Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
Abstract
An understanding of marine ecosystems and their biodiversity is relevant to sustainable use of the goods and services they offer. Since marine areas host complex ecosystems, it is important to develop spatially widespread monitoring networks capable of providing large amounts of multiparametric info …
Keywords
deep learning
neural networks
Computer
National Center for Biotechnology Information
NCBI
NLM
MEDLINE
animals
humans
pubmed abstract
nih
national institutes of health
national library of medicine
image enhancement / methods
ecosystem*
oceans and seas
biodiversity*
pmid:32012976
pmc7038495
doi:10.3390/s20030726
vanesa lopez-vazquez
jose manuel lopez-guede
jacopo aguzzi
aquatic organisms / classification
aquatic organisms / physiology*
machine learning
video recording / methods*
Access
Citation
ID:
267453
References
Blockchain Verification
Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
267453
Unique Identifier:
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
Creates 1,000,000 NFT tokens for this article
Token Features:
- ERC-1155 Standard NFT
- 1 Million Supply per Article
- Transferable via MetaMask
- Permanent Blockchain Record
Scan with Saymatik Web3.0 Wallet