Predicting the Poaceae pollen concentration in the air using time series models

被引:0
|
作者
Rojo, J. [1 ]
Rapp, A. [1 ]
Lara, B. [1 ]
Romero, J. [1 ]
Perez-Badia, R. [1 ]
机构
[1] Univ Castilla La Mancha, Environm Sci, Toledo, Spain
关键词
D O I
暂无
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
443
引用
收藏
页码:215 / 215
页数:1
相关论文
共 50 条
  • [21] Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region
    Rodriguez-Rajo, F. J.
    Astray, G.
    Ferreiro-Lage, J. A.
    Aira, M. J.
    Jato-Rodriguez, M. V.
    Mejuto, J. C.
    NEURAL NETWORKS, 2010, 23 (03) : 419 - 425
  • [22] Air Pollution Prediction Using an Ensemble of Dynamic Transfer Models for Multivariate Time Series
    Kong, Taewoon
    Choi, Dongguen
    Lee, Geonseok
    Lee, Kichun
    SUSTAINABILITY, 2021, 13 (03) : 1 - 17
  • [23] Advancing air quality forecasting in Abu Dhabi, UAE using time series models
    Ramadan, Mona S.
    Abuelgasim, Abdelgadir
    Al Hosani, Naeema
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [24] Poaceae pollen in the atmosphere of Tetouan (NW Morocco): effect of meteorological parameters and forecast of daily pollen concentration
    Janati, Asmae
    Bouziane, Hassan
    del Mar Trigo, Maria
    Kadiri, Mohamed
    Kazzaz, Mohamed
    AEROBIOLOGIA, 2017, 33 (04) : 517 - 528
  • [25] Fuzzy models for predicting time series stock price index
    Heesoo Hwang
    Jinsung Oh
    International Journal of Control, Automation and Systems, 2010, 8 : 702 - 706
  • [26] Fuzzy Models for Predicting Time Series Stock Price Index
    Hwang, Heesoo
    Oh, Jinsung
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2010, 8 (03) : 702 - 706
  • [27] Metaheuristic Optimization of Time Series Models for Predicting Networks Traffic
    Alkanhel, Reem
    El-kenawy, El-Sayed M.
    Elsheweikh, D. L.
    Abdelhamid, Abdelaziz A.
    Ibrahim, Abdelhameed
    Khafaga, Doaa Sami
    CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 75 (01): : 427 - 442
  • [28] Poaceae pollen in the atmosphere of Tetouan (NW Morocco): effect of meteorological parameters and forecast of daily pollen concentration
    Asmae Janati
    Hassan Bouziane
    Maria del Mar Trigo
    Mohamed Kadiri
    Mohamed Kazzaz
    Aerobiologia, 2017, 33 : 517 - 528
  • [29] Improving Predicting Power of EGARCH Models for Financial Time Series Volatility by Using Google Trend
    Risteski, Dimche
    Sadoghi, Amirhossein
    Davcev, Danco
    INTERNATIONAL CONFERENCE ON FRONTIERS OF ENERGY, ENVIRONMENTAL MATERIALS AND CIVIL ENGINEERING (FEEMCE 2013), 2013, : 312 - 316
  • [30] A METHOD FOR PREDICTING HIGH-RESOLUTION TIME SERIES USING SEQUENCE-TO-SEQUENCE MODELS
    Woerrlein, Benjamin
    Strassburger, Steffen
    2020 WINTER SIMULATION CONFERENCE (WSC), 2020, : 1075 - 1086