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Farnad Nasirzadeh

Deakin University - Geelong Waterfront Campus

Geelong

Australia

  • Deakin University - Geelong Waterfront Campus

SCHOLARLY PAPERS

4

DOWNLOADS

327

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Deep Learning and Object Detection of ‘Small’  Assets in Rail Construction: Challenges and Opportunities

Number of pages: 93 Posted: 21 Oct 2024
Hadi MAHAMIVANAN, Jane Matthews, Peter Love and Farnad Nasirzadeh
Deakin University - Geelong Waterfront Campus, Deakin University - Geelong Waterfront Campus, Curtin University - School of Civil and Mechanical Engineering and Deakin University - Geelong Waterfront Campus
Downloads 113 (630,858)

Abstract:

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Deep learning, performance metrics, object detection, rail assets, small objects.

2.

Deep Learning-Based Point Cloud Completion for Rail Infrastructure Assets with a Novel Loss Function: Enhancing Quality Monitoring

Number of pages: 68 Posted: 29 Jan 2025
Hadi MAHAMIVANAN, Jane Matthews, Peter Love and Farnad Nasirzadeh
Deakin University - Geelong Waterfront Campus, Deakin University - Geelong Waterfront Campus, Curtin University - School of Civil and Mechanical Engineering and Deakin University - Geelong Waterfront Campus
Downloads 102 (684,672)

Abstract:

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Deep Learning, point cloud completion, reconstruction loss, large-scale point clouds, quality monitoring

3.

Continuous Monitoring of Body Temperature for Objective Detection of Health and Safety Risks in Construction Sites: An Analysis of the Accuracy and Comfort of Off-the-Shelf Wearable Sensors

Number of pages: 34 Posted: 29 Dec 2023
Farnad Nasirzadeh, Chandan Karmakar, Ahsan Habib, Kevin Benny Neelangal, Mostafa Mir, SangHyun Lee and Tony Arnel
Deakin University - Geelong Waterfront Campus, Deakin University, Deakin University, Deakin University - Geelong Waterfront Campus, Deakin University, University of Michigan at Ann Arbor and Deakin University - Geelong Waterfront Campus
Downloads 79 (823,616)

Abstract:

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Body temperature monitoring, Wearable sensors, Health, Safety, Construction industry

4.

Assessing Neural Markers of Attention During Exposure to Construction Noise Using Machine Learning Classification of Electroencephalogram Data

Number of pages: 26 Posted: 18 Jan 2024
Mostafa Mir, Farnad Nasirzadeh, Morteza Zakeri-Nasrabadi, Aron T. Hill and Chandan Karmakar
Deakin University, Deakin University - Geelong Waterfront Campus, Iran University of Science and Technology, Monash University and Deakin University
Downloads 33 (1,290,922)

Abstract:

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Construction noise, Attention state, machine learning, EEG data