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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

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Cover of 'Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough'

Table of Contents

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    Book Overview
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    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 9: Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring
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Citations

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Readers on

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25 Mendeley
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Chapter title
Comprehensive Survey on Deep Learning Approaches in Predictive Business Process Monitoring
Chapter number 9
Book title
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-38445-6_9
Book ISBNs
978-3-03-038444-9, 978-3-03-038445-6
Authors

Nitin Harane, Sheetal Rathi, Harane, Nitin, Rathi, Sheetal

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Student > Doctoral Student 4 16%
Student > Master 3 12%
Researcher 2 8%
Student > Bachelor 2 8%
Other 1 4%
Unknown 8 32%
Readers by discipline Count As %
Computer Science 9 36%
Business, Management and Accounting 2 8%
Psychology 1 4%
Engineering 1 4%
Design 1 4%
Other 0 0%
Unknown 11 44%