AirNet: predictive machine learning model for air quality forecasting using web interface

被引：0
|
作者：
Rahman, Md. Mahbubur [1 ]
Nayeem, Md. Emran Hussain [2 ]
Ahmed, Md. Shorup [2 ]
Tanha, Khadiza Akther [2 ]
Sakib, Md. Shahriar Alam [2 ]
Uddin, Khandaker Mohammad Mohi [3 ]
Babu, Hafiz Md. Hasan [4 ]
机构：
[1] Department of Computer Science and Engineering, Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh
[2] Department of Computer Science and Engineering, Dhaka International University, Dhaka, Bangladesh
[3] Department of Computer Science and Engineering, Southeast University, Dhaka, Bangladesh
[4] Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh
来源：
Environmental Systems Research | / 13卷 / 01期
关键词：
Air pollutant feature extraction - Air pollutants - Air quality prediction - Django-based web interface - Environmental science - Features extraction - Machine learning in environmental science - Machine-learning - Real- time - Real-time air quality prediction - Web interface;
D O I：
10.1186/s40068-024-00378-z
中图分类号：
学科分类号：
摘要：
57
引用
收藏
相关论文
共 50 条
  • [41] Model predictive engine air-ratio control using online sequential extreme learning machine
    Wong, Pak Kin
    Wong, Hang Cheong
    Vong, Chi Man
    Xie, Zhengchao
    Huang, Shaojia
    NEURAL COMPUTING & APPLICATIONS, 2016, 27 (01): : 79 - 92
  • [42] A Machine Learning Predictive Model for Shipment Delay and Demand Forecasting for Warehouses and Sales Data
    Keung, K. L.
    Lee, C. K. M.
    Yiu, Y. H.
    2021 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM21), 2021, : 1010 - 1014
  • [43] Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
    Du, Shengdong
    Li, Tianrui
    Yang, Yan
    Horng, Shi-Jinn
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (06) : 2412 - 2424
  • [44] Interface agent of forecasting support system and machine learning
    Li, Ying
    Liu, Bao
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2000, 20 (12): : 73 - 76
  • [45] Forecasting Air Travel Demand for Selected Destinations Using Machine Learning Methods
    Firat, Murat
    Yiltas-Kaplan, Derya
    Samli, Ruya
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2021, 27 (06) : 564 - 581
  • [46] 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
    LIGHT-SCIENCE & APPLICATIONS, 2017, 6 : e17046 - e17046
  • [47] Air Quality Prediction System Using Machine Learning Models
    Chaturvedi, Pooja
    WATER AIR AND SOIL POLLUTION, 2024, 235 (09):
  • [48] Predicting the quality of air using supervised techniques of machine learning
    Sai Kumar, G.
    Mahalakshmi, D.
    Test Engineering and Management, 2019, 81 (11-12): : 5393 - 5398
  • [49] 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
    Light: Science & Applications, 2017, 6 : e17046 - e17046
  • [50] A Predictive Model for Power Consumption Estimation Using Machine Learning
    Aboubakar, Moussa
    Quenel, Ilhem
    Ari, Ado Adamou Abba
    INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND ENERGY TECHNOLOGIES (ICECET 2021), 2021, : 61 - 65
12345