A Survey of Applications of Artificial Intelligence Algorithms in Eco-environmental Modelling
Kangsuk Kim, Joonhong Park
Environmental Engineering Research. 2009;14(2):102-110.   Published online 2009 Jun 30     DOI: https://doi.org/10.4491/eer.2009.14.2.102
Citations to this article as recorded by Crossref logo
Potential for Artificial Intelligence (AI) and Machine Learning (ML) Applications in Biodiversity Conservation, Managing Forests, and Related Services in India
Kadukothanahally Nagaraju Shivaprakash, Niraj Swami, Sagar Mysorekar, Roshni Arora, Aditya Gangadharan, Karishma Vohra, Madegowda Jadeyegowda, Joseph M. Kiesecker
Sustainability.2022; 14(12): 7154.     CrossRef
Rangeland condition assessment in the Gobi Desert: A quantitative approach that places stakeholder evaluations front and Centre
Steve J. Sinclair, Otgonsuren Avirmed, Matthew D. White, Khorloo Batpurev, Peter A. Griffioen, Canran Liu, Sergelenkhuu Jambal, Hayley Sime, Kirk A. Olson
Ecological Economics.2021; 181: 106891.     CrossRef
SeeCucumbers: Using Deep Learning and Drone Imagery to Detect Sea Cucumbers on Coral Reef Flats
Joan Y. Q. Li, Stephanie Duce, Karen E. Joyce, Wei Xiang
Drones.2021; 5(2): 28.     CrossRef
Roles of geospatial technology in eco-industrial park site selection: State–of–the-art review
Steven Kuba Nuhu, Zainuddin Abdul Manan, Sharifah Rafidah Wan Alwi, Mohd Nadzri Md Reba
Journal of Cleaner Production.2021; 309: 127361.     CrossRef
Optimizing reservoir operation to avoid downstream physical habitat loss using coupled ANFIS- metaheuristic model
Mahdi Sedighkia, Bithin Datta, Asghar Abdoli
Earth Science Informatics.2021; 14(4): 2203.     CrossRef
Biological and ecological classification of biomimicry from a biology push standpoint
Haejin Bae, Eunok Lee
Ecosphere.2019;[Epub]     CrossRef
Adaptation of the Neyman-Pearson criteria for assessing the reliability of the choice of the method for determining the coefficients of the mathematical model of low-intensity electroretinosignal
P. Tymkiv
Scientific journal of the Ternopil national techni.2019; 93(1): 127.     CrossRef
A condition metric for Eucalyptus woodland derived from expert evaluations
Steve J. Sinclair, Matthew J. Bruce, Peter Griffioen, Amanda Dodd, Matthew D. White
Conservation Biology.2018; 32(1): 195.     CrossRef
A Data Mining Approach to Predict In Situ Detoxification Potential of Chlorinated Ethenes
Jaejin Lee, Jeongdae Im, Ungtae Kim, Frank E. Löffler
Environmental Science & Technology.2016; 50(10): 5181.     CrossRef
Quantifying ecosystem quality by modeling multi‐attribute expert opinion
Steve J. Sinclair, Peter Griffioen, David H. Duncan, Jessica E. Millett-Riley, Matthew D. White
Ecological Applications.2015; 25(6): 1463.     CrossRef
An empirical modeling approach to predict and understand phytoplankton dynamics in a reservoir affected by interbasin water transfers
Roberta Fornarelli, Stefano Galelli, Andrea Castelletti, Jason P. Antenucci, Clelia L. Marti
Water Resources Research.2013; 49(6): 3626.     CrossRef
Decision-Tree-based data mining and rule induction for predicting and mapping soil bacterial diversity
Kangsuk Kim, Keunje Yoo, Dongwon Ki, Il Suh Son, Kyong Joo Oh, Joonhong Park
Environmental Monitoring and Assessment.2011; 178(1-4): 595.     CrossRef