Application of supervised learning classification modeling for predicting benthic sediment toxicity in the southern California bight: A test of concept

Saleh, Omar A.; Otim, Francesca Nyega; Otim, Ochan

doi:10.1016/j.scitotenv.2023.165946

Science of The Total Environment

2023

DOI: 10.1016/j.scitotenv.2023.165946

|View full text |Cite

Application of supervised learning classification modeling for predicting benthic sediment toxicity in the southern California bight: A test of concept

Omar A. Saleh

Francesca Nyega Otim

Ochan Otim

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

An update for various applications of Artificial Intelligence (AI) for detection and identification of marine environmental pollutions: A bibliometric analysis and systematic review

Zare,

Ablakimova,

Kaliyev

et al. 2024

Marine Pollution Bulletin

View full text Add to dashboard Cite

An update for various applications of Artificial Intelligence (AI) for detection and identification of marine environmental pollutions: A bibliometric analysis and systematic review

Zare,

Ablakimova,

Kaliyev

et al. 2024

Marine Pollution Bulletin

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Application of supervised learning classification modeling for predicting benthic sediment toxicity in the southern California bight: A test of concept

Cited by 1 publication

References 31 publications

An update for various applications of Artificial Intelligence (AI) for detection and identification of marine environmental pollutions: A bibliometric analysis and systematic review

An update for various applications of Artificial Intelligence (AI) for detection and identification of marine environmental pollutions: A bibliometric analysis and systematic review

Contact Info

Product

Resources

About