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Indoor Occupancy Detection and Estimation using Machine Learning and Measurements from an IoT LoRa-based Monitoring System

机译：使用机器学习和基于IOT Lora的监控系统的机器学习和测量的室内占用检测和估算

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Ramoni Adeogun; Ignacio Rodriguez; Mohammad Razzaghpour; Gilberto Berardinelli; Per Hartmann Christensen; Preben Elgaard Mogensen;
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年度 2019
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1. A novel feature selection framework with Hybrid Feature-Scaled Extreme Learning Machine (HFS-ELM) for indoor occupancy estimation [J] . Masood Mustafa K., Jiang Chaoyang, Soh Yeng Chai Energy and Buildings . 2018,第PTa2期

机译：一种具有混合特征量级极限学习机（HFS-ELM）的新颖特征选择框架，用于室内占用率估算
2. IoT-based occupancy detection system in indoor residential environments [J] . Jeon Yunwan, Cho Chanho, Seo Jongwoo, Building and Environment . 2018,第MARa期

机译：室内居住环境中基于IoT的占用检测系统
3. Pollutant Recognition Based on Supervised Machine Learning for Indoor Air Quality Monitoring Systems [J] . Shaharil Mad Saad, Allan Melvin Andrew, Ali Yeon Md Shakaff, Applied Sciences . 2017,第8期

机译：基于监督机器学习的室内空气质量监测系统污染物识别
4. Indoor Occupancy Detection and Estimation using Machine Learning and Measurements from an IoT LoRa-based Monitoring System [C] . Ramoni Adeogun, Ignacio Rodriguez, Mohammad Razzaghpour, 2019 Global IoT Summit . 2019

机译：使用基于IoT LoRa的监控系统中的机器学习和测量进行室内占用检测和估计
5. Intrusion Detection in IoT Systems Using Machine Learning Algorithms [D] . ?Basalan, Abdurrahman 2020

机译：使用机器学习算法的IOT系统入侵检测
6. Performance Analysis of IoT-Based Sensor Big Data Processing and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing [O] . Muhammad Syafrudin, Ganjar Alfian, Norma Latif Fitriyani, 2018

机译：汽车制造业实时监控系统中基于物联网的传感器大数据处理和机器学习模型的性能分析
7. SISME, Estuarine Monitoring System Based on IOT and Machine Learning for the Detection of Salt Wedge in Aquifers: Case Study of the Magdalena River Estuary [O] . Paola Patricia Ariza-Colpas, Cristian Eduardo Ayala-Mantilla, Qaisar Shaheen, 2021

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Indoor Occupancy Detection and Estimation using Machine Learning and Measurements from an IoT LoRa-based Monitoring System

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