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Smart Technologies, Systems and Applications

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Table of Contents

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    Book Overview
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    Chapter 3 Soil and Environmental Monitoring on a Vineyard in the Guadalupe Valley as a Tool for Processes of Precision Viticulture Based on ZigBee Technology to Improve the E-Agriculture
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    Chapter 6 Signal Detection Methods in Cognitive Radio Networks: A Performance Comparison
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    Chapter 9 Enabling the Latent Semantic Analysis of Large-Scale Information Retrieval Datasets by Means of Out-of-Core Heterogeneous Systems
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    Chapter 12 Latent Semantic Index: A Microservices Architecture
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    Chapter 13 Factors that Affect i-Vectors Based Language Identification Systems
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    Chapter 14 Incorporation of Language Discriminative Information into Recurrent Neural Networks Models to LID Tasks
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    Chapter 16 Benchmarking of Classification Algorithms for Psychological Diagnosis
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    Chapter 18 Security Mechanisms in NoSQL DBMS’s: A Technical Review
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    Chapter 19 Corrective Feedback Through Mobile Apps for English Learning: A Review
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    Chapter 21 Fusion of 3D Radiomic Features from Multiparametric Magnetic Resonance Images for Breast Cancer Risk Classification
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    Chapter 22 Evaluation of Learning Approaches Based on Convolutional Neural Networks for Mammogram Classification
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    Chapter 24 Emotion Recognition from Time-Frequency Analysis in EEG Signals Using a Deep Learning Strategy
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    Chapter 25 Automatic Exercise Recognition Based on Kinect Sensor for Telerehabilitation
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    Chapter 28 A Genetic Algorithm for BAP + QCAP with Imprecision in the Arrival of Vessels
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    Chapter 29 Data Analysis of Particle Physics Experiments Based on Machine Learning and the Mitchell’s Criteria
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    Chapter 30 Quantum Mechanics Formalism for Modeling the Flux of BitCoins
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Title
Smart Technologies, Systems and Applications
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-46785-2
ISBNs
978-3-03-046784-5, 978-3-03-046785-2
Editors

Fabián R. Narváez, Diego F. Vallejo, Paulina A. Morillo, Julio R. Proaño

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