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Intelligent Computing Systems

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Cover of 'Intelligent Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition
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    Chapter 2 Breast Cancer Detection and Localization Using MobileNet Based Transfer Learning for Mammograms
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    Chapter 3 U-Net Based Glioblastoma Segmentation with Patient’s Overall Survival Prediction
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    Chapter 4 MicroPython or Arduino C for ESP32 - Efficiency for Neural Network Edge Devices
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    Chapter 5 Analysis of Frameworks for Traffic Agent Simulations
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    Chapter 6 Blockchain-Based Authentication Approach for Securing Transportation System
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    Chapter 7 A Classification Model for Modeling Online Articles
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    Chapter 8 A Novel Feature Extraction Model to Enhance Underwater Image Classification
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    Chapter 9 A Comprehensive Analysis of MRI Based Brain Tumor Segmentation Using Conventional and Deep Learning Methods
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    Chapter 10 Sentiment Analysis on Predicting Presidential Election: Twitter Used Case
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    Chapter 11 Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation
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    Chapter 12 Segmentation of Echocardiographic Images in Murine Model of Chagas Disease
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    Chapter 13 Lung Cancer Patient’s Survival Prediction Using GRNN-CP
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Title
Intelligent Computing Systems
Published by
Springer International Publishing, May 2020
DOI 10.1007/978-3-030-43364-2
ISBNs
978-3-03-043363-5, 978-3-03-043364-2
Editors

Brito-Loeza, Carlos, Espinosa-Romero, Arturo, Martin-Gonzalez, Anabel, Safi, Asad

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