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{ "item_title" : "Multimedia Tools and Applications for Environmental & Biodiversity Informatics", "item_author" : [" Alexis Joly", "Stefanos Vrochidis", "Kostas Karatzas "], "item_description" : "1 Introduction.- 2 Developing mobile applications for environmental and biodiversity citizen science: considerations and recommendations.- 3 A toolbox for understanding and implementing a citizens' observatory on air monitoring.- 4 A Real-Time Streaming and Detection System for Bio-acoustic Ecological Studies after the Fukushima Accident.- 5 Towards improved air quality monitoring using publicly available sky images.- 6 Traits: Structuring species information for discoverability, navigation and identification.- 7 Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model.- 8 Plant Identification: Experts vs. Machines in the Era of Deep Learning.- 9 Automated identification of herbarium specimens at different taxonomic levels.- 10 A deep learning approach to species distribution modelling.- A Existing Data and Metadata Standards and Schemas related to Citizen Science.- B Creative Commons (CC) and Open Data Commons (ODC) Licenses.- C List of Apps, Platforms and their Functionalities in Citizen Science Projects.- D Examples of Symbolic and Non-symbolic Rewards in Citizen Science Projects.- E List of Apps for Sonic Environment and Noise Pollution Monitoring.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/009/492/3030094928_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multimedia Tools and Applications for Environmental & Biodiversity Informatics|Alexis Joly

Multimedia Tools and Applications for Environmental & Biodiversity Informatics

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Overview

1 Introduction.- 2 Developing mobile applications for environmental and biodiversity citizen science: considerations and recommendations.- 3 A toolbox for understanding and implementing a citizens' observatory on air monitoring.- 4 A Real-Time Streaming and Detection System for Bio-acoustic Ecological Studies after the Fukushima Accident.- 5 Towards improved air quality monitoring using publicly available sky images.- 6 Traits: Structuring species information for discoverability, navigation and identification.- 7 Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model.- 8 Plant Identification: Experts vs. Machines in the Era of Deep Learning.- 9 Automated identification of herbarium specimens at different taxonomic levels.- 10 A deep learning approach to species distribution modelling.- A Existing Data and Metadata Standards and Schemas related to Citizen Science.- B Creative Commons (CC) and Open Data Commons (ODC) Licenses.- C List of Apps, Platforms and their Functionalities in Citizen Science Projects.- D Examples of Symbolic and Non-symbolic Rewards in Citizen Science Projects.- E List of Apps for Sonic Environment and Noise Pollution Monitoring.

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Details

  • ISBN-13: 9783030094928
  • ISBN-10: 3030094928
  • Publisher: Springer
  • Publish Date: January 2019
  • Dimensions: 9.21 x 6.14 x 0.51 inches
  • Shipping Weight: 0.75 pounds
  • Page Count: 221

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