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Multimedia Tools and Applications for Environmental

Overview of attention for book
Cover of 'Multimedia Tools and Applications for Environmental & Biodiversity Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Developing Mobile Applications for Environmental and Biodiversity Citizen Science: Considerations and Recommendations
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    Chapter 3 A Toolbox for Understanding and Implementing a Citizens’ Observatory on Air Monitoring
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    Chapter 4 A Real-Time Streaming and Detection System for Bio-Acoustic Ecological Studies After the Fukushima Accident
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    Chapter 5 Towards Improved Air Quality Monitoring Using Publicly Available Sky Images
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    Chapter 6 Traits: Structuring Species Information for Discoverability, Navigation and Identification
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    Chapter 7 Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model
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    Chapter 8 Plant Identification: Experts vs. Machines in the Era of Deep Learning
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    Chapter 9 Automated Identification of Herbarium Specimens at Different Taxonomic Levels
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    Chapter 10 A Deep Learning Approach to Species Distribution Modelling
Attention for Chapter 8: Plant Identification: Experts vs. Machines in the Era of Deep Learning
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Chapter title
Plant Identification: Experts vs. Machines in the Era of Deep Learning
Chapter number 8
Book title
Multimedia Tools and Applications for Environmental & Biodiversity Informatics
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-76445-0_8
Book ISBNs
978-3-31-976444-3, 978-3-31-976445-0
Authors

Pierre Bonnet, Hervé Goëau, Siang Thye Hang, Mario Lasseck, Milan Šulc, Valéry Malécot, Philippe Jauzein, Jean-Claude Melet, Christian You, Alexis Joly, Siang Hang, Milaň Sulc, Bonnet, Pierre, Goëau, Hervé, Hang, Siang Thye, Lasseck, Mario, Šulc, Milan, Malécot, Valéry, Jauzein, Philippe, Melet, Jean-Claude, You, Christian, Joly, Alexis

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Student > Ph. D. Student 4 10%
Student > Bachelor 4 10%
Unspecified 3 8%
Other 3 8%
Other 10 26%
Unknown 10 26%
Readers by discipline Count As %
Computer Science 7 18%
Agricultural and Biological Sciences 6 15%
Environmental Science 4 10%
Earth and Planetary Sciences 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 13%
Unknown 14 36%

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