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Technology Trends

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Cover of 'Technology Trends'

Table of Contents

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    Book Overview
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    Chapter 1 Optimization of Recommendation ITU-R P.1812-3 for the Propagation Losses Prediction in Digital Terrestrial Television System
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    Chapter 2 IoT Android Gateway for Monitoring and Control a WSN
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    Chapter 3 Smart Mobile Application for the Prediction of the Loss of Signal in Telecommunication Networks Basing on Meteorological Variables
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    Chapter 4 Open Source IoT Technology to Connect Environment Monitoring System
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    Chapter 5 Development of Prototype Suit for Modeling of Lower Limbs Using NodeMcu and Matlab
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    Chapter 6 Mammogram Classification Schemes by Using Convolutional Neural Networks
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    Chapter 7 Risk Analysis of Implanted Electronic Devices in Human Beings
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    Chapter 8 Design and Construction of Self-driving Vehicle with Renewable and Non-polluting Energy
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    Chapter 9 A Kinect-Based Gesture Recognition Approach for the Design of an Interactive Tourism Guide Application
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    Chapter 10 An Agent-Based Model for Game Development
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    Chapter 11 Analysis of Transport Logistics Costs in Supply Chain Management by Applying Fuzzy Logic
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    Chapter 12 MSpecFace: A Dataset for Facial Recognition in the Visible, Ultra Violet and Infrared Spectra
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    Chapter 13 A Proposal for Migrating SOA Applications to Cloud Using Model-Driven Development
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    Chapter 14 Delimitation and Codification of Hydrographic Units Through the Use of Geographic Information Systems
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    Chapter 15 A Diagnosis of Threat Vulnerability and Risk as It Relates to the Use of Social Media Sites When Utilized by Adolescent Students Enrolled at the Urban Center of Canton Cañar
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    Chapter 16 Moving Towards a Methodology Employing Knowledge Discovery in Databases to Assist in Decision Making Regarding Academic Placement and Student Admissions for Universities
Attention for Chapter 6: Mammogram Classification Schemes by Using Convolutional Neural Networks
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Chapter title
Mammogram Classification Schemes by Using Convolutional Neural Networks
Chapter number 6
Book title
Technology Trends
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-72727-1_6
Book ISBNs
978-3-31-972726-4, 978-3-31-972727-1
Authors

Danny Soriano, Carlos Aguilar, Ivan Ramirez-Morales, Eduardo Tusa, Wilmer Rivas, Maritza Pinta

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Student > Master 5 16%
Researcher 2 6%
Student > Postgraduate 2 6%
Lecturer > Senior Lecturer 1 3%
Other 3 9%
Unknown 11 34%
Readers by discipline Count As %
Computer Science 9 28%
Engineering 4 13%
Agricultural and Biological Sciences 1 3%
Materials Science 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 16 50%