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Rhett T. George

Also published under: R. T. George, R. George

Affiliation

Department of Electrical and Computer Engineering

Duke University

Durham, NC, USA

Publication Topics

Biography

Rhett T. George, photograph and biography not available at the time of publication.(Based on document published on 4 December 2009).

Publications

Citations

182

Publications by Year

19792010

Co-Authors:

Show All Co-Authors (19)

Author's Published Works

Showing 1-10 of 10 results

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AI-Based Surrogate Models of Digital Twins for Industrial Processes

Emmanuel Lwele;Alex Shenfield

2024 IEEE Industrial Electronics and Applications Conference (IEACon)

Year: 2024 | Conference Paper |

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AI-Based Surrogate Models of Digital Twins for Industrial Processes

Emmanuel Lwele;Alex Shenfield

2024 IEEE Industrial Electronics and Applications Conference (IEACon)

Year: 2024 | Conference Paper |

Anomaly Detection for the Internet-of-Medical-Things

Alan Reji;Bernardi Pranggono;Jims Marchang;Alex Shenfield

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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Anomaly Detection for the Internet-of-Medical-Things

Alan Reji;Bernardi Pranggono;Jims Marchang;Alex Shenfield

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

Year: 2023 | Conference Paper |

Machine learning for mortality risk prediction with changing patient demographics

Richard Wainwright;Alex Shenfield

2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2023 | Conference Paper |

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Machine learning for mortality risk prediction with changing patient demographics

Richard Wainwright;Alex Shenfield

2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2023 | Conference Paper |

Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies

Surya Kasturi;William T. Tran;Alex Shenfield

2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2022 | Conference Paper |

Cited by: Papers (3)

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Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies

Surya Kasturi;William T. Tran;Alex Shenfield

2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2022 | Conference Paper |

Deep Learning Meets Cognitive Radio: Predicting Future Steps

Alex Shenfield;Zaheer Khan;Hamed Ahmadi

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Year: 2020 | Conference Paper |

Cited by: Papers (2)

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Deep Learning Meets Cognitive Radio: Predicting Future Steps

Alex Shenfield;Zaheer Khan;Hamed Ahmadi

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)

Year: 2020 | Conference Paper |

Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping

Huilian Liao;Jovica V. Milanović;Marcos Rodrigues;Alex Shenfield

IEEE Transactions on Power Delivery

Year: 2018 | Volume: 33, Issue: 6 | Journal Article |

Cited by: Papers (58)

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Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping

Huilian Liao;Jovica V. Milanović;Marcos Rodrigues;Alex Shenfield

IEEE Transactions on Power Delivery

Year: 2018 | Volume: 33, Issue: 6 | Journal Article |

A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions

Alex Shenfield;Marcos Rodrigues;Hossam Nooreldeen;Jeronimo Moreno-Cuesta

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions

Alex Shenfield;Marcos Rodrigues;Hossam Nooreldeen;Jeronimo Moreno-Cuesta

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2017 | Conference Paper |

Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance

Alex Shenfield;Shahin Rostami

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2017 | Conference Paper |

Cited by: Papers (15)

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Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance

Alex Shenfield;Shahin Rostami

2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2017 | Conference Paper |

A multi objective approach to evolving artificial neural networks for coronary heart disease classification

Alex Shenfield;Shahin Rostami

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2015 | Conference Paper |

Cited by: Papers (6)

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A multi objective approach to evolving artificial neural networks for coronary heart disease classification

Alex Shenfield;Shahin Rostami

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2015 | Conference Paper |

CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation

Shahin Rostami;Alex Shenfield

2012 12th UK Workshop on Computational Intelligence (UKCI)

Year: 2012 | Conference Paper |

Cited by: Papers (6)

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CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation

Shahin Rostami;Alex Shenfield

2012 12th UK Workshop on Computational Intelligence (UKCI)

Year: 2012 | Conference Paper |

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Author details

Rhett T. George

Rhett T. George

Affiliation

Publication Topics

Biography

Showing 1-10 of 10 results

Show

AI-Based Surrogate Models of Digital Twins for Industrial Processes

AI-Based Surrogate Models of Digital Twins for Industrial Processes

Anomaly Detection for the Internet-of-Medical-Things

Anomaly Detection for the Internet-of-Medical-Things

Machine learning for mortality risk prediction with changing patient demographics

Machine learning for mortality risk prediction with changing patient demographics

Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies

Accurate Nuclei Segmentation in Breast Cancer Tumour Biopsies

Deep Learning Meets Cognitive Radio: Predicting Future Steps

Deep Learning Meets Cognitive Radio: Predicting Future Steps

Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping

Voltage Sag Estimation in Sparsely Monitored Power Systems Based on Deep Learning and System Area Mapping

A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions

A novel hybrid differential evolution strategy applied to classifier design for mortality prediction in adult critical care admissions

Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance

Multi-objective evolution of artificial neural networks in multi-class medical diagnosis problems with class imbalance

A multi objective approach to evolving artificial neural networks for coronary heart disease classification

A multi objective approach to evolving artificial neural networks for coronary heart disease classification

CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation

CMA-PAES: Pareto archived evolution strategy using covariance matrix adaptation for Multi-Objective Optimisation

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Rhett T. George

Rhett T. George

Affiliation

Publication Topics

Biography

Showing 1-10 of 10 results

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