Prediction of Temperature and Humidity at Telkom University Landmark Tower (TULT) Using Support Vector Machine (SVM) and Internet of Things (IoT)-Reference-Cited by-同舟云学术

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Prediction of Temperature and Humidity at Telkom University Landmark Tower (TULT) Using Support Vector Machine (SVM) and Internet of Things (IoT)

Published:2023-08-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Data Science and Its Applications (ICoDSA)
language:
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Author:

Albert Antonio¹,Nuha Hilal H.¹,Mugitama Satria Akbar¹

Affiliation:

1. Telkom University,School of Computing,Bandung,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275799/10276405/10276861.pdf?arnumber=10276861

Reference14 articles.

1. Vertical Wind Profile Estimation Using Hybrid Convolutional Neural Networks and Bidirectional Long Short-Term Memory

2. A STOCK PREDICTION SYSTEM USING TEKNIKAL INDICATORS WITH THE LSTM METHOD

3. Estimasi Utilisasi Prosesor pada Jaringan Interkoneksi Optik menggunakan Regresi Gaussian

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1. IoT-Based Machine Learning System for Physical Intrusion Detection Using Dynamic Temperature and Humidity Observations With Raspberry Pi;TEM Journal;2024-05-28

2. Internet of Things (IoT) for Exhaust Emissions on Motor Vehicles Monitoring;2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA);2023-12-13

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