SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection. - Trupti Mahendrakar; Ryan T. White; Markus Wilde; Madhur Tiwari (CoRR, 2023)

Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations. - Mackenzie J. Meni; Trupti Mahendrakar; Olivia D. M. Raney; Ryan T. White; Michael L. Mayo; Kevin Pilkiewicz (CoRR, 2023)

Agile Methodology for the Standardization of Engineering Requirements Using Large Language Models. - Archana Tikayat Ray; Bjorn F. Cole; Olivia J. Pinon Fischer; Anirudh Prabhakara Bhat; Ryan T. White; Dimitri N. Mavris (Syst., 2023)

Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting. - Van Minh Nguyen; Emma Sandidge; Trupti Mahendrakar; Ryan T. White (CoRR, 2024)

SatSplatYOLO: 3D Gaussian Splatting-based Virtual Object Detection Ensembles for Satellite Feature Recognition. - Van Minh Nguyen; Emma Sandidge; Trupti Mahendrakar; Ryan T. White (CoRR, 2024)

SpY: A Context-Based Approach to Spacecraft Component Detection. - Trupti Mahendrakar; Ryan T. White; Madhur Tiwari (CoRR, 2024)

Entropy-based guidance of deep neural networks for accelerated convergence and improved performance. - Mackenzie J. Meni; Ryan T. White; Michael L. Mayo; Kevin R. Pilkiewicz (Inf. Sci., 2024)

Unknown Non-Cooperative Spacecraft Characterization with Lightweight Convolutional Neural Networks. - Trupti Mahendrakar; Ryan T. White; Madhur Tiwari; Markus Wilde (J. Aerosp. Inf. Syst., 2024)

Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements. - Archana Tikayat Ray; Olivia J. Pinon Fischer; Ryan T. White; Bjorn F. Cole; Dimitri N. Mavris (J. Aerosp. Inf. Syst., 2024)

promSEMBLE: Hard Pattern Mining and Ensemble Learning for Detecting DNA Promoter Sequences. - Bindi M. Nagda; Van Minh Nguyen; Ryan T. White (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Dependent Competing Failure Processes in Reliability Systems. - Jewgeni H. Dshalalow; Hend Aljahani; Ryan T. White (Entropy, 2024)

Probabilistic Explanations for Entropic Knowledge Extraction for Automated Satellite Component Detection. - Mackenzie J. Meni; Trupti Mahendrakar; Olivia D. M. Raney; Ryan T. White; Michael L. Mayo; Kevin R. Pilkiewicz (J. Aerosp. Inf. Syst., 2025)