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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Overview of attention for book
Cover of 'Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Dealing with Missing Values in Software Project Datasets: A Systematic Mapping Study
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    Chapter 2 Testing and Code Review Based Effort-Aware Bug Prediction Model
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    Chapter 3 Improving the Efficiency of Schedulability Tests for Fixed Priority Preemptive Systems
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    Chapter 4 A GPU Accelerated Finite Differences Method of the Bioheat Transfer Equation for Ultrasound Thermal Ablation
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    Chapter 5 Justifying the Transition from Trustworthiness to Resiliency via Generation of Safety Cases
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    Chapter 6 Select and Test (ST) Algorithm for Medical Diagnostic Reasoning
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    Chapter 7 Opportunities Ahead the Future Mobile Learning
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    Chapter 8 A Design of Context-Aware Framework for Conditional Preferences of Group of Users
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    Chapter 9 Design of Decentralized Inter-Cell Interference Coordination Scheme in LTE Downlink System
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    Chapter 10 Toward Flow-Based Ontology
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    Chapter 11 Mobile Component Integration Agent (MCIA) for Social Business Application
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    Chapter 12 Covariance Estimation for Vertically Partitioned Data in a Distributed Environment
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    Chapter 13 Detection of Dengue Epidemic in Dhaka, Bangladesh by a Neuro Fuzzy Approach
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    Chapter 14 MIMO Antenna Design for Future 5G Wireless Communication Systems
Attention for Chapter 11: Mobile Component Integration Agent (MCIA) for Social Business Application
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Citations

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Chapter title
Mobile Component Integration Agent (MCIA) for Social Business Application
Chapter number 11
Book title
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Published by
Springer International Publishing, April 2016
DOI 10.1007/978-3-319-33810-1_11
Book ISBNs
978-3-31-933809-5, 978-3-31-933810-1
Authors

Yvette E. Gelogo, Haeng-Kon Kim, Roger Y. Lee

Editors

Roger Lee

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Social Sciences 1 50%

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