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5G AI-IoT system for bird species monitoring and song classification
Jaume Segura-Garcia
*
, Sean Sturley
, Miguel Arevalillo-Herraez
, Jose M. Alcaraz-Calero
, Santiago Felici-Castell
, Enrique A. Navarro-Camba
*
Corresponding author for this work
School of Computing, Engineering and Physical Sciences
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Article
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peer-review
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Keyphrases
Bird Species
100%
Birdsong
100%
IoT System
100%
Species Monitoring
100%
Song Recognition
100%
ImageNet
100%
High Performance
50%
Environmental Quality
50%
Deep Learning Methods
50%
Image Features
50%
Number of Parameters
50%
Deep Convolutional Neural Network (deep CNN)
50%
Spectrogram
50%
Different Ecosystems
50%
Audio Recording
50%
Machine Learning Learning
50%
Deep Machine Learning
50%
5G IoT
50%
Microcontroller Unit
50%
EfficientNet
50%
Energy-efficient Inference
50%
Model Size
50%
Raw Audio
50%
Feature Comparison
50%
Bird Identification
50%
Ornithology
50%
Bird Protection
50%
MobileNet
50%
Birdsong Classification
50%
Earth and Planetary Sciences
Artificial Intelligence
100%
Environmental Quality
50%
Machine Learning
50%
Spectrogram
50%
Agricultural and Biological Sciences
Artificial Intelligence
100%
Biological Sciences
50%
Environmental Quality
50%