From time-series to 2D images for building occupancy prediction using deep transfer learning

From time-series to 2D images for building occupancy prediction using deep transfer learning

<p dir="ltr">Building occupancy information could aid energy preservation while simultaneously maintaining the end-user comfort level. Energy conservation becomes essential since energy resources are scarce and human dependency on appliances is only exponentially increasing. While in...

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Bibliographic Details
Main Author: Aya Nabil Sayed (17317006) (author)
Other Authors: Yassine Himeur (14158821) (author), Faycal Bensaali (12427401) (author)
Published: 2023
Subjects:
Engineering
Electronics, sensors and digital hardware
Environmental engineering
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Occupancy detection
Environmental data
Feature engineering
Image transformation
Deep learning
Convolutional neural network
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