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Machine Intelligence Techniques for Data Analysis and Signal Processing

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Cover of 'Machine Intelligence Techniques for Data Analysis and Signal Processing'

Table of Contents

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    Book Overview
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    Chapter 1 On Diverse and Serendipitous Item Recommendation: A Reinforced Similarity and Multi-objective Optimization-Based Composite Recommendation Framework
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    Chapter 2 Comparative Analysis of Node-Dependent and Node-Independent Graph Matrices for Brain Connectivity Network
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    Chapter 3 Facial Expression Recognition from Low Resolution Facial Segments Using Pre-trained Networks
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    Chapter 4 Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques
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    Chapter 5 Enhancing Agricultural Outcome with Multiple Crop Recommendations Using Sequential Forward Feature Selection
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    Chapter 6 Kernel-Level Pruning for CNN
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    Chapter 7 Linear Regression Model for Predicting Virtual Machine Consolidation Within the Cloud Data Centers (LrmP_VMC)
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    Chapter 8 Detection of Fraudulent Credit Card Transactions Using Advanced LightGBM Approach
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    Chapter 9 Approach of Different Classification Algorithms to Compare in N-gram Feature Between Bangla Good and Bad Text Discourses
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    Chapter 10 Effective Heart Disease Prediction Using Hybrid Ensemble Learning Model
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    Chapter 11 A SAR ATR Using a New Convolutional Neural Network Framework
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    Chapter 12 A Distributed Data Fusion Approach to Mitigate Node Redundancies in an IoT Network
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    Chapter 13 ColCompNeT: Deep Learning-Based Colorization-Based Coding Network
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    Chapter 14 Printed Elliptical Cut Vivaldi 1 × 5 Linear Array Antenna for X and KU Band Applications
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    Chapter 15 Texture Classification Using ResNet and EfficientNet
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    Chapter 16 Performance Analysis of Parametric and Non-parametric Classifier Models for Predicting the Liver Disease
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    Chapter 17 angularParameter: A Novel Optimization Technique for Deep Learning Models
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    Chapter 18 Efficient Prediction of Annual Yield from Stocks Using Hybrid Deep Learning
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    Chapter 19 Multitask Deep Learning Model for Diagnosis and Prognosis of the COVID-19 Using Threshold-Based Segmentation with U-NET and SegNet Classifiers
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    Chapter 20 Deep Neural Transfer Network Technique for Lung Cancer Detection
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    Chapter 21 Criminal Tendency Identification Using Deep Learning Approaches: A Novel Approach for Security Protection
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    Chapter 22 Banana Ripeness Identification and Classification Using Hybrid Models with RESNET-50, VGG-16 and Machine Learning Techniques
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    Chapter 23 The Study of Effectiveness of Automated Essay Scoring in MOOCs
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    Chapter 24 Remote Authentication of IoT Devices Based Upon Fog Computing
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    Chapter 25 Comparison of Different Denoising Networks on Motion Artifacted MRI Scans
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    Chapter 26 Plant Species Recognition Using Custom-Developed Neural Network with Optimized Hyperparameters
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    Chapter 27 Implementation of Legal Documents Text Summarization and Classification by Applying Neural Network Techniques
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    Chapter 28 Robust Image Watermarking Using Arnold Map and Adaptive Threshold Value in LWT Domain
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    Chapter 29 Handcrafted and Deep Features for Micro-expressions: A Study
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    Chapter 30 Multiclass Text Emotion Recognition in Social Media Data
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    Chapter 31 Machine Learning-Based Technique for Phishing URLs Detection from TLS 1.2 and TLS 1.3 Traffic Without Decryption
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    Chapter 32 Robust Pipeline for Detection of Adversarial Images
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    Chapter 33 A Hybrid Approach Using Wavelet and 2D Convolutional Neural Network for Hyperspectral Image Classification
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    Chapter 34 Assessment of Visual Stress Using EEG Signals
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    Chapter 35 A Novel Recommendation System for Vaccines Using Hybrid Machine Learning Model
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    Chapter 36 SiamLBP: Exploiting Texture Discrepancies for Deepfake Detection
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    Chapter 37 Rainfall Prediction Using Machine Learning
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    Chapter 38 Explainable AI Model to Minimize AI Risk and Maximize Trust in Malignancy Detection of the Pulmonary Nodules
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    Chapter 39 Empirical Analysis of Hybrid Classical Variational Quantum Neural Networks for Target Classification from SAR Data
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    Chapter 40 COVID-19 Social Distancing Detection and Email Violation Mechanisms
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    Chapter 41 Evaluating Generative Adversarial Networks for Gurumukhi Handwritten Character Recognition (CR)
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    Chapter 42 Evaluating Feature Importance to Investigate Publishers Conduct for Detecting Click Fraud
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    Chapter 43 A Deep Learning Model Based on CNN Using Keras and TensorFlow to Determine Real-Time Melting Point of Chemical Substances
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    Chapter 44 EEG Emotion Recognition Using Convolution Neural Network
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    Chapter 45 CCL-Net: Complete Comprehensive Learning and Modality Preserving-Based RGBD Complex Salient Object Detection
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    Chapter 46 LexRank and PEGASUS Transformer for Summarization of Legal Documents
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    Chapter 47 DoS Defense Using Modified Naive Bayes
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    Chapter 48 Adaptive Threshold Peak Detection for Launch Vehicle Simulation Time Series Data Analysis
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    Chapter 49 Clustering for Global and Local Outliers
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    Chapter 50 Smart Timer Module for Handheld Demolition Tools
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    Chapter 51 Dynamic Hand Gesture Recognition Using mYOLO-CSRT and HGCNN for Human–Machine Interaction
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    Chapter 52 Cov-CONNET: A Deep CNN Model for COVID-19 Detection
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    Chapter 53 AI-Based Real Time Object Measurement Using YOLO V5 Algorithm
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    Chapter 54 Prediction of Heart Abnormality Using Heart Sound Signals
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    Chapter 55 An Intelligent Smart Waste Management System Using Mobile Application and IoT
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    Chapter 56 Pan-Sharpening of Multi-spectral Remote Sensing Data Using Multi-resolution Analysis
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    Chapter 57 Detection of Malaria by Using a CNN Model
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    Chapter 58 Session-Based Song Recommendation Using Recurrent Neural Network
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    Chapter 59 The Classification of Breast Cancer Based on Hyper-Tuned AdaBoost Ensemble Model
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    Chapter 60 Detection of COVID-19-Affected Persons Using Convolutional Neural Network from X-Rays’ Images
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    Chapter 61 Vehicle Theft Identification Using Machine Learning and OCR
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    Chapter 62 Ransomware Attack Detection by Applying Machine Learning Techniques
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    Chapter 63 Weed Detection in Soybean Crop Using YOLO Algorithm
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    Chapter 64 An IoT Machine Learning Model-Based Real-Time Diagnostic and Monitoring System
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    Chapter 65 Hausa Character Recognition Using Logistic Regression
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    Chapter 66 Long Short-Term Memory-Driven Recurrent Neural Network for Real-Time Stock Monitoring and Prediction
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    Chapter 67 Performance Evaluation of TQWT and EMD for Automated Major Depressive Disorder Detection Using EEG Signals
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    Chapter 68 Smart Crop Recommendation System: A Machine Learning Approach for Precision Agriculture
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    Chapter 69 Digital Image Transformation Using Outer Totality Cellular Automata
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    Chapter 70 Community Detection Using Context-Aware Deep Learning Model
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    Chapter 71 Discriminative Feature Construction Using Multi-labeling Approach for Automatic Speech Emotion Recognition
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    Chapter 72 Intuitionistic Fuzzy Kernel Random Vector Functional Link Classifier
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    Chapter 73 Mapping of Waterlogged Areas and Silt-Affected Areas After the Flood Using the Random Forest Classifier on the Sentinel-2 Dataset
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Title
Machine Intelligence Techniques for Data Analysis and Signal Processing
Published by
Springer Nature Singapore, June 2023
DOI 10.1007/978-981-99-0085-5
ISBNs
978-9-81-990084-8, 978-9-81-990085-5
Editors

Sisodia, Dilip Singh, Garg, Lalit, Pachori, Ram Bilas, Tanveer, M.

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