Hybrid NCA-MRMR and Mamdani Type 1 Fuzzy Logic-Based Classification of Chemical Contamination State in Marine Transitional Systems-Reference-Cited by-同舟云学术

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Hybrid NCA-MRMR and Mamdani Type 1 Fuzzy Logic-Based Classification of Chemical Contamination State in Marine Transitional Systems

Published:2023-05-18 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Business and Industrial Research (ICBIR)
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Author:

Arroyo Carey Louise¹,Concepcion Ronnie¹,Vicerra Ryan Rhay¹,Duarte Bernardo²,Fonseca Vanessa³

Affiliation:

1. Engineering and Management De La Salle University,Department of Manufacturing,Manila,Philippines

2. Universidade de Lisboa,MARE-Marine and Environmental, Sciences Centre & ARNET - Aquatic Research Network Associated Laboratory, Faculdade de Ciências,Departamento de Biologia Vegetal,Lisbon,Portugal

3. Universidade de Lisboa,MARE-Marine and Environmental, Sciences Centre & ARNET - Aquatic Research Network Associated Laboratory, Faculdade de Ciências,Departamento de Biologia Animal,Lisbon,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10147162/10147394/10147670.pdf?arnumber=10147670

Reference14 articles.

1. PCBs, PAHs and metal contamination and quality index in marine sediments of the Taranto Gulf

2. Applying Limnological Feature-Based Machine Learning Techniques to Chemical State Classification in Marine Transitional Systems

3. Mamdani Fuzzy-Based Assessment of Telework Capability of Philippine Government Employees

4. Adaptive Neuro-Fuzzy Inference System on Aquaphotomics Development for Aquaponic Water Nutrient Assessments and Analyses

5. Varietal Classification of Lactuca Sativa Seeds Using an Adaptive Neuro-Fuzzy Inference System Based on Morphological Phenes

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