Search Results - "Rothwell, Benjamin"
-
1
Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management
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…”
Get full text
Journal Article -
2
Feature importance in machine learning models: A fuzzy information fusion approach
Published in Neurocomputing (Amsterdam) (28-10-2022)Get full text
Journal Article -
3
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems Using Feature Importance Fusion
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…”
Get full text
Journal Article -
4
A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM
Published in Lubricants (01-07-2023)“…Designing effective thermal management systems within transmission systems requires simulations to consider the contributions from phenomena such as…”
Get full text
Journal Article -
5
Successful Clearance of 300 Day SARS-CoV-2 Infection in a Subject with B-Cell Depletion Associated Prolonged (B-DEAP) COVID by REGEN-COV Anti-Spike Monoclonal Antibody Cocktail
Published in Viruses (23-06-2021)“…A 59-year-old male with follicular lymphoma treated by anti-CD20-mediated B-cell depletion and ablative chemotherapy was hospitalized with a COVID-19…”
Get full text
Journal Article -
6
Statin-induced debilitating weakness and myopathy
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…”
Get more information
Journal Article -
7
A machine learning-driven approach to predicting thermo-elasto-hydrodynamic lubrication in journal bearings
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…”
Get full text
Journal Article -
8
Recurrent Posterior Reversible Encephalopathy Syndrome Potentially Related to AIDS and End-Stage Renal Disease: A Case Report and Review of the Literature
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…”
Get full text
Journal Article -
9
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion
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…”
Get full text
Journal Article -
10
Design of robust ptfe faced bearings for performance and reliability in large rotating machinery
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…”
Get full text
Dissertation -
11
Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion
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…”
Get full text
Journal Article -
12
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding
Published 09-03-2022“…With substantial recent developments in aviation technologies, Unmanned Aerial Vehicles (UAVs) are becoming increasingly integrated in commercial and military…”
Get full text
Journal Article -
13
Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines
Published in 2020 International Joint Conference on Neural Networks (IJCNN) (01-07-2020)“…Asymmetric loss functions have been successfully applied to deep learning for image analysis and imbalanced classification. In this paper, we extend the use of…”
Get full text
Conference Proceeding -
14
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
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…”
Get full text
Journal Article -
15
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
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…”
Get full text
Journal Article -
16
An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics
Published in 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (01-10-2019)“…Machine Learning (ML) has been largely employed to sensor data for predicting the Remaining Useful Life (RUL) of aircraft components with promising results. A…”
Get full text
Conference Proceeding -
17
Index of Suspicion in the Nursery
Published in Neoreviews (Elk Grove Village, Ill.) (01-05-2008)Get full text
Journal Article