Search Results - "Borghetti, Brett J."

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Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks.

Authors: Decker, Kevin T. Borghetti, Brett J.

Source: Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 14, p8210, 21p

A Survey of Sampling Methods for Hyperspectral Remote Sensing: Addressing Bias Induced by Random Sampling.

Authors: Decker, Kevin T. Borghetti, Brett J.

Source: Remote Sensing. Apr2025, Vol. 17 Issue 8, p1373. 53p.

Application of Machine Learning for Classification of Nuclear Reactor Operational Status Using Magnetic Field Sensors.

Authors: Burt, Braden Borghetti, Brett J. Franz, Anthony et al.

Source: Journal of Nuclear Engineering (JNE). Dec2023, Vol. 4 Issue 4, p723-731. 9p.

Analysis and Requirement Generation for Defense Intelligence Search: Addressing Data Overload through Human–AI Agent System Design for Ambient Awareness.

Authors: Duncan, Mark C. Miller, Michael E. Borghetti, Brett J.

Source: Systems; Dec2023, Vol. 11 Issue 12, p561, 29p

Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data.

Authors: Decker, Kevin T. Borghetti, Brett J.

Source: Remote Sensing. May2022, Vol. 14 Issue 9, p2113-2113. 22p.

Considerations for Radio Frequency Fingerprinting across Multiple Frequency Channels.

Authors: Gutierrez del Arroyo, Jose A. Borghetti, Brett J. Temple, Michael A.

Source: Sensors (14248220). Mar2022, Vol. 22 Issue 6, p2111. 21p.

Understanding Conditions that Lead to Emulation Attacks in Dynamic Spectrum Access.

Authors: Thomas, Ryan W. Borghetti, Brett J. Komali, Ramakant S.

Source: IEEE Communications Magazine; March 2011, Vol. 49 Issue 3, p32-37, 6p

The Environment Value of an Opponent Model.

Authors: Borghetti, Brett J.

Source: IEEE Transactions on Systems, Man & Cybernetics: Part B; June 2010, Vol. 40 Issue 3, p623-633, 11p

Determining Solution Space Characteristics for Real-Time Strategy Games and Characterizing Winning Strategies.

Authors: Weissgerber, Kurt Lamont, Gary B. Borghetti, Brett J. et al.

Source: International Journal of Computer Games Technology; 2011, p1-17, 17p

Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing.

Authors: Bernasco, Wim M. Hoeben, Evelien Koelma, Dennis et al.

Source: Sociological Methods & Research. Aug2023, Vol. 52 Issue 3, p1239-1287. 49p.

Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention.

Authors: Hoecherl, Joseph C. Robbins, Matthew J. Borghetti, Brett J. et al.

Source: Computers & Industrial Engineering; Sep2022, Vol. 171, pN.PAG-N.PAG, 1p