Advanced Computing

Table of Contents

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   Book Overview
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   Chapter 1 GCOMSP: Design of a GWO Based Model for Continuous Optimization of Multidomain Stock Prediction Performance
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   Chapter 2 Self Supervised Learning for Classifying the Rotated Images
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   Chapter 3 Unsupervised Learning Method for Better Imputation of Missing Values
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   Chapter 4 DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction
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   Chapter 5 Exploring the Incremental Improvements of YOLOv7 over YOLOv5 for Character Recognition
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   Chapter 6 Verifiable Machine Learning Models in Industrial IoT via Blockchain
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   Chapter 7 Sentence Classification Using Quantum Natural Language Processing and Comparison of Optimization Methods
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   Chapter 8 Dimension Reduction in the Sagittal Plane for Diagnosis of Mild Cognitive Impairment
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    Chapter 9 Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi
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    Chapter 10 An Effective Approach for Identification of Multivariate Global Outlier Using Min, Average and Max Linkage Methods of Agglomerative
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    Chapter 11 Prediction of Heat Energy Consumption by LSTM Sequence-to-Sequence Models
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    Chapter 12 A Chi-Square Dissimilarity Measure for Clustering Categorical Datasets
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    Chapter 13 DDoS Attacks Detection Using a Deep Neural Network Model
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    Chapter 14 A Large Scale IoT Botnet Attack Detection Using Ensemble Learning
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    Chapter 15 Neural-Network-Based OFDM-SNM Detection: Emerging Technique of Future Data Communication
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    Chapter 16 Anomaly Detection in Time Series Data by Forecasting Using Facebook Prophet
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    Chapter 17 A Survey of Statistical, Machine Learning, and Deep Learning-Based Anomaly Detection Techniques for Time Series
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    Chapter 18 An Analysis Employing Various Machine Learning Algorithms for Detection of Malicious URLs
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    Chapter 19 Channel Estimation of mmWave Massive MIMO Systems Using Large Intelligent Surfaces
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    Chapter 20 Malware Detection in URL Using Machine Learning Approach
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    Chapter 21 Importance of Feature Extraction in Sentiment Analysis Implementation
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    Chapter 22 ACDNet: Abusive Content Detection on Social Media with an Effective Deep Neural Network Using Code-Mixed Hinglish Data
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    Chapter 23 Prediction of Face Emotion with Labelled Selective Transfer Machine as a Generalized Emotion Classifier
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    Chapter 24 Study of Bitcoin Price Prediction Based on Sentiment Scores of Influencer Tweets with Experimental Validation
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    Chapter 25 Modeling Human Performance in Complex Search and Retrieve Environment Using Supervised and Unsupervised Machine Learning Techniques
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    Chapter 26 Virtual Reality and Artificial Intelligence in e-Commerce
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    Chapter 27 Critical Review on Machine Reading Comprehension (MRC) Developments: From High Resource to Low Resource Languages
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    Chapter 28 Generative Adversarial Network for Hand-Writing Detection
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    Chapter 29 Study and Analysis of Deep Learning Models for the Recognition of Sign Language
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    Chapter 30 Novel Taxonomy for E-learning Recommender System Using Opinion Mining
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    Chapter 31 Predicting Student Performance in Blended Learning Teaching Methodology Using Machine Learning
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    Chapter 32 Using OMR for Grading MCQ-Type Answer Sheets Based on Bubble Marks
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    Chapter 33 Human-Centric C ross-Domain T ransfer N etwork for M usic Recommendation
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    Chapter 34 Improving Signer-Independence Using Pose Estimation and Transfer Learning for Sign Language Recognition
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    Chapter 35 Attacks and Defenses of Smart Speakers: Voice Command Fingerprinting on Alexa
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    Chapter 36 Video Tampering Detection Using Machine Learning and Deep Learning
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    Chapter 37 Artificial Intelligence Enabled IOT System for Football Identification in a Football Match