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Gennady Lubarsky

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Articles

LaserFit: A Low-Cost Laser-Based Optical Power Meter for Cycling

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By Gennady Lubarsky
| preprints.org
You are already at the latest version Cycling is one of the most popular sports and recreational activities. Millions of new people start to integrate bicycling into their daily routines every year. Fitness and activity trackers are the most powerful motivation tools for cycling novices and serious cycling enthusiasts. For this purpose, we present LaserFit, a laser-based direct force power meter for fitness and activity tracking during cycling.
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Machine Learning-Based Structural Health Monitoring Technique for Crack Detection and Localisation Using Bluetooth Strain Gauge Sensor Network

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By Tahereh Shah Mansouri, Gennady Lubarsky, Dewar Finlay, James McLaughlin, James Mclaughlin
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Machine Learning-Based Structural Health Monitoring Technique for Crack Detection and Localisation Using Bluetooth Strain Gauge Sensor Network

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By Tahereh Shah Mansouri, Gennady Lubarsky, Dewar Finlay, James McLaughlin, James Mclaughlin
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 20 September 2024 / Approved: 20 September 2024 / Online: 21 September 2024 (06:13:34 CEST) Shah Mansouri, T.; Lubarsky, G.; Finlay, D.; McLaughlin, J. Machine Learning-Based Structural Health Monitoring Technique for Crack Detection and Localisation Using Bluetooth Strain Gauge Sensor Network. Preprints 2024, 2024091639.
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