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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Overview of attention for book
Cover of 'Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Face Recognition Using Raspberry PI
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    Chapter 2 Features Extraction for Network Intrusion Detection Using Genetic Algorithm (GA)
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    Chapter 3 Chemical Sensing Through Cogno-Monitoring System for Air Quality Evaluation
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    Chapter 4 3 DOF Autonomous Control Analysis of an Quadcopter Using Artificial Neural Network
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    Chapter 5 Cognitive Demand Forecasting with Novel Features Using Word2Vec and Session of the Day
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    Chapter 6 A Curvelet Transformer Based Computationally Efficient Speech Enhancement for Kalman Filter
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    Chapter 7 Dexterous Trashbot
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    Chapter 8 Automated Question Generation and Answer Verification Using Visual Data
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    Chapter 9 Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring
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    Chapter 10 Machine Learning Based Risk-Adaptive Access Control System to Identify Genuineness of the Requester
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    Chapter 11 An Approach to End to End Anonymity
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    Chapter 12 PHT and KELM Based Face Recognition
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    Chapter 13 Link Failure Detection in MANET: A Survey
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    Chapter 14 Review of Low Power Techniques for Neural Recording Applications
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    Chapter 15 Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review
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    Chapter 16 Heuristic Approach to Evaluate the Performance of Optimization Algorithms in VLSI Floor Planning for ASIC Design
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    Chapter 17 Enhancement in Teaching Quality Methodology by Predicting Attendance Using Machine Learning Technique
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    Chapter 18 Improvement in Extended Object Tracking with the Vision-Based Algorithm
Attention for Chapter 18: Improvement in Extended Object Tracking with the Vision-Based Algorithm
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1 X user

Citations

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9 Dimensions

Readers on

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3 Mendeley
Summary X Dimensions citations
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Chapter title
Improvement in Extended Object Tracking with the Vision-Based Algorithm
Chapter number 18
Book title
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
Published in
Studies in Computational Intelligence, February 2020
DOI 10.1007/978-3-030-38445-6_18
Book ISBNs
978-3-03-038444-9, 978-3-03-038445-6
Authors

Ekbal Rashid, Mohd Dilshad Ansari, Vinit Kumar Gunjan, Muqeem Ahmed, Rashid, Ekbal, Ansari, Mohd Dilshad, Gunjan, Vinit Kumar, Ahmed, Muqeem

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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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 1 33%
Unknown 2 67%
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 06 February 2020.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#300,263
of 476,826 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 21st percentile – i.e., 21% 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 1.0. 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 476,826 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
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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