Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system

Clicks: 241
ID: 260616
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
From the experiments, such hybrid integration can be recommended for use as an alternative solution for biomass estimation. In a broader context, the fast growth of metaheuristic search algorithms has created new scientifically sound solutions for better analysis of forest cover.
Reference Key
mh2020plosmangrove Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Pham MH;Do TH;Pham VM;Bui QT;;
Journal PloS one
Year 2020
DOI
DOI not found
URL
https://www.pubmed.gov/?cmd=Search&term=Quang-Thanh%20Bui
Keywords
Vietnam National Center for Biotechnology Information NCBI NLM MEDLINE pubmed abstract nih national institutes of health national library of medicine models research support non-u.s. gov't biological* support vector machine* pmid:32437456 pmc7241709 doi:10.1371/journal.pone.0233110 minh hai pham thi hoai do quang-thanh bui biomass* wetlands*

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.