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Applied Machine Learning and Data Analytics

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Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning Methods to Automate Embryo Classification and Evaluation
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    Chapter 2 Univariate Feature Fitness Measures for Classification Problems: An Empirical Assessment
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    Chapter 3 Securing Advanced Metering Infrastructure Using Blockchain for Effective Energy Trading
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    Chapter 4 Keratoconus Classification Using Feature Selection and Machine Learning Approach
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    Chapter 5 Semantic Segmentation of the Lung to Examine the Effect of COVID-19 Using UNET Model
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    Chapter 6 SMDKGG: A Socially Aware Metadata Driven Knowledge Graph Generation for Disaster Tweets
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    Chapter 7 Brain MRI Image Classification Using Deep Learning
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    Chapter 8 A Real-Time Face Recognition Attendance Using Machine Learning
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    Chapter 9 Towards Abalone Differentiation Through Machine Learning
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    Chapter 10 Better Qualitative Searching for Effecting the Performance of Machine Translation
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    Chapter 11 RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation Using Convolutional Neural Network
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    Chapter 12 A Credit Card Fraud Detection Model Using Machine Learning Methods with a Hybrid of Undersampling and Oversampling for Handling Imbalanced Datasets for High Scores
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    Chapter 13 Implementation of YOLOv7 for Pest Detection
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    Chapter 14 Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective
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    Chapter 15 A Novel Approach: Semantic Web Enabled Subject Searching for Union Catalogue
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    Chapter 16 How People in South America is Facing Monkeypox Outbreak?
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    Chapter 17 Multilevel Classification of Satellite Images Using Pretrained AlexNet Architecture
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    Chapter 18 Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning
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    Chapter 19 Retrieval of Weighted Lexicons Based on Supervised Learning Method
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    Chapter 20 Performance Evaluation of Smart Flower Optimization Algorithm Over Industrial Non-convex Constrained Optimization Problems
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Title
Applied Machine Learning and Data Analytics
Published by
Springer Nature Switzerland, July 2023
DOI 10.1007/978-3-031-34222-6
ISBNs
978-3-03-134221-9, 978-3-03-134222-6
Editors

Jabbar, M. A., Ortiz-Rodríguez, Fernando, Tiwari, Sanju, Siarry, Patrick

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