Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system-Reference-Cited by-同舟云学术

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Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system

Published:2022-10 Issue: Volume:141 Page:103700
ISSN:0166-3615
Container-title:Computers in Industry
language:en
Short-container-title:Computers in Industry

Author:

Wu Wei,Chen Wei,Fu Yelin,Jiang Yishuo,Huang George Q.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Innovation and Technology Commission - Hong Kong

Guangdong Provincial Department of Science and Technology

Innovation and Technology Fund

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference33 articles.

1. A worldwide sectorial analysis of sustainability reporting and its impact on firm performance;Al Hawaj;J. Sustain. Financ. Invest.,2021

2. Why and how investors use ESG information: evidence from a global survey;Amel-Zadeh;Financ. Anal. J.,2018

3. The natural environmental strategies of international firms: old controversies and new evidence on performance and disclosure;Aragon-Correa;Acad. Manag. Perspect.,2016

4. From trustworthy data to trustworthy IoT: a data collection methodology based on blockchain;Ardagna;ACM Trans. Cyber Phys. Syst.,2021

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