Tree-structured parzen estimator optimized-automated machine learning assisted by meta–analysis for predicting biochar–driven N2O mitigation effect in constructed wetlands-Reference-Cited by-同舟云学术

Tree-structured parzen estimator optimized-automated machine learning assisted by meta–analysis for predicting biochar–driven N2O mitigation effect in constructed wetlands

Published:2024-03 Issue: Volume:354 Page:120335
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Jiang Bi-Ni,Zhang Ying-Ying,Zhang Zhi-Yong,Yang Yu-Li,Song Hai-Liang^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference86 articles.

1. D-SmartML: a distributed automated machine learning framework;Abd Elrahman,2020

2. Establishing release dynamics for plant nutrients from biochar;Angst;Glob. Change Biol. Bioenergy.,2013

3. Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach;Ashraf;Energy Convers. Manag.,2021

4. Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms;Bakay;J. Clean. Prod.,2021

5. Algorithms for hyper–parameter optimization;Bergstra,2011

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