Computational Methods and Data Engineering

Table of Contents

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   Book Overview
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   Chapter 1 A Graph-Based Extractive Assamese Text Summarization
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   Chapter 2 Internet of Things (IoT) for Secure Data and M2M Communications—A Study
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   Chapter 3 Development of Walking Assistants for Visually Challenged Person
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   Chapter 4 A Performance Study of Prediction Models for Diabetes Prediction Using Machine Learning
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   Chapter 5 Orthopantomogram (OPG) Image Analysis Using Bounding Box Algorithm
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   Chapter 6 Design and Analysis of an Improved Artificial Neural Network Controller for the Energy Efficiency Enhancement of Wind Power Plant
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   Chapter 7 Detection of Renal Calculi Using Convolutional Neural Networks
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   Chapter 8 Question Answering and Text Generation Using BERT and GPT-2 Model
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    Chapter 9 Improved LeNet Model for Flower Classification Using GPU Computing
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    Chapter 10 Distributed Computing Meets Movable Wireless Communications in Next Generation Mobile Communication Networks (NGMCN)
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    Chapter 11 The ELF Tribe: Redefining Primary Education in a Post-COVID Era
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    Chapter 12 An Extreme Machine Learning Model for Evaluating Landslide Hazard Zonation in Nilgiris District, Causative Factors and Risk Assessment Using Earth Observation Techniques
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    Chapter 13 Analysis of Cross-Site Scripting Vulnerabilities in Various Day-To-Day Web Applications
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    Chapter 14 Detecting Cyberbullying with Text Classification Using 1DCNN and Glove Embeddings
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    Chapter 15 A Bayesian Network-Based Software Requirement Complexity Prediction Model
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    Chapter 16 Anomaly Detection Using Feature Selection and Ensemble of Machine Learning Models
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    Chapter 17 AutoNav: A Lane and Object Detection Model for Self-Driving Cars
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    Chapter 18 Using Natural Language Processing to Understand Reasons and Motivators Behind Customer Calls in Financial Domain
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    Chapter 19 Prediction of Indian Currency for Visually Impaired People Using Machine Learning
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    Chapter 20 Comparative Analysis of Different Machine Learning Prediction Models for Seasonal Rainfall and Crop Production in Cultivation
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    Chapter 21 Fog-Enabled Energy-Efficient Smart Street Lamps using Machine Learning and IoT
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    Chapter 22 Sensing of Nitrogen and Temperature Using Chlorophyll Maps in Precision Agriculture
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    Chapter 23 A Decision Support System for Understanding the Importance of Two-Dosage Vaccination
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    Chapter 24 Sanskriti—A Distributed E-Commerce Site Implementation Using BlockChain
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    Chapter 25 Classification of Animals Using MobileNet with SVM Classifier
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    Chapter 26 Performance Analysis of Different Matrices-Based SLM Techniques for Reducing PAPR in OFDM Systems
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    Chapter 27 Fake News Detection in Mainstream Media Using BERT
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    Chapter 28 A General Approach of Plant Disease Identification and Detection from the Images Using Convolutional Neural Networks
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    Chapter 29 Extreme Gradient Boosting for Toxic Comment Classification
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    Chapter 30 Machine Learning Models for Predicting Customer Willingness to Buy Electric Vehicles
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    Chapter 31 A Data Science Approach in Quantitative Market Research
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    Chapter 32 Knowing Your Customers Using Customer Segmentation
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    Chapter 33 A Alzheimer’s Disease Detection and Classification Using Customised Convolutional Neural Network
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    Chapter 34 A Deep Dive Comparison of Cache Replacement Strategies: The Quality of Experience Influencer
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    Chapter 35 Unusual Event Detection from Surveillance
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    Chapter 36 Improved Mental Health Monitoring Using HappyOSN in Online Social Networks
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    Chapter 37 Detection of Brain Tumor Using Neuro-Fuzzy Classifier
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    Chapter 38 A Systematic Study About EEG Signal Data and Computer Aided Models for the Diagnosis of Alzheimer's Disease
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    Chapter 40 Computer Vision Human Activity Recognition Using Cumulative Difference Energy Representation-Based Features and Employing Machine Learning Techniques
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    Chapter 41 A Survey on Advancements of Real-Time Analytics Architecture Components
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    Chapter 42 Digital Video Steganography: An Overview