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Intelligent Systems Technologies and Applications

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Cover of 'Intelligent Systems Technologies and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis of Link Prediction in Directed and Weighted Social Network Structure
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    Chapter 2 An Energy-Efficient Fuzzy Based Data Fusion and Tree Based Clustering Algorithm for Wireless Sensor Networks
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    Chapter 3 Biologically-Inspired Foraging Decision Making in Distributed Cognitive Radio Networks
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    Chapter 4 Efficient Algorithms for Hotspot Problem in Wireless Sensor Networks: Gravitational Search Algorithm
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    Chapter 5 Web Service Recommendation Based on Semantic Analysis of Web Service Specification and Enhanced Collaborative Filtering
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    Chapter 6 Performance Comparison of Apache Spark and Hadoop Based Large Scale Content Based Recommender System
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    Chapter 7 Performance Evaluation of AODV Routing Protocol for Free Space Optical Mobile Ad-Hoc Networks
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    Chapter 8 Combination of Fuzzy Logic Digital Image Watermarking and Advanced Encryption Technique for Security and Authentication of Cheque Image
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    Chapter 9 Analysis of AES-GCM Cipher Suites in TLS
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    Chapter 10 Data Classification Using Machine Learning Approach
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    Chapter 11 Topic Modeling for Unsupervised Concept Extraction and Document Ranking
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    Chapter 12 Markov Chain Monte Carlo Methods and Evolutionary Algorithms for Automatic Feature Selection from Legal Documents
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    Chapter 13 An Adaptive Soft Set Based Diagnostic Risk Prediction System
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    Chapter 14 Weighted Bipartite Graph Model for Recommender System Using Entropy Based Similarity Measure
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    Chapter 15 Automated Quiz Generator
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    Chapter 16 Temporal Modelling of Bug Numbers of Open Source Software Applications Using LSTM
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    Chapter 17 Direct Demodulator for Amplitude Modulated Signals Using Artificial Neural Network
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    Chapter 18 Real-Time Detection of Atrial Fibrillation from Short Time Single Lead ECG Traces Using Recurrent Neural Networks
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    Chapter 19 StyloLIT: Stylometry and Location Indicative Terms Based Geographic Location Estimation Using Convolutional Neural Networks
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    Chapter 20 EMG Pattern Classification Using Neural Networks
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    Chapter 21 Crime Against Women: A State Level Analysis Using a Hierarchical and K-Means Clustering Techniques
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    Chapter 22 Zero Pronouns and Their Resolution in Sanskrit Texts
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    Chapter 23 Semantic Analysis Using Pairwise Sentence Comparison with Word Embeddings
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    Chapter 24 Illuminant Color Inconsistency as a Powerful Clue for Detecting Digital Image Forgery: A Survey
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    Chapter 25 A Fast, Block Based, Copy-Move Forgery Detection Approach Using Image Gradient and Modified K-Means
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    Chapter 26 OR Operation Based Deterministic Extended Visual Cryptography Using Complementary Cover Images
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    Chapter 27 Empirical Comparison of Different Key Frame Extraction Approaches with Differential Evolution Based Algorithms
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    Chapter 28 Breast Cancer Diagnosis and Prognosis Using Machine Learning Techniques
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    Chapter 29 Performance Assessment Framework for Computational Models of Visual Attention
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    Chapter 30 Structural Matching of Control Points Using V-D-L-A Approach for MLS Based Registration of Brain MRI/CT Images and Image Graph Construction Using Minimum Radial Distance
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    Chapter 31 An Interactive and Intelligent Tool for Circuit Component Recognition Through Virtual Reality
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    Chapter 32 FPGA-Based Heavy-Ion Beam Trajectory Estimation and Control for Superconducting RF Cavity Resonator Applications
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    Chapter 33 PAM4-Based RADAR Counter-Measures in Hostile Environments
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    Chapter 34 Multi-criteria Decision Making on Lattice Ordered Multisets
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Title
Intelligent Systems Technologies and Applications
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-68385-0
ISBNs
978-3-31-968384-3, 978-3-31-968385-0
Editors

Sabu M. Thampi, Sushmita Mitra, Jayanta Mukhopadhyay, Kuan-Ching Li, Alex Pappachen James, Stefano Berretti

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 %
Unspecified 7 22%
Student > Bachelor 7 22%
Student > Ph. D. Student 6 19%
Student > Master 5 16%
Lecturer 2 6%
Other 5 16%
Readers by discipline Count As %
Computer Science 14 44%
Unspecified 7 22%
Engineering 6 19%
Business, Management and Accounting 1 3%
Social Sciences 1 3%
Other 3 9%