Classifying Occupancy Levels in Smart Building by Experimental Evaluation of KNN and its Variants-Reference-Cited by-同舟云学术

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Classifying Occupancy Levels in Smart Building by Experimental Evaluation of KNN and its Variants

Published:2024-05-20 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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Author:

Fizza Ghulam¹,Kadir Kushsairy¹,Nasir Haidawati²,Idrus S.M.³,Mohamed M.Z.⁴

Affiliation:

1. Universiti Kuala Lumpur British Malaysian Institute (UniKL BMI),Department of Electrical and Electronic Engineering,Selangor,Malaysia

2. Universiti Kuala Lumpur, Malaysian Institute of Information Technology(UniKL MIIT),Department of Computer Engineering,Kuala Lumpur,Malaysia

3. Universiti Teknologi Malaysia,Faculty of Electrical Engineering,Johor Bahru,Johor,Malaysia,81310

4. Group Technology Solution, Petronas Twin Tower,Kuala Lumpur,Malaysia,50088

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560479/10560519/10560807.pdf?arnumber=10560807

Reference18 articles.

1. Fit-for-purpose: Measuring occupancy to support commercial building operations: A review

2. Building occupancy estimation using microwave Doppler radar and wavelet transform

3. Estimating Indoor Occupancy Through Low-Cost BLE Devices

4. Optimizing energy consumption and occupants comfort in open-plan offices using local control based on occupancy dynamic data

5. A systematic approach to occupancy modeling in ambient sensor-rich buildings

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