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Advanced Computing and Systems for Security

Overview of attention for book
Cover of 'Advanced Computing and Systems for Security'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Caption Generation of Retinal Diseases with Self-trained RNN Merge Model
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    Chapter 2 Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection
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    Chapter 3 Comment-Mine —A Semantic Search Approach to Program Comprehension from Code Comments
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    Chapter 4 Biomarker Gene Identification Using a Quantum Inspired Clustering Approach
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    Chapter 5 Shot Classification and Replay Detection in Broadcast Soccer Video
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    Chapter 6 A Novel Automated Blood Cell Counting Method Based on Deconvolution and Convolution and Its Application to Neural Networks
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    Chapter 7 A Citizen-Centred Sentiment Analysis Towards India’s Critically Endangered Avian and Mammalian Species
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    Chapter 8 Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles
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    Chapter 9 A Multi-Scale Patch-Based Deep Learning System for Polyp Segmentation
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    Chapter 10 Object Detection in Rainy Condition from Video Using YOLO Based Deep Learning Model
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    Chapter 11 Visualization of the Evacuation Process Including People with Heart Diseases
Attention for Chapter 8: Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles
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Citations

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Chapter title
Methodology for Generating Synthetic Time-Dependant Probabilistic Speed Profiles
Chapter number 8
Book title
Advanced Computing and Systems for Security
Published by
Springer, Singapore, January 2020
DOI 10.1007/978-981-15-2930-6_8
Book ISBNs
978-9-81-152929-0, 978-9-81-152930-6
Authors

Lukáš Rapant, Daniela Szturcová, Martin Golasowski, David Vojtek, Rapant, Lukáš, Szturcová, Daniela, Golasowski, Martin, Vojtek, David

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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