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Machine learning for understanding ecological processes in lentic waters
Guest editors: Chenxi Mi, Xiangzhen Kong, Yi Luo
Following the technological breakthrough achieved in artificial intelligence, an increasing number of studies nowadays applied machine learning (ML) models to elucidate ecological processes in lentic waters (e.g. lakes, reservoirs and wetlands). …
Submission deadline: 01 September 2024
Sustainable Land Planning
Guest editors: Irene Petrosillo, Maria Laura Carranza, Donatella Valente - Submission deadline: 30 June 2024
The 2030 Agenda for Sustainable Development promotes through its goals the sustainable land development leading to zero land consumption. Today, in many spatial contexts, development is being planned towards a turnaround in landscape planning, …
Special issues and article collections
Machine learning for understanding ecological processes in lentic waters
Edited by Dr. Chenxi Mi, Dr. Xiangzhen Kong, Professor Yi Luo
15 April 2024
Sustainability Solutions
Edited by Professor João Carlos Marques (University of Coimbra Department of Life Sciences, Coimbra, , Portugal)
5 February 2024
Sustainable Land Planning
Edited by Irene Petrosillo, Donatella Valente, Maria Laura Carranza
8 January 2024
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Environmental and Sustainability Indicators, a companion title to the highly-respected Ecological Indicators, is an open access journal promoting research on indicators as drivers for environmental management, policy formulation, and interdisciplinary research assessing complex environmental …
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Print ISSN: 1470-160X
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