Brian Salmon

Brian Salmon

University of Tasmania

H-index: 17

Oceania-Australia

About Brian Salmon

Brian Salmon, With an exceptional h-index of 17 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Tasmania, specializes in the field of Time Series Analysis, Statistical Signal Processing, Bayesian Inference, Graph Theory, Information Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine learning classification of metallic objects using pulse induction electromagnetic data

Feature analysis and prediction of hypoxemic events for preterm infants

Prediction of bradycardia in preterm infants using artificial neural networks

A flux based approximation to simulate coupled hydromechanical problems for mines with heterogeneous rock types using the material point method

Simulating hydraulic fracturing preconditioning in mines with the material point method

Simulating mining-induced seismicity using the material point method

A Parsimonious Neural Network for the Classification of Modis Time-Series

Using The GAF Transform and MODIS Time-Series to Perform Landcover Classification and Change Detection

Brian Salmon Information

University

Position

___

Citations(all)

1386

Citations(since 2020)

767

Cited By

971

hIndex(all)

17

hIndex(since 2020)

14

i10Index(all)

26

i10Index(since 2020)

17

Email

University Profile Page

University of Tasmania

Google Scholar

View Google Scholar Profile

Brian Salmon Skills & Research Interests

Time Series Analysis

Statistical Signal Processing

Bayesian Inference

Graph Theory

Information Theory

Top articles of Brian Salmon

Title

Journal

Author(s)

Publication Date

Machine learning classification of metallic objects using pulse induction electromagnetic data

Measurement Science and Technology

Ryan Thomas

Brian Salmon

Damien Holloway

Jan Olivier

2024/2/23

Feature analysis and prediction of hypoxemic events for preterm infants

IEEE Transactions on Instrumentation and Measurement

Haimin Jiang

Brian Salmon

Timothy Gale

Peter A Dargaville

2023/11/28

Prediction of bradycardia in preterm infants using artificial neural networks

Machine Learning with Applications

Haimin Jiang

Brian P Salmon

Timothy J Gale

Peter A Dargaville

2022/12/15

A flux based approximation to simulate coupled hydromechanical problems for mines with heterogeneous rock types using the material point method

Gysbert Basson

Andrew Bassom

Brian Salmon

2022/1/1

Simulating hydraulic fracturing preconditioning in mines with the material point method

Journal of Applied Geophysics

Gysbert Basson

Andrew P Bassom

Brian Salmon

2021/12/1

Simulating mining-induced seismicity using the material point method

Rock Mechanics and Rock Engineering

Gys Basson

Andrew P Bassom

Brian Salmon

2021/9

A Parsimonious Neural Network for the Classification of Modis Time-Series

Trienko L Grobler

Waldo Kleynhans

Brian P Salmon

2021/7/11

Using The GAF Transform and MODIS Time-Series to Perform Landcover Classification and Change Detection

Trienko L Grobler

Waldo Kleynhans

Brian P Salmon

2021/7/11

Predicting apnoeic events in preterm infants

Kathleen Lim

Haimin Jiang

Andrew P Marshall

Brian Salmon

Timothy J Gale

...

2020/9/16

Unsupervised Sequential Classification of Modis Time-Series

Trienko L Grobler

Waldo Kleynhans

Brian P Salmon

Christiaan Neil Burger

2020/9/26

See List of Professors in Brian Salmon University(University of Tasmania)

Co-Authors

H-index: 38
Konrad Wessels

Konrad Wessels

George Mason University

H-index: 29
Damien Holloway

Damien Holloway

University of Tasmania

H-index: 17
Alan D Henderson

Alan D Henderson

University of Tasmania

H-index: 15
Timothy John Gale

Timothy John Gale

University of Tasmania

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