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Computational Intelligence: Theories, Applications and Future Directions - Volume II

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Cover of 'Computational Intelligence: Theories, Applications and Future Directions - Volume II'

Table of Contents

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    Book Overview
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    Chapter 1 Fog Computing-Based Autonomic Security Approach to Internet of Things Applications
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    Chapter 2 Self-adaptive Frequent Pattern Growth-Based Dynamic Fuzzy Particle Swarm Optimization for Web Document Clustering
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    Chapter 3 A Feature-Reduced Discretized Random Forest Model for Oral Bioavailability Data Classification
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    Chapter 4 TelNEClus: Telugu Named Entity Clustering Using Semantic Similarity
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    Chapter 5 Convolutional Neural Network with Stacked Autoencoder for Kernel Initialization
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    Chapter 6 Behavioural Analysis of Recent Ransomwares and Prediction of Future Attacks by Polymorphic and Metamorphic Ransomware
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    Chapter 7 Improved EMD Local Energy with SVM for Fault Diagnosis in Air Compressor
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    Chapter 8 Simultaneous Structure and Parameter Learning of Convolutional Neural Network
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    Chapter 9 Hybrid Approach for Predicting and Recommending Links in Social Networks
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    Chapter 10 Online Partitioning of Large Graphs for Improving Scalability in Recommender Systems
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    Chapter 11 Fuzzy Rough Set-Based Feature Selection with Improved Seed Population in PSO and IDS
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    Chapter 12 Domain-Independent Sentiment Analysis in Malayalam
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    Chapter 13 Path Planning for Multiple Mobile Robots by Priority Assignment
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    Chapter 14 Modified Back Propagation Neural Network for Facial Expression Classification Using Principal Component Analysis and Ridgelet Transform
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    Chapter 15 Classification of Hand Movement Stages for Brain–Computer Interface Using Convolutional Neural Network
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    Chapter 16 Neural Net Optimization by Weight-Entropy Monitoring
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    Chapter 17 Multimodal Data Fusion and Prediction of Emotional Dimensions Using Deep Neural Network
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    Chapter 18 Autoencoding Convolutional Representations for Real-Time Eye-Gaze Detection
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    Chapter 19 Hausdorff Distance-Based Binary Search Tree Multiclass Decomposition Algorithm
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    Chapter 20 Investigation of RBF Kernelized ANFIS for Fault Diagnosis in Wireless Sensor Networks
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    Chapter 21 On Adaptive Control for AGV with Vision Sensor as an Unknown Nonlinear System
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    Chapter 22 A Modified Extreme Learning ANFIS for Higher Dimensional Regression Problems
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    Chapter 23 Analysis of Transfer and Residual Learning for Detecting Plant Diseases Using Images of Leaves
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    Chapter 24 Batch-Mode Active Learning-Based Superpixel Library Generation for Very High-Resolution Aerial Image Classification
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    Chapter 25 An Efficient Algorithm for Image Haze Removal in Outdoor Environment
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    Chapter 26 Multi-faced Object Recognition in an Image for Inventory Counting
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    Chapter 27 Detection of Dust Deposition Using Convolutional Neural Network for Heritage Images
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    Chapter 28 Railway Corridor Monitoring Using Deep Drone Vision
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    Chapter 29 SURF–MSER Based 3D Mapping Using RGB-D Camera on Automated Vehicle
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    Chapter 30 Rotation-Invariant Descriptor for Disparate Images Using Line Segments
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    Chapter 31 Object Detection and Recognition Using Small Labeled Datasets
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    Chapter 32 Multi-objective OPF Problem Analysis with Practical Constraints in the Presence of FACTS Devices Using NSHCSA
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    Chapter 33 A Unified TOPSIS Approach to MADM Problems in Interval-Valued Intuitionistic Fuzzy Environment
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    Chapter 34 Computational Intelligence for Localization of Mobile Wireless Sensor Networks
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    Chapter 35 Reasoning for Uncertainty and Rough Set-Based Approach for an Efficient Biometric Identification: An Application Scenario
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    Chapter 36 Butterfly Constrained Optimizer for Constrained Optimization Problems
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    Chapter 37 Multimodal Medical Image Fusion Based on Fuzzy Sets with Orthogonal Teaching–Learning-Based Optimization
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    Chapter 38 Inspection–Repair-Based Availability Optimization of Distribution System Using Bare Bones Particle Swarm Optimization
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    Chapter 39 Butterfly Optimizer for Placement and Sizing of Distributed Generation for Feeder Phase Balancing
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    Chapter 40 Differential Evolution-Based Matched Wavelet for Differential Protection of Transformer
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    Chapter 41 Dynamic Texture Recognition from Multi-offset Temporal Intensity Co-occurrence Matrices with Local Pattern Matching
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    Chapter 42 Multimodal Biometric Authentication System Using Hand Shape, Palm Print, and Hand Geometry
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    Chapter 43 Digital Image Restoration of Historical Devanagari Manuscripts
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    Chapter 44 Emotion Classification from Facial Expressions Using Cascaded Regression Trees and SVM
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    Chapter 45 Multi-layer Classification Approach for Online Handwritten Gujarati Character Recognition
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    Chapter 46 A Local Information-Based Fuzzy C-Means for Brain MRI Segmentation
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    Chapter 47 Analysis and Classification of Discriminative Region in Cognitive Functional MRI Data
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    Chapter 48 Face Image Super-Resolution Using Differential Evolutionary Algorithm
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    Chapter 49 Noise-Robust Low-Resolution Face Recognition Using SIFT Features
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    Chapter 50 Low-Dose CT Image Reconstruction Using Complex Diffusion Regularization
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    Chapter 51 MatConvNet-Based Fast Method for Cervical MR Images Classification
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Title
Computational Intelligence: Theories, Applications and Future Directions - Volume II
Published by
Springer Singapore, September 2018
DOI 10.1007/978-981-13-1135-2
ISBNs
978-9-81-131134-5, 978-9-81-131135-2
Editors

Verma, Nishchal K., Ghosh, A. K.

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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 32%
Student > Ph. D. Student 9 16%
Student > Bachelor 9 16%
Lecturer 4 7%
Professor 3 5%
Other 5 9%
Unknown 9 16%
Readers by discipline Count As %
Computer Science 21 37%
Engineering 17 30%
Economics, Econometrics and Finance 2 4%
Unspecified 2 4%
Medicine and Dentistry 1 2%
Other 2 4%
Unknown 12 21%