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Christopher MacCarthy

Swinburne University of Technology

Cnr Wakefield and William Streets, Hawthorn Victor

3122 Victoria, 3122

Australia

  • Swinburne University of Technology

SCHOLARLY PAPERS

3

DOWNLOADS

195

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Video-Based Automatic People Counting for Public Transport:Video-Based Automatic People Counting for Public Transport: On-Bus Versus Off-Bus Deployment

Number of pages: 22 Posted: 07 Mar 2024
Christopher MacCarthy, Hadi Ghaderi, Prem Prakash Jayaraman, Felip Marti and Hussein Dia
Swinburne University of Technology, Swinburne University of Technology, Swinburne University of Technology, Swinburne University of Technology and Swinburne University of Technology
Downloads 98 (704,534)

Abstract:

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video analyticsautomatic passenger counting intelligent transport systemsdemand forecastingfield trialspublic transport

2.

An Ai Based Smart-Phone System for Asbestos Identification

Number of pages: 50 Posted: 22 Aug 2023
Rosalie Hocking, Michael Rolfe, Samantha Hayes, Meaghan Smith, Matthew Owen, Michael Spruth, Christopher MacCarthy, Abdur Forkan and Abhik Banerjee
Swinburne University of Technology, Swinburne University of Technology, affiliation not provided to SSRN, Swinburne University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, Swinburne University of Technology, Swinburne University of Technology and Swinburne University of Technology
Downloads 59 (970,490)

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Asbestos, Image Recognition, Hazardous Materials Identification

3.

Electricity Price Spike Forecasting via Multivariate AVGNet with Graph Neural Networks

Number of pages: 28 Posted: 05 Sep 2025
Tianshu Bao, Nariman Mahdavi, Christopher MacCarthy and Dana Rezazadegan
affiliation not provided to SSRN, affiliation not provided to SSRN, Swinburne University of Technology and Swinburne University of Technology
Downloads 38 (1,222,651)

Abstract:

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electricity price spikes forecasting, adaptive visibility graph(AVG), multivariate time series, graph neural network (GNN), oversampling