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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
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Title
Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough
Published by
Springer International Publishing, May 2020
DOI 10.1007/978-3-030-38445-6
ISBNs
978-3-03-038444-9, 978-3-03-038445-6
Editors

Gunjan, Vinit Kumar, Zurada, Jacek M., Raman, Balasubramanian, Gangadharan, G. R.

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