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Smart Infrastructure and Applications

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Cover of 'Smart Infrastructure and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Enterprise Systems for Networked Smart Cities
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    Chapter 2 Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection
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    Chapter 3 Automatic Detection and Validation of Smart City Events Using HPC and Apache Spark Platforms
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    Chapter 4 In-Memory Deep Learning Computations on GPUs for Prediction of Road Traffic Incidents Using Big Data Fusion
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    Chapter 5 Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial
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    Chapter 6 Comparison of Decision Trees and Deep Learning for Object Classification in Autonomous Driving
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    Chapter 7 A Smart Disaster Management System for Future Cities Using Deep Learning, GPUs, and In-Memory Computing
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    Chapter 8 Parallel Shortest Path Big Data Graph Computations of US Road Network Using Apache Spark: Survey, Architecture, and Evaluation
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    Chapter 9 A Survey of Methods and Tools for Large-Scale DNA Mixture Profiling
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    Chapter 10 An Architecture to Improve the Security of Cloud Computing in the Healthcare Sector
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    Chapter 11 The Role of Big Data and Twitter Data Analytics in Healthcare Supply Chain Management
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    Chapter 12 A Mobile Cloud Framework for Context-Aware and Portable Recommender System for Smart Markets
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    Chapter 13 Association Rule Mining in Higher Education: A Case Study of Computer Science Students
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    Chapter 14 SelecWeb: A Software Tool for Automatic Selection of Web Frameworks
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    Chapter 15 On Performance of Commodity Single Board Computer-Based Clusters: A Big Data Perspective
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    Chapter 16 Parallel Iterative Solution of Large Sparse Linear Equation Systems on the Intel MIC Architecture
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    Chapter 17 Performance Characteristics for Sparse Matrix-Vector Multiplication on GPUs
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    Chapter 18 HPC-Smart Infrastructures: A Review and Outlook on Performance Analysis Methods and Tools
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    Chapter 19 Big Data Tools, Technologies, and Applications: A Survey
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    Chapter 20 Big Data for Smart Infrastructure Design: Opportunities and Challenges
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    Chapter 21 Software Quality in the Era of Big Data, IoT and Smart Cities
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    Chapter 22 Open Source and Open Data Licenses in the Smart Infrastructure Era: Review and License Selection Frameworks
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    Chapter 23 Big Data and HPC Convergence for Smart Infrastructures: A Review and Proposed Architecture
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    Chapter 24 Towards a Runtime Testing Framework for Dynamically Adaptable Internet of Things Networks in Smart Cities
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    Chapter 25 HCDSR: A Hierarchical Clustered Fault Tolerant Routing Technique for IoT-Based Smart Societies
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    Chapter 26 Security Testing of Internet of Things for Smart City Applications: A Formal Approach
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Title
Smart Infrastructure and Applications
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-13705-2
ISBNs
978-3-03-013704-5, 978-3-03-013705-2
Editors

Rashid Mehmood, Simon See, Iyad Katib, Imrich Chlamtac

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Lecturer 3 25%
Student > Master 2 17%
Student > Bachelor 1 8%
Professor 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 58%
Social Sciences 3 25%
Engineering 1 8%
Unknown 1 8%