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Computational Intelligence in Communications and Business Analytics

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Table of Contents

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    Book Overview
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    Chapter 1 A Brief Review on Multi-Attribute Decision Making in the Emerging Fields of Computer Science
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    Chapter 2 Statistical and Syllabification Based Model for Nepali Machine Transliteration
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    Chapter 3 Learning Based Image Classification Techniques
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    Chapter 4 eXtreme Gradient Boosting Scheme for Fundus Vessels Separation
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    Chapter 5 Deep-learning Based Autoencoder Model for Label Distribution Learning
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    Chapter 6 A Secure Image Watermarking Technique Using Chinese Remainder Theorem in Integer Wavelet Transformation Domain
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    Chapter 7 A Dual Image Based Data Hiding Scheme Based on Difference of Pixel Values in Integer Wavelet Transform Domain
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    Chapter 8 An IWT Based Reversible Watermarking Scheme Using Lagrange Interpolation Polynomial
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    Chapter 9 A New Image Encryption Based on Two Chaotic Maps and Affine Transform
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    Chapter 10 miRNA and mRNA Expression Analysis of Human Breast Cancer Subtypes to Identify New Markers
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    Chapter 11 A Survey on Computational Intelligence Techniques in Learning and Memory
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    Chapter 12 Enhanced Marker-Controlled Watershed Segmentation Algorithm for Brain Tumor Segmentation
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    Chapter 13 GSA Based FOPID Controller Tuning in NSOF Domain for a Class of Nonlinear Systems
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    Chapter 14 Artificial Neural Network for Fault Diagnosis in Active Distribution Network
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    Chapter 15 A Secure Communication Gateway with Parity Generator Implementation in QCA Platform
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    Chapter 16 VCI Construction and Shifting Strategy Based Steganography for 3D Images
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    Chapter 17 Optimal MAC Scheduling Algorithm for Time-Sensitive Applications in Multi-UE Scenarios in 5G NR MmWave
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    Chapter 18 N-Gram Feature Based Resume Classification Using Machine Learning
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    Chapter 19 Generating Equations from Math Word Problem Using Deep Learning Approach
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    Chapter 20 Clustering-Based Semi-supervised Technique for Credit Card Fraud Detection
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    Chapter 21 Fake News Identification Through Natural Language Processing and Machine Learning Approach
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    Chapter 22 An Empirical Analysis on Abstractive Text Summarization
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    Chapter 23 Facial Emotion Recognition in Static and Live Streaming Image Dataset Using CNN
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    Chapter 24 An UAV Assisted Need Assessment and Prediction System for COVID-19 Vaccination
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    Chapter 25 Video-Based Depression Detection Using Support Vector Machine (SVM)
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    Chapter 26 Ontology-Based Healthcare Hierarchy Towards Chatbot
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    Chapter 27 Real-Time Piracy Detection Based on Thermogram Analysis and Machine Learning Techniques
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    Chapter 28 A Comparative Study of Prediction of Gas Hold up Using ANN
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    Chapter 29 Understanding the Voice of Customers Using Artificial Neural Networks: A Study of Food Aggregators in the Cachar District of Assam
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    Chapter 30 Personalized Healthcare Chatbot: Dataset and Prototype System
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    Chapter 31 Telegram Bot for Emotion Recognition Using Acoustic Cues and Prosody
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    Chapter 32 An Efficient CoD Management Using Semaphore in Online Retail System
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    Chapter 33 Real-Time Price Discovery Solution for Agri-Commodities at e-Marketplaces: A Hybrid Approach
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    Chapter 34 PriHealth: A Fingerprint-Based Mobile Primary Healthcare Management System
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    Chapter 35 Correction to: PriHealth: A Fingerprint-Based Mobile Primary Healthcare Management System
Attention for Chapter 30: Personalized Healthcare Chatbot: Dataset and Prototype System
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Chapter title
Personalized Healthcare Chatbot: Dataset and Prototype System
Chapter number 30
Book title
Computational Intelligence in Communications and Business Analytics
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-10766-5_30
Book ISBNs
978-3-03-110765-8, 978-3-03-110766-5
Authors

Mishra, Prateek, Dadure, Pankaj, Pranav, K. V. N., SriHarsha, Medisetti, Upadhyay, Devi Prasad, Biswas, Nirmita, Pakray, Partha

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 > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%