Development of electromagnetic pollution maps utilizing Gaussian process spatial models

被引:0
|
作者
Kiouvrekis, Yiannis [1 ,2 ,4 ]
Zikas, Sotiris [1 ]
Katis, Ilias [1 ]
Tsilikas, Ioannis [3 ]
Filippopoulos, Ioannis [4 ]
机构
[1] Mathematics, Computer Science and Artificial Intelligence Laboratory (MCSAI Lab), Department of Public and One Health, University of Thessaly, Terma Mavromichali, Thessaly, Karditsa,43100, Greece
[2] Business School, University of Nicosia, 46 Makedonitissas Ave, Nicosia,2417, Cyprus
[3] National Technical University of Athens, Dept. Applied Physics and Mathematics, Iroon Polytechniou 9, Zografou, Athens,15772, Greece
[4] University of Limassol, Agias Fylaxeos, Limassol,3025, Cyprus
关键词
Interpolation;
D O I
10.1016/j.scitotenv.2024.176907
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Fast covariance parameter estimation of spatial Gaussian process models using neural networks
    Gerber, Florian
    Nychka, Douglas
    STAT, 2021, 10 (01):
  • [22] LONGTERM ELECTROMAGNETIC FIELD MEASUREMENTS AND POLLUTION MAPS IN A UNIVERSITY CAMPUS
    Karadag, Teoman
    Ozdemir, Ali Riza
    Abbasov, Teymuraz
    PAMUKKALE UNIVERSITY JOURNAL OF ENGINEERING SCIENCES-PAMUKKALE UNIVERSITESI MUHENDISLIK BILIMLERI DERGISI, 2014, 20 (08): : 314 - 318
  • [23] Spatial coherence of azimuthally symmetric Gaussian electromagnetic beams
    Seshadri, SR
    JOURNAL OF APPLIED PHYSICS, 2000, 88 (12) : 6973 - 6980
  • [24] Evaluating Gaussian Grasp Maps for Generative Grasping Models
    Prew, William
    Breckon, Toby
    Bordewich, Magnus
    Beierholm, Ulrik
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [25] Symplectic Gaussian process regression of maps in Hamiltonian systems
    Rath, Katharina
    Albert, Christopher G.
    Bischl, Bernd
    von Toussaint, Udo
    CHAOS, 2021, 31 (05)
  • [26] Utilizing scale-down models in the cell culture development process.
    Kaneshiro, S
    Kiss, R
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2001, 221 : U124 - U125
  • [27] Treed Gaussian Process Models for Classification
    Broderick, Tamara
    Gramacy, Robert B.
    CLASSIFICATION AS A TOOL FOR RESEARCH, 2010, : 101 - 108
  • [28] Gaussian Process Neural Additive Models
    Zhang, Wei
    Barr, Brian
    Paisley, John
    THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 15, 2024, : 16865 - 16872
  • [29] On the Identifiability and Interpretability of Gaussian Process Models
    Chen, Jiawen
    Mu, Wancen
    Li, Yun
    Li, Didong
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [30] Revisiting Gaussian Process Dynamical Models
    Zhao, Jing
    Sun, Shiliang
    PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015, : 1047 - 1053