Search Results - "Borghetti, J"

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  1. 1

    A Review of Anomaly Detection in Automated Surveillance by Sodemann, A. A., Ross, M. P., Borghetti, B. J.

    “…As surveillance becomes ubiquitous, the amount of data to be processed grows along with the demand for manpower to interpret the data. A key goal of…”
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    Journal Article
  2. 2

    Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data by Decker, Kevin T., Borghetti, Brett J.

    Published in Remote sensing (Basel, Switzerland) (01-05-2022)
    “…Multimodal hyperspectral and lidar data sets provide complementary spectral and structural data. Joint processing and exploitation to produce semantically…”
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    Journal Article
  3. 3

    Considerations for Radio Frequency Fingerprinting across Multiple Frequency Channels by Gutierrez Del Arroyo, Jose A, Borghetti, Brett J, Temple, Michael A

    Published in Sensors (Basel, Switzerland) (09-03-2022)
    “…Radio Frequency Fingerprinting (RFF) is often proposed as an authentication mechanism for wireless device security, but application of existing techniques in…”
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    Journal Article
  4. 4

    Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks by Decker, Kevin T., Borghetti, Brett J.

    Published in Applied sciences (01-07-2023)
    “…The fusion of dissimilar data modalities in neural networks presents a significant challenge, particularly in the case of multimodal hyperspectral and lidar…”
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    Journal Article
  5. 5

    Application of Machine Learning for Classification of Nuclear Reactor Operational Status Using Magnetic Field Sensors by Burt, Braden, Borghetti, Brett J., Franz, Anthony, Holland, Darren, Bickley, Abigail

    Published in Journal of Nuclear Engineering (01-12-2023)
    “…The nuclear fuel cycle forms the basis for producing special nuclear materials used in nuclear weapons via a series of interdependent industrial operations…”
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    Journal Article
  6. 6

    Analysis and Requirement Generation for Defense Intelligence Search: Addressing Data Overload through Human–AI Agent System Design for Ambient Awareness by Duncan, Mark C., Miller, Michael E., Borghetti, Brett J.

    Published in Systems (Basel) (01-12-2023)
    “…This research addresses the data overload faced by intelligence searchers in government and defense agencies. The study leverages methods from the Cognitive…”
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    Journal Article
  7. 7

    Identification of Return-Oriented Programming Attacks Using RISC-V Instruction Trace Data by Koranek, Daniel F., Graham, Scott R., Borghetti, Brett J., Henry, Wayne C.

    Published in IEEE access (2022)
    “…An increasing number of embedded systems include dedicated neural hardware. To benefit from this specialized hardware, deep learning techniques to discover…”
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    Journal Article
  8. 8

    Learning Set Representations for LWIR In-Scene Atmospheric Compensation by Westing, Nicholas, Gross, Kevin C., Borghetti, Brett J., Martin, Jacob, Meola, Joseph

    “…Atmospheric compensation of long-wave infrared (LWIR) hyperspectral imagery is investigated in this article using set representations learned by a neural…”
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    Journal Article
  9. 9

    Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation by Westing, Nicholas, Gross, Kevin C., Borghetti, Brett J., Kabban, Christine M. Schubert, Martin, Jacob, Meola, Joseph

    “…A multimodal generative modeling approach combined with permutation-invariant set attention is investigated in this article to support long-wave infrared…”
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    Journal Article
  10. 10

    MADFAM: MicroArchitectural Data Framework and Methodology by Langehaug, Tor J., Graham, Scott R., Kabban, Christine M. Schubert, Borghetti, Brett J.

    Published in IEEE access (2022)
    “…In the aftermath of Spectre and Meltdown researchers have proposed a variety of attack detection solutions by applying machine learning to data collected from…”
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    Journal Article
  11. 11

    Optoelectronic Switch and Memory Devices Based on Polymer-Functionalized Carbon Nanotube Transistors by Borghetti, J., Derycke, V., Lenfant, S., Chenevier, P., Filoramo, A., Goffman, M., Vuillaume, D., Bourgoin, J.-P.

    Published in Advanced materials (Weinheim) (04-10-2006)
    “…Optoelectronic devices combining the high electrical performances of carbon nanotubes with the remarkable optical properties of polymers are demonstrated (see…”
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    Journal Article
  12. 12

    A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection by Weller-Fahy, David J., Borghetti, Brett J., Sodemann, Angela A.

    “…Anomaly detection (AD) use within the network intrusion detection field of research, or network intrusion AD (NIAD), is dependent on the proper use of…”
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    Journal Article
  13. 13

    Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation by Hefron, Ryan G., Borghetti, Brett J., Christensen, James C., Kabban, Christine M. Schubert

    Published in Pattern recognition letters (15-07-2017)
    “…•A deep LSTM architecture is proposed to improve cross-day EEG feature stationarity.•Mean, variance, skewness, and kurtosis input features are statistically…”
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    Journal Article
  14. 14

    Workload profiles: A continuous measure of mental workload by Rusnock, Christina F., Borghetti, Brett J.

    “…The required frequency and disruptive method in which existing subjective measures of mental workload are collected make them infeasible for many types of task…”
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    Journal Article
  15. 15

    Hybrid CMOS/memristor circuits by Strukov, D B, Stewart, D R, Borghetti, J, Li, X, Pickett, M, Ribeiro, G M, Robinett, W, Snider, G, Strachan, J P, Wu, W, Xia, Q, Yang, J J, Williams, R S

    “…This is a brief review of recent work on the prospective hybrid CMOS/memristor circuits. Such hybrids combine the flexibility, reliability and high…”
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    Conference Proceeding
  16. 16

    Carbon nanotube transistor optimization by chemical control of the nanotube–metal interface by Auvray, S., Borghetti, J., Goffman, M. F., Filoramo, A., Derycke, V., Bourgoin, J. P., Jost, O.

    Published in Applied physics letters (21-06-2004)
    “…Most carbon nanotube transistors work as Schottky barrier transistors. We show that chemical treatment of operational p-type nanotube transistors by…”
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    Journal Article
  17. 17

    Assessing Continuous Operator Workload With a Hybrid Scaffolded Neuroergonomic Modeling Approach by Borghetti, Brett J., Giametta, Joseph J., Rusnock, Christina F.

    Published in Human factors (01-02-2017)
    “…Objective: We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models…”
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    Journal Article
  18. 18

    Active properties of carbon nanotube field-effect transistors deduced from S parameters measurements by Bethoux, J.-M., Happy, H., Siligaris, A., Dambrine, G., Borghetti, J., Derycke, V., Bourgoin, J.-P.

    Published in IEEE transactions on nanotechnology (01-07-2006)
    “…AC performances of carbon nanotube field-effect transistors (CNT-FETs) are analyzed by means of scattering parameters measurements. The active ac properties of…”
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    Journal Article
  19. 19

    Detection and Mitigation of Inefficient Visual Searching by Gallaher, Joshua P, Kamrud, Alexander J., Borghetti, Brett J.

    “…A commonly known cognitive bias is a confirmation bias: the overweighting of evidence supporting a hy- pothesis and underweighting evidence countering that…”
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    Journal Article
  20. 20

    Confirmation Bias Estimation from Electroencephalography with Machine Learning by Villarreal, Micah N., Kamrud, Alexander J., Borghetti, Brett J.

    “…Cognitive biases are known to affect human decision making and can have disastrous effects in the fast-paced environments of military operators. Traditionally,…”
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    Journal Article