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Machine Learning Algorithms for Industrial Applications

Overview of attention for book
Cover of 'Machine Learning Algorithms for Industrial Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text
  3. Altmetric Badge
    Chapter 2 Automated Document Categorization Model
  4. Altmetric Badge
    Chapter 3 Automated Categorization and Mining Tweets for Disaster Management
  5. Altmetric Badge
    Chapter 4 Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA
  6. Altmetric Badge
    Chapter 5 Image Inpainting for Irregular Holes Using Extreme Learning Machine
  7. Altmetric Badge
    Chapter 6 OCR Using Computer Vision and Machine Learning
  8. Altmetric Badge
    Chapter 7 Few Shot Learning for Medical Imaging
  9. Altmetric Badge
    Chapter 8 Hyperspectral Remote Sensing Image Classification Using Active Learning
  10. Altmetric Badge
    Chapter 9 A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document
  11. Altmetric Badge
    Chapter 10 GRNN Based an Intelligent Technique for Image Inpainting
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    Chapter 11 Content-Based Airline Recommendation Prediction Using Machine Learning Techniques
  13. Altmetric Badge
    Chapter 12 A Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope
  14. Altmetric Badge
    Chapter 13 An Application of Operational Analytics: For Predicting Sales Revenue of Restaurant
  15. Altmetric Badge
    Chapter 14 Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps
  16. Altmetric Badge
    Chapter 15 Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor
  17. Altmetric Badge
    Chapter 16 Long Term Evolution for Secured Smart Railway Communications Using Internet of Things
  18. Altmetric Badge
    Chapter 17 Application of Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis
Attention for Chapter 6: OCR Using Computer Vision and Machine Learning
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
18 Mendeley
Summary Patents Dimensions citations
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Chapter title
OCR Using Computer Vision and Machine Learning
Chapter number 6
Book title
Machine Learning Algorithms for Industrial Applications
Published in
Studies in Computational Intelligence, July 2020
DOI 10.1007/978-3-030-50641-4_6
Book ISBNs
978-3-03-050640-7, 978-3-03-050641-4
Authors

Ashish Ranjan, Varun Nagesh Jolly Behera, Motahar Reza, Ranjan, Ashish, Behera, Varun Nagesh Jolly, Reza, Motahar

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Professor 2 11%
Student > Bachelor 1 6%
Student > Ph. D. Student 1 6%
Researcher 1 6%
Other 2 11%
Unknown 8 44%
Readers by discipline Count As %
Engineering 5 28%
Computer Science 4 22%
Unknown 9 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 May 2024.
All research outputs
#8,785,110
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#181,719
of 432,350 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.0. This one scored the same or higher as 0 of them.
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 432,350 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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