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Machine Learning, Image Processing, Network Security and Data Sciences

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Cover of 'Machine Learning, Image Processing, Network Security and Data Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Placing Query Term Proximity in Search Context
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    Chapter 2 Identifying Fake Profile in Online Social Network: An Overview and Survey
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    Chapter 3 An Efficient Graph Based Trust-Aware Recommendation System
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    Chapter 4 Permission Based Access Control for Healthcare Systems
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    Chapter 5 5W1H-Based Semantic Segmentation of Tweets for Event Detection Using BERT
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    Chapter 6 Sarcasm Detection in Tweets as Contrast Sentiment in Words Using Machine Learning and Deep Learning Approaches
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    Chapter 7 Personal Health Train on FHIR: A Privacy Preserving Federated Approach for Analyzing FAIR Data in Healthcare
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    Chapter 8 Analyzing the Linguistic Structure of Questions to Make Unanswered Questions Answered
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    Chapter 9 Applicability of Structured and Unstructured Communication Techniques in Emergency Environment
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    Chapter 10 Effect of Filtering in Big Data Analytics for Load Forecasting in Smart Grid
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    Chapter 11 Distance Invariant RGB-D Object Recognition Using DSMS System
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    Chapter 12 Single Look SAR Image Segmentation Using Local Entropy, Median Low-Pass Filter and Fuzzy Inference System
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    Chapter 13 An Edge Detection and Sliding Window Based Approach to Improve Object Localization in YOLOv3
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    Chapter 14 Automatic Detection of Pneumonia from Chest X-Rays Using Deep Learning
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    Chapter 15 An Improved Accuracy Rate in Microaneurysms Detection in Retinal Fundus Images Using Non-local Mean Filter
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    Chapter 16 Emotion Recognition from Periocular Features
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    Chapter 17 A Comparative Study of Computational Intelligence for Identification of Breast Cancer
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    Chapter 18 Segmentation of Blood Vessels from Fundus Image Using Scaled Grid
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    Chapter 19 Head Pose Estimation of Face: Angle of Roll, Yaw, and Pitch of the Face Image
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    Chapter 20 Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network
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    Chapter 21 Diabetic Retinopathy Detection on Retinal Fundus Images Using Convolutional Neural Network
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    Chapter 22 Medical Image Fusion Based on Deep Decomposition and Sparse Representation
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    Chapter 23 Rice Plant Disease Detection and Classification Using Deep Residual Learning
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    Chapter 24 Flood Detection Using Multispectral Images and SAR Data
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    Chapter 25 Handwritten Character Recognition Using KNN and SVM Based Classifier over Feature Vector from Autoencoder
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    Chapter 26 A ConvNet Based Procedure for Image Copy-Move Forgery Detection
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    Chapter 27 A Novel Invisible Watermarking Approach for Double Authentication of Image Content
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    Chapter 28 Remote Sensing Signature Classification of Agriculture Detection Using Deep Convolution Network Models
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    Chapter 29 Buddhist Hasta Mudra Recognition Using Morphological Features
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    Chapter 30 Image Compression Using Deep Learning Based Multi-structure Feature Map and K-Means Clustering
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    Chapter 31 Building Detection from Satellite Aerial Images Using Morphological Operations
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    Chapter 32 Performance Analysis of Feature Detection and Description (FDD) Methods on Accident Images
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    Chapter 33 Image Authentication Using Tensor Decomposition and Local Features with Geometric Correction
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Title
Machine Learning, Image Processing, Network Security and Data Sciences
Published by
Springer Singapore, August 2020
DOI 10.1007/978-981-15-6315-7
ISBNs
978-9-81-156314-0, 978-9-81-156315-7
Editors

Bhattacharjee, Arup, Borgohain, Samir Kr., Soni, Badal, Verma, Gyanendra, Gao, Xiao-Zhi