An ensembled method for air quality monitoring and control using machine learning

被引：0
|
作者：
Livingston, S John [1 ]
Kanmani, S. Deepa [2 ]
Ebenezer, A. Shamila [3 ]
Sam, Dahlia [4 ]
Joshi, A. [5 ]
机构：
[1] The American College, Madurai, India
[2] Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India
[3] Department of Computer Science and Engineering Karunya University, Coimbatore, India
[4] Department of Information Technology, Dr.M.G.R. Educational and Research Institute, India
[5] Department of AI &DS, Panimalar Engineering College, Chennai, India
来源：
Measurement: Sensors | 2023年 / 30卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
10.1016/j.measen.2023.100914
中图分类号：
学科分类号：
摘要：
Air quality - Forecasting - Learning algorithms - Process monitoring - Quality control - Support vector machines
引用
收藏
相关论文
共 50 条
  • [1] Air quality monitoring using mobile microscopy and machine learning
    Wu, Yi-Chen
    Shiledar, Ashutosh
    Li, Yi-Cheng
    Wong, Jeffrey
    Feng, Steve
    Chen, Xuan
    Chen, Christine
    Jin, Kevin
    Janamian, Saba
    Yang, Zhe
    Ballard, Zachary Scott
    Gorocs, Zoltan
    Feizi, Alborz
    Ozcan, Aydogan
    [J]. LIGHT-SCIENCE & APPLICATIONS, 2017, 6 : e17046 - e17046
  • [2] Air quality monitoring using mobile microscopy and machine learning
    Yi-Chen Wu
    Ashutosh Shiledar
    Yi-Cheng Li
    Jeffrey Wong
    Steve Feng
    Xuan Chen
    Christine Chen
    Kevin Jin
    Saba Janamian
    Zhe Yang
    Zachary Scott Ballard
    Zoltán Göröcs
    Alborz Feizi
    Aydogan Ozcan
    [J]. Light: Science & Applications, 2017, 6 : e17046 - e17046
  • [3] Machine Learning Methods for Air Quality Monitoring
    Zaytar, Mohamed Akram
    El Amrani, Chaker
    [J]. 3RD INTERNATIONAL CONFERENCE ON NETWORKING, INFORMATION SYSTEM & SECURITY (NISS'20), 2020,
  • [4] Air Quality Monitoring Intelling System Using Machine Learning Techniques
    Rosero-Montalvo, Paul D.
    Caraguay-Procel, Jorge A.
    Jaramillo, Edgar D.
    Michilena-Calderon, Jaime M.
    Umaquinga-Criollo, Ana C.
    Mediavilla-Valverde, Mario
    Ruiz, Miguel A.
    Beltran, Luis A.
    Peluffo-Ordonez, D. H.
    [J]. PROCEEDINGS 3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER SCIENCE (INCISCOS 2018), 2018, : 75 - 80
  • [5] A novel method for Indoor Air Quality Control of Smart Homes using a Machine learning model
    Majdi, Ali
    Alrubaie, Ali Jawad
    Al-Wardy, Alia Haider
    Baili, Jamel
    Panchal, Hitesh
    [J]. ADVANCES IN ENGINEERING SOFTWARE, 2022, 173
  • [6] Imbalanced Classification in Diabetics Using Ensembled Machine Learning
    Kumar, M. Sandeep
    Khan, Mohammad Zubair
    Rajendran, Sukumar
    Noor, Ayman
    Dass, A. Stephen
    Prabhu, J.
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 72 (03): : 4397 - 4409
  • [7] Machine Learning (ML)-based Air Quality Monitoring using Vehicular Sensor Networks
    Duc Van Le
    Tham, Chen-Khong
    [J]. 2017 IEEE 23RD INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2017, : 65 - 72
  • [8] Eye state Prediction using Ensembled Machine Learning Models
    Singla, Dipali
    Rana, Prashant Singh
    [J]. 2016 INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT), VOL 2, 2016, : 246 - 250
  • [9] Forecast of NO2 concentrations based on coupled air quality model simulations and monitoring data using machine learning method
    Huang, Yong-Xi
    Zhu, Yun
    Xie, Yang-Hong
    Li, Hai-Xian
    Zhang, Zhi-Cheng
    Li, Jie
    Li, Jin-Ying
    Yuan, Ying-Zhi
    [J]. Zhongguo Huanjing Kexue/China Environmental Science, 2023, 43 (12): : 6225 - 6234
  • [10] Using Machine Learning to Forecast Air and Water Quality
    Silva, Carolina
    Fernandes, Bruno
    Oliveira, Pedro
    Novais, Paulo
    [J]. ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2, 2021, : 1210 - 1217
12345