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Multi-disciplinary Trends in Artificial Intelligence

Overview of attention for book
Cover of 'Multi-disciplinary Trends in Artificial Intelligence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Partial Ellipse Filter for Maximizing Region Similarity for Noise Removal and Color Regulation
  3. Altmetric Badge
    Chapter 2 Work Flexibility, Telepresence in the Office for Remote Workers: A Case Study from Austria
  4. Altmetric Badge
    Chapter 3 Computing Logic Programming Semantics in Linear Algebra
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    Chapter 4 Progressively Improving Supervised Emotion Classification Through Active Learning
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    Chapter 5 Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning
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    Chapter 6 Automated Pixel-Level Surface Crack Detection Using U-Net
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    Chapter 7 A Novel Method of Automatic Crack Detection Utilizing Non-linear Relaxation Method and Crack Geometric Features for Safety Evaluation of Concrete Structure
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    Chapter 8 Optimal Data Collection of MP-MR-MC Wireless Sensors Network for Structural Monitoring
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    Chapter 9 Emoticon-Based Emotion Analysis for Weibo Articles in Sentence Level
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    Chapter 10 Aerial Image Semantic Segmentation Using Neural Search Network Architecture
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    Chapter 11 Identifying Goals of Agents by Learning from Observations
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    Chapter 12 Selection of Suitable PageRank Calculation for Analysis of Differences Between Expected and Observed Probability of Accesses to Web Pages
  14. Altmetric Badge
    Chapter 13 Aggregating Crowd Opinions Using Shapley Value Regression
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    Chapter 14 A Hierarchical Conditional Attention-Based Neural Networks for Paraphrase Generation
  16. Altmetric Badge
    Chapter 15 Ontology Based Approach for Precision Agriculture
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    Chapter 16 Learning Generalized Video Memory for Automatic Video Captioning
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    Chapter 17 An Efficient Hash-Based Method for Time Series Motif Discovery
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    Chapter 18 One-Dimensional Camera Calibration Based on PSO Algorithm
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    Chapter 19 Evaluating Named-Entity Recognition Approaches in Plant Molecular Biology
  21. Altmetric Badge
    Chapter 20 Reconstruction of a 3D Model from Single 2D Image by GAN
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    Chapter 21 Inverse Ant Algorithm
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    Chapter 22 Enhanced Texture Representation for Moving Targets Classification Using Co-occurrence
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    Chapter 23 An Adequate Dietary Planning Model Using Particle Swarm Optimization
  25. Altmetric Badge
    Chapter 24 An Agent Cooperation Model and Dependency Measurement Based on Merge & Synthesis on Shared Timed Task Environments
  26. Altmetric Badge
    Chapter 25 Design and Development of Real-Time Video Transmission System Using Visual IoT Device
Attention for Chapter 15: Ontology Based Approach for Precision Agriculture
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Chapter title
Ontology Based Approach for Precision Agriculture
Chapter number 15
Book title
Multi-disciplinary Trends in Artificial Intelligence
Published in
arXiv, November 2018
DOI 10.1007/978-3-030-03014-8_15
Book ISBNs
978-3-03-003013-1, 978-3-03-003014-8
Authors

Quoc Hung Ngo, Nhien-An Le-Khac, Tahar Kechadi

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Master 6 9%
Student > Doctoral Student 6 9%
Researcher 6 9%
Lecturer 4 6%
Other 8 12%
Unknown 25 37%
Readers by discipline Count As %
Computer Science 28 42%
Agricultural and Biological Sciences 5 7%
Engineering 3 4%
Business, Management and Accounting 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 2 3%
Unknown 26 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 November 2018.
All research outputs
#20,540,789
of 23,112,054 outputs
Outputs from arXiv
#678,794
of 950,000 outputs
Outputs of similar age
#373,564
of 437,992 outputs
Outputs of similar age from arXiv
#22,510
of 26,166 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950,000 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 437,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26,166 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.