Embedded Real-Time Clothing Classifier Using One-Stage Methods for Saving Energy in Thermostats

Embedded Real-Time Clothing Classifier Using One-Stage Methods for Saving Energy in Thermostats

Energy-saving is a mandatory research topic since the growing population demands additional energy yearly. Moreover, climate change requires more attention to reduce the impact of generating more CO<sub>2</sub>. As a result, some new research areas need to be explored to create innovativ...

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Bibliographic Details
Main Authors: Adán Medina, Juana Isabel Méndez, Pedro Ponce, Therese Peffer, Arturo Molina
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
energy saving
clothing insulation
embedded system
thermal comfort
deep learning
computer vision
Online Access:https://www.mdpi.com/1996-1073/15/17/6117

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https://www.mdpi.com/1996-1073/15/17/6117

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