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Advances in Computational Intelligence, Security and Internet of Things

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Table of Contents

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    Book Overview
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    Chapter 1 An Integrated Image Processing and Deep Learning Approach for Diabetic Retinopathy Classification
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    Chapter 2 Early Prediction of Brain Tumor Classification Using Convolution Neural Networks
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    Chapter 3 Routine Statistical Framework to Speculate Kannada Lip Reading
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    Chapter 4 Incepting on Language Structures with Phonological and Corpus Analysis Using Multilingual Computing
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    Chapter 5 Morphotactics of Manipuri Verbs: A Finite State Approach
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    Chapter 6 Proportional Analysis of Feature Extraction for Tamil Handwritten Characters Using Centroid Based Method
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    Chapter 7 Mobile Supported Interaction Modeling to Find Engagement of Acolyte in Live Classroom
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    Chapter 8 Contribution of Application of Deep Learning Approaches on Biomedical Data in the Diagnosis of Neurological Disorders: A Review on Recent Findings
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    Chapter 9 Integration of BYOD Technology in Traditional Classroom: A Statistical Approach
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    Chapter 10 Statistical Analysis of Road Accident Data of UK Using Operational Intelligence Tool - Splunk
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    Chapter 11 Detection of Routing Infrastructure Attack in TCP Connection
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    Chapter 12 Optimizing e-KYC Process Using Distributed Ledger Technology and Smart Contracts
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    Chapter 13 Detecting Fake Image: A Review for Stopping Image Manipulation
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    Chapter 14 A View on the Blockchain as a Solution to the Healthcare Industry: Challenges and Opportunities
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    Chapter 15 An Approach Towards Encrypting Paired Digits Using Dynamic Programming and Diffie-Hellman Key Exchange
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    Chapter 16 Detecting Malicious Twitter Bots Using Machine Learning
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    Chapter 17 Content Based Routing Algorithm to Improve QoS in IoMT Networks
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    Chapter 18 An Improved Chaos Based Medical Image Encryption Using DNA Encoding Techniques
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    Chapter 19 Real Time Adaptive Street Lighting System
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    Chapter 20 A Review on Coverage and Connectivity Through Random Deployment of Nodes in Wireless Sensor Network
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    Chapter 21 Role of Open Hardware and IoT in Home Automation: A Case Study
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    Chapter 22 Design and Simulation of Load Balancing Algorithms in Wireless Mesh Network
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    Chapter 23 6LoWSD: A Protocol Platform for Interoperability Between SDN and IoT
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    Chapter 24 Machine Learning Based Efficient Multi-copy Routing for OppIoT Networks
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    Chapter 25 An Open-Hardware Approach for IoT Enabled Smart Meter Monitoring and Controlling System Using MQTT Protocol
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    Chapter 26 Performance of NOMA-MUSA System for 5G Using m-ZCZ Sequences
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    Chapter 27 IoT Based Multi-sensor Data Acquisition System for the Application of Smart Agriculture
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    Chapter 28 Context-Oriented User-Centric Search System for the IoT Based on Fuzzy Clustering
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    Chapter 29 Implementation of a Smart Embedded System for Passenger Vessel Safety
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    Chapter 30 Empirical Analysis on the Effect of Image Compression and Denoising Using Different Wavelets on Iris Recognition
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    Chapter 31 Segmentation of Chart Images Using H-Means Algorithm
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    Chapter 32 Hand Vein Biometric Recognition Using Local Binary Pattern
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    Chapter 33 Distance Calculation of an Object in a Stereo Vision System
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    Chapter 34 Comparative Assessment of Consumer Perception on Sports Brands Using Data Mined from Online Communities
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    Chapter 35 Analytical Modelling of Internet of Vehicles (IoV) by IoT Cloud for Dipping Traffic Congestion and Safety Alert: A Review
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    Chapter 36 Object Detection Using Point Feature Matching Based on SURF Algorithm
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    Chapter 37 Diabetes Mellitus Prediction Using Ensemble Machine Learning Techniques
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Title
Advances in Computational Intelligence, Security and Internet of Things
Published by
Springer Singapore, May 2020
DOI 10.1007/978-981-15-3666-3
ISBNs
978-9-81-153665-6, 978-9-81-153666-3
Editors

Saha, Ashim, Kar, Nirmalya, Deb, Suman

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 33%
Student > Bachelor 2 33%
Student > Master 2 33%
Lecturer > Senior Lecturer 1 17%
Student > Doctoral Student 1 17%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 67%
Nursing and Health Professions 1 17%
Physics and Astronomy 1 17%
Engineering 1 17%