Predicting Restroom Dirtiness Based on Water Droplet Volume Using the LightGBM Algorithm

Predicting Restroom Dirtiness Based on Water Droplet Volume Using the LightGBM Algorithm

This study examines restroom cleanliness in public facilities, department stores, supermarkets, and schools by using water droplet volumes around washbowls as an indicator of usage. Rising cleaning costs due to labour shortages necessitate more efficient restroom maintenance. Quantifying water dropl...

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Bibliographic Details
Main Authors: Sumio Kurose, Hironori Moriwaki, Tadao Matsunaga, Sang-Seok Lee
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
restroom dirtiness
LightGBM
data augmentation techniques
water droplet volume prediction
cleaning schedule prediction
Online Access:https://www.mdpi.com/1424-8220/25/7/2186
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