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Neural network recognition of marine benthos and corals
Alina Raphael
,
Zvy Dubinsky
,
David Iluz
, Nathan S. Netanyahu
The Mina and Everard Goodman Faculty of Life Sciences - at Bar-Ilan University
Department of Computer Science and Artificial Intelligence
Research output
:
Contribution to journal
›
Review article
›
peer-review
44
Scopus citations
Overview
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Dive into the research topics of 'Neural network recognition of marine benthos and corals'. Together they form a unique fingerprint.
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Keyphrases
Deep Learning
100%
Neural Network Classifier
100%
Marine Benthos
100%
Marine Corals
100%
Coral
85%
Coral Reefs
42%
Machine Learning
28%
Automated Recognition
28%
Deep Learning Applications
28%
Field Points
28%
Global Climate Change
14%
Environmental Conditions
14%
Slow Change
14%
Fully Automated
14%
Benthos
14%
Ocean Acidification
14%
Environmental Change
14%
Data Pattern
14%
Coral Species
14%
Anthropogenic Stressors
14%
Species Diversity
14%
Error-prone
14%
Computer Vision
14%
Human Performance
14%
Intraspecific
14%
Marine Ecosystems
14%
Image Classification
14%
Image Recognition
14%
High Reliability
14%
Feature-based
14%
Automatic Identification
14%
Fine Resolution
14%
Unique Capabilities
14%
Digital Image
14%
Anthropogenic Eutrophication
14%
Species Separation
14%
Seawater Warming
14%
Population Decline
14%
Multi-layered Neural Networks
14%
Saving Time
14%
Diversity Measure
14%
Color Parameters
14%
Coral Colour
14%
Automated Image Recognition
14%
Synergistic Influence
14%
Coral Diversity
14%
Population Recruitment
14%
Digital Video
14%
Anthropogenic Pollution
14%
Age Detection
14%
Automated Methodology
14%
Image Analysis Technology
14%
Marine Society
14%
Single Species
14%
Live Coral Cover
14%
Recruitment Decline
14%
Bioremediation
14%
Natural Stress
14%
Digital Image Analysis
14%
Polyps
14%
Neural Network Method
14%
Transient Changes
14%
Automatically Detect
14%
Photographic Image
14%
Description Analysis
14%
Detecting Objects
14%
Macroscopic Feature
14%
Population Recovery
14%
Earth and Planetary Sciences
Benthos
100%
Coral Reef
100%
Machine Learning
66%
Global Climate Change
33%
Ocean Acidification
33%
Computer Vision
33%
Human Performance
33%
Streamlining
33%
Eutrophication
33%
Image Classification
33%
Image Analysis
33%
Species Diversity
33%
Aquatic Environment
33%
Bioremediation
33%
Agricultural and Biological Sciences
Neural Network
100%
Deep Learning Method
100%
Reef
33%
Coral Reef
33%
Learning System
22%
Machine Learning
22%
Anthropogenic Stressors
11%
Climate Change
11%
Ocean Acidification
11%
Species Diversity
11%
Eutrophication
11%
Image Analysis
11%
Aquatic Environment
11%
Bioremediation
11%
Computer Vision
11%
Social Sciences
Neural Network
100%
Deep Learning Method
100%
Coral Reef
33%
Learning System
22%
Machine Learning
22%
Ocean Acidification
11%
Environmental Degradation
11%
Climate Change
11%
Joint Venture
11%
Computer Vision
11%
Image Classification
11%
Aquatic Environment
11%
Eutrophication
11%
Image Analysis
11%
Computer Science
Neural Network
100%
Deep Learning Method
100%
Machine Learning
22%
Learning System
22%
Research Direction
11%
Image Classification
11%
High Reliability
11%
Image Analysis
11%
Learning Approach
11%
Computer Vision
11%
Climatic Change
11%
Large Data Set
11%
Immunology and Microbiology
Benthos
100%
Species Diversity
50%
Bioremediation
50%
Eutrophication
50%