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Advanced Network Technologies and Intelligent Computing

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Cover of 'Advanced Network Technologies and Intelligent Computing'

Table of Contents

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    Book Overview
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    Chapter 1 ADASEML: Hospitalization Period Prediction of COVID-19 Patients Using ADASYN and Stacking Based Ensemble Learning
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    Chapter 2 A Novel Weighted Visibility Graph Approach for Alcoholism Detection Through the Analysis of EEG Signals
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    Chapter 3 A Dehusked Areca Nut Classification Algorithm Based on 10-Fold Cross-Validation of Convolutional Neural Network
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    Chapter 4 Customer Segmentation Based on RFM Analysis and Unsupervised Machine Learning Technique
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    Chapter 5 Manifold D-CNN Architecture for Contrastive Disease Classification Based on Respiratory Sounds
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    Chapter 6 A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction
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    Chapter 7 Prediction of Air Quality Index of Delhi Using Higher Order Regression Modeling
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    Chapter 8 Deep Learning for the Classification of Cassava Leaf Diseases in Unbalanced Field Data Set
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    Chapter 9 Image Classification with Information Extraction by Evaluating the Text Patterns in Bilingual Documents
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    Chapter 10 Probabilistic Forecasting of the Winning IPL Team Using Supervised Machine Learning
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    Chapter 11 Diversified Licence Plate Character Recognition Using Fuzzy Image Enhancement and LPRNet: An Experimental Approach
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    Chapter 12 High Blood Pressure Classification Using Meta-heuristic Based Data-Centric Hybrid Machine Learning Model
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    Chapter 13 Implementing Machine Vision Process to Analyze Echocardiography for Heart Health Monitoring
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    Chapter 14 Social Media Bot Detection Using Machine Learning Approach
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    Chapter 15 Detection of Homophobia & Transphobia in Malayalam and Tamil: Exploring Deep Learning Methods
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    Chapter 16 Coffee Leaf Disease Detection Using Transfer Learning
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    Chapter 17 Airline Price Prediction Using XGBoost Hyper-parameter Tuning
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    Chapter 18 Exploring Deep Learning Methods for Classification of Synthetic Aperture Radar Images: Towards NextGen Convolutions via Transformers
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    Chapter 19 Structure for the Implementation and Control of Robotic Process Automation Projects
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    Chapter 20 Shrinkable Cryptographic Technique Using Involutory Function for Image Encryption
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    Chapter 21 Implementation of Deep Learning Models for Real-Time Face Mask Detection System Using Raspberry Pi
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    Chapter 22 Depression Detection on Twitter Using RNN and LSTM Models
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    Chapter 23 Performance Assessment of Machine Learning Techniques for Corn Yield Prediction
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    Chapter 24 Detection of Bird and Frog Species from Audio Dataset Using Deep Learning
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    Chapter 25 Lifestyle Disease Influencing Attribute Prediction Using Novel Majority Voting Feature Selection
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    Chapter 26 Sample Size Estimation for Effective Modelling of Classification Problems in Machine Learning
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    Chapter 27 A Generative Model Based Chatbot Using Recurrent Neural Networks
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    Chapter 28 Pixel Attention Based Deep Neural Network for Chest CT Image Super Resolution
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    Chapter 29 Evaluation of Various Machine Learning Based Existing Stress Prediction Support Systems (SPSSs) for COVID-19 Pandemic
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    Chapter 30 Machine Learning Approaches for the Detection of Schizophrenia Using Structural MRI
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    Chapter 31 A Hybrid Model for Fake News Detection Using Clickbait: An Incremental Approach
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    Chapter 32 Building a Multi-class Prediction App for Malicious URLs
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    Chapter 33 Comparative Performance of Maximum Likelihood and Minimum Distance Classifiers on Land Use and Land Cover Analysis of Varanasi District (India)
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    Chapter 34 Recent Trends and Open Challenges in Blind Quantum Computation
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    Chapter 35 Driving Style Prediction Using Clustering Algorithms
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    Chapter 36 Analyzing Fine-Tune Pre-trained Models for Detecting Cucumber Plant Growth
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    Chapter 37 Home Occupancy Estimation Using Machine Learning
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    Chapter 38 A Prediction Model with Multi-Pattern Missing Data Imputation for Medical Dataset
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    Chapter 39 Impact Analysis of Hello Flood Attack on RPL
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    Chapter 40 Classification of Quora Insincere Questionnaire Using Soft Computing Paradigm
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    Chapter 41 Conventional Feature Engineering and Deep Learning Approaches to Facial Expression Recognition: A Brief Overview
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    Chapter 42 Forecasting of Rainfall Using Neural Network and Traditional Almanac Models
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    Chapter 43 Retinal Blood Vessel Segmentation Based on Modified CNN and Analyze the Perceptional Quality of Segmented Images
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    Chapter 44 Heuristics for  K -Independent Total Traveling Salesperson Problem
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    Chapter 45 A Comparative Study and Analysis of Time Series Forecasting Techniques for Indian Summer Monsoon Rainfall (ISMR)
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    Chapter 46 YOLOv4 Vs YOLOv5: Object Detection on Surveillance Videos
Attention for Chapter 45: A Comparative Study and Analysis of Time Series Forecasting Techniques for Indian Summer Monsoon Rainfall (ISMR)
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Citations

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