Mangrove forest classification and aboveground biomass estimation using an atom search algorithm and adaptive neuro-fuzzy inference system
Clicks: 323
ID: 260616
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
323 views
56 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #702 of 2,056 articles by views in PloS one
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 2,056 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
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 | |
| 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.