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Intelligent Data Engineering and Analytics

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Cover of 'Intelligent Data Engineering and Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Bee Colony for Automated Black-Box Testing of RESTful API
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    Chapter 2 Classifying Human Activities Using Machine Learning and Deep Learning Techniques
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    Chapter 3 Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol
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    Chapter 4 Novel Deep Learning Models for Optimizing Human Activity Recognition Using Wearable Sensors: An Analysis of Photoplethysmography and Accelerometer Signals
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    Chapter 5 Link Prediction in Complex Networks: An Empirical Review
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    Chapter 6 High Utility Itemset Mining and Inventory Management: Theory and Use Cases
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    Chapter 7 Using Clustering Approach to Enhance Prioritization of Regression Test Cases
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    Chapter 8 Nucleus Segmentation Using Adaptive Thresholding for Analysis of Blood and Bone Marrow Smear Images
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    Chapter 9 A Systematic Review on Automatic Speech Recognition for Odia Language
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    Chapter 10 A Study on Influence Maximization in Complex Networks
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    Chapter 11 A Survey on Smart Hydroponics Farming: An Integration of IoT and AI-Based Efficient Alternative to Land Farming
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    Chapter 12 Angiosperm Genus Classification by RBF-SVM
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    Chapter 13 Signage Detection Based on Adaptive SIFT
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    Chapter 14 Surface Electromyography Assisted Hand Gesture Recognition Using Bidirectional LSTM and Unidirectional LSTM for the Hearing Impaired
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    Chapter 15 The Potential of Using Corpora and Concordance Tools for Language Learning: A Case Study of ‘Interested in (Doing)’ and ‘Interested to (Do)’
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    Chapter 16 Analysis of Various Video-Based Human Action Recognition Techniques Using Deep Learning Techniques
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    Chapter 17 Penetration Testing of Web Server Using Metasploit Framework and DVWA
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    Chapter 18 Periodic Rampart Line Inspired Circular Microstrip Patch Antenna
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    Chapter 19 A Deep Learning-Based Prediction Model for Wellness of Male Sea Bass Fish
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    Chapter 20 Depression Detection Using Deep Learning
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    Chapter 21 Fusion of Variational Autoencoder-Generative Adversarial Networks and Siamese Neural Networks for Face Matching
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    Chapter 22 An Invasion Detection System in the Cloud That Use Secure Hashing Techniques
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    Chapter 23 Detection of Suspicious Human Activities from Surveillance Camera Using Neural Networks
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    Chapter 24 High Resolution Remote Sensing Image Classification Using Convolutional Neural Networks
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    Chapter 25 FSVM: Time Series Forecasting Using Fuzzy Support Vector Machine
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    Chapter 26 Deep Learning Framework for the Detection of Invasive Ductal Carcinoma
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    Chapter 27 Iris-Based Human Identity Recognition Using Transfer Learning Approach
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    Chapter 28 Ensemble Model for Lidar Data Analysis and Nocturnal Boundary Layer Height Estimation
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    Chapter 29 Classical and Parameterized Complexity of Line Segment Covering Problems in Arrangement
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    Chapter 30 User Story-Based Automatic Keyword Extraction Using Algorithms and Analysis
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    Chapter 31 Prediction of Sepsis Disease Using Random Search to Optimize Hyperparameter Tuning Based on Lazy Predict Model
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    Chapter 32 Surveillance Video-Based Object Detection by Feature Extraction and Classification Using Deep Learning Architecture
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    Chapter 33 Deep Learning-Based Recommender Systems—A Systematic Review and Future Perspective
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    Chapter 34 Hybrid Security Against Black Hole and Sybil Attacks in Drone-Assisted Vehicular Ad Hoc Networks
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    Chapter 35 Optimization of Metal Removal Rate, Surface Roughness, and Hardness Using the Taguchi Method in CNC Turning Machine
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    Chapter 36 Qualitative Indicator of Growth of Segments of the Network with Various Service Disciplines
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    Chapter 37 Hidden Attractor in a Asymmetrical Novel Hyperchaotic System Involved in a Bounded Function of Exponential Form with Image Encryption Application
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    Chapter 38 AI-Based Secure Software-Defined Controller to Assist Alzheimer’s Patients in Their Daily Routines
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    Chapter 39 An Optimized Deep Learning Algorithm for Cyber-Attack Detection
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    Chapter 40 Estimation of Wind Energy Reliability Using Modeling and Simulation Method
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    Chapter 41 Authentication Protocol for Secure Data Access in Fog Computing-Based Internet of Things
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    Chapter 42 Efficient Data Security Using Hybrid RSA-TWOFISH Encryption Technique on Cloud Computing
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    Chapter 43 Fuzzy-Based Cluster Head Selection for Wireless Sensor Networks
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    Chapter 45 An Optimized Cyber Security Framework for Network Applications
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    Chapter 46 Modified Elephant Herd Optimization-Based Advanced Encryption Standard
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    Chapter 47 Phonocardiographic Signal Analysis for the Detection of Cardiovascular Diseases
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    Chapter 48 Object Localization in Emoji-Based Social Networks Using Deep Learning Techniques
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    Chapter 49 Mathematical Gann Square Model and Elliott Wave Principle with Bi-LSTM for Stock Price Prediction
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    Chapter 50 Crowd Monitoring System Using Facial Recognition
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    Chapter 51 Performance Augmentation of DIMOS Transistor
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    Chapter 52 A Hyperparameter Tuned Ensemble Learning Classification of Transactions over Ethereum Blockchain
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    Chapter 53 Data Integrity Protection Using Multi-level Reconstructive Error Data and Auditing for Cloud Storage
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    Chapter 54 Emotion-Based Song Recommendation System
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    Chapter 55 A Hybrid Model for Forecasting Stock Prices Using Bayesian and LSTM
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Title
Intelligent Data Engineering and Analytics
Published by
Springer Nature Singapore, December 2023
DOI 10.1007/978-981-99-6706-3
ISBNs
978-9-81-996705-6, 978-9-81-996706-3
Editors

Bhateja, Vikrant, Carroll, Fiona, Tavares, João Manuel R. S., Sengar, Sandeep Singh, Peer, Peter

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