Search Results - "Rothwell, Benjamin"

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  1. 1

    Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management by Rengasamy, Divish, Jafari, Mina, Rothwell, Benjamin, Chen, Xin, Figueredo, Grazziela P

    Published in Sensors (Basel, Switzerland) (28-01-2020)
    “…Deep learning has been employed to prognostic and health management of automotive and aerospace with promising results. Literature in this area has revealed…”
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    Journal Article
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    Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems Using Feature Importance Fusion by Rengasamy, Divish, Rothwell, Benjamin C., Figueredo, Grazziela P.

    Published in Applied sciences (01-12-2021)
    “…When machine learning supports decision-making in safety-critical systems, it is important to verify and understand the reasons why a particular output is…”
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    Journal Article
  4. 4

    A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM by Layton, James, Rothwell, Benjamin C., Ambrose, Stephen, Eastwick, Carol, Medina, Humberto, Rebelo, Neville

    Published in Lubricants (01-07-2023)
    “…Designing effective thermal management systems within transmission systems requires simulations to consider the contributions from phenomena such as…”
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    Journal Article
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    Statin-induced debilitating weakness and myopathy by Ademi, Besim, Folker, Jared, Rothwell, W Benjamin

    Published in BMJ case reports (05-02-2024)
    “…A large percentage of the US population is either receiving or should be considered for statin therapy. Whether through primary or secondary prevention for…”
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    Journal Article
  7. 7

    A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings by Cartwright, Samuel, Rothwell, Benjamin C., Figueredo, Grazziela, Medina, Humberto, Eastwick, Carol, Layton, James, Ambrose, Stephen

    Published in Tribology international (01-08-2024)
    “…Traditional methods of evaluating the performance of journal bearings, for example thermal-elastic-hydrodynamic- lubrication theory, are limited to simplified…”
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    Journal Article
  8. 8

    Recurrent Posterior Reversible Encephalopathy Syndrome Potentially Related to AIDS and End-Stage Renal Disease: A Case Report and Review of the Literature by Chang, Olivia Hui-Chiun, Stanculescu, Alexandra, Dola, Chi, Rothwell, William Benjamin

    Published in Case Reports in Medicine (01-01-2012)
    “…Posterior reversible encephalopathy syndrome (PRES) is a clinicoradiological syndrome that is characterized by clinical features including headache, altered…”
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    Journal Article
  9. 9

    Machine learning to determine the main factors affecting creep rates in laser powder bed fusion by Sanchez, Salomé, Rengasamy, Divish, Hyde, Christopher J., Figueredo, Grazziela P., Rothwell, Benjamin

    Published in Journal of intelligent manufacturing (01-12-2021)
    “…There is an increasing need for the use of additive manufacturing (AM) to produce improved critical application engineering components. However, the materials…”
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    Journal Article
  10. 10

    Design of robust ptfe faced bearings for performance and reliability in large rotating machinery by Rothwell, Benjamin Charles

    Published 01-01-2016
    “…In this thesis a Finite Element Modelling (FEM) approach is proposed for modelling the visco-plastic creep effects that a PTFE-faced thrust bearing would…”
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    Dissertation
  11. 11

    Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion by Rengasamy, Divish, Rothwell, Benjamin, Figueredo, Grazziela

    Published 11-09-2020
    “…When machine learning supports decision-making in safety-critical systems, it is important to verify and understand the reasons why a particular output is…”
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    Journal Article
  12. 12

    Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding by Bell1, Victoria, Rengasamy, Divish, Rothwell, Benjamin, Figueredo, Grazziela P

    Published 09-03-2022
    “…With substantial recent developments in aviation technologies, Unmanned Aerial Vehicles (UAVs) are becoming increasingly integrated in commercial and military…”
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    Journal Article
  13. 13

    Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines by Rengasamy, Divish, Rothwell, Benjamin, Figueredo, Grazziela P

    “…Asymmetric loss functions have been successfully applied to deep learning for image analysis and imbalanced classification. In this paper, we extend the use of…”
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    Conference Proceeding
  14. 14

    Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach by Rengasamy, Divish, Mase, Jimiama M, Torres, Mercedes Torres, Rothwell, Benjamin, Winkler, David A, Figueredo, Grazziela P

    Published 22-10-2021
    “…With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular…”
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    Journal Article
  15. 15

    EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python by Kumar, Aayush, Mase, Jimiama Mafeni, Rengasamy, Divish, Rothwell, Benjamin, Torres, Mercedes Torres, Winkler, David A, Figueredo, Grazziela P

    Published 08-08-2022
    “…This paper presents an open-source Python toolbox called Ensemble Feature Importance (EFI) to provide machine learning (ML) researchers, domain experts, and…”
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    Journal Article
  16. 16

    An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics by Rengasamy, Divish, Mase, Jimiama M, Rothwell, Benjamin, Figueredo, Grazziela P.

    “…Machine Learning (ML) has been largely employed to sensor data for predicting the Remaining Useful Life (RUL) of aircraft components with promising results. A…”
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    Conference Proceeding
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