Are Neural Networks Really the Holy Grail? A Comparison of Multivariate Calibration for Low-cost Environmental Sensors

Fang, Xinwei, Bate, Iain John orcid.org/0000-0003-2415-8219 and Griffin, David Jack orcid.org/0000-0002-4077-0005 (2021) Are Neural Networks Really the Holy Grail? A Comparison of Multivariate Calibration for Low-cost Environmental Sensors. In: Science and Technologies for Smart Cities:6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings. Springer , LNICST , pp. 442-461.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Dates:
  • Published: 21 May 2021
  • Accepted: 26 November 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Funding Information:
Funder
Grant number
EUROPEAN COMMISSION
UNSPECIFIED
Depositing User: Pure (York)
Date Deposited: 10 Aug 2021 09:30
Last Modified: 13 Nov 2024 09:24
Status: Published
Publisher: Springer
Open Archives Initiative ID (OAI ID):

Download

Accepted Version

Filename: _Camera_Ready_Are_Neural_Networks_Really_the_Holy_Grail_A_Comparison_of_Multivariate_Calibration_for_Low_cost_Environmental_Sensors.pdf

Description: _Camera_Ready_Are_Neural_Networks_Really_the_Holy_Grail____A_Comparison_of_Multivariate_Calibration_for_Low_cost_Environmental_Sensors

CLICK TO DOWNLOAD [thumbnail of _Camera_Ready_Are_Neural_Networks_Really_the_Holy_Grail____A_Comparison_of_Multivariate_Calibration_for_Low_cost_Environmental_Sensors]

Export

Statistics


CORE (COnnecting REpositories)