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Intelligent Computing and Optimization

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Cover of 'Intelligent Computing and Optimization'

Table of Contents

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    Book Overview
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    Chapter 1 Digitally-Enabled Dynamic Capabilities for Digital Transformation
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    Chapter 2 Digitization of Feeding Processes in Pond Aquaculture Using a Cyber-Physical System for Analyzing Monitoring Data and Transmitting Information Using LoRaWAN Technology
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    Chapter 3 Energy Efficient Routing Approaches in Wireless Sensor Networks: A Review
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    Chapter 4 Robust Vehicle Speed Estimation Based on Vision Sensor Using YOLOv5 and DeepSORT
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    Chapter 5 Automatic Alignment of Aerospace Images Based on the Search for Characteristic Points
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    Chapter 6 Method for Plant Leaves Square Area Estimation Based on Digital Image Analysis
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    Chapter 7 Digital Revolution Through Computational Intelligence: Innovative Applications and Trends
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    Chapter 8 Compressive Sensing and Orthogonal Matching Pursuit-Based Approach for Image Compression and Reconstruction
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    Chapter 9 Capabilities for Digital Transformation and Sustainability in an Emerging Economy
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    Chapter 10 Non-invasive Glucose Measurement with 940 nm Sensor Using Short Wave NIR Technique
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    Chapter 11 Managing the Purchase-Sale Process of Digital Currencies Under Fuzzy Conditions
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    Chapter 12 A Comparative Analysis of the Impacts of Traditional and Digital Billing Methods
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    Chapter 13 Chest X-ray Image Classification Using Convolutional Neural Network to Identify Tuberculosis
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    Chapter 14 Digital Wireless Mini-transduce of Plant Thermoregulation
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    Chapter 15 Effective Fault Prediction Techniques for the Green Cloud Computing Environment Applying Machine Learning to Enhance Network Management
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    Chapter 16 Transforming the Financial Industry Through Machine and Deep Learning Innovations
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    Chapter 17 MRI-Based Brain Tumor Classification Using Various Deep Learning Convolutional Networks and CNN
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    Chapter 18 Deciphering Handwritten Text: A Convolutional Neural Network Framework for Handwritten Character Recognition
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    Chapter 19 Applying Machine Learning Techniques to Forecast Demand in a South African Fast-Moving Consumer Goods Company
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    Chapter 20 A Review on Machine Learning Algorithms for Cost Estimation in Construction Projects
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    Chapter 21 A Computer Assisted Detection Framework of Kidney Diseases Based on CNN Model
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    Chapter 22 Rice Blast Disease Detection Using CNN Models and DCGAN
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    Chapter 23 Evaluation of Performance of Different Machine Learning Techniques for Structural Models
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    Chapter 24 Age Estimation from Human Facial Expression Using Deep Neural Network
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    Chapter 25 Recognition and Classification of Crop Images by Convolutional Neural Network of Hybrid Architecture
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    Chapter 26 A Comparative Study of Deep Learning Algorithms and SARIMA Models for Forecasting Monthly Solar Radiation and UV Index: Case Study for Mauritius
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    Chapter 27 A Study on Fault Classification and Location Using Supervised Machine Learning
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    Chapter 28 Deep Learning-Based Time Series Forecasting for CO 2 Emission
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    Chapter 29 Manila City House Prices: A Machine Learning Analysis of the Current Market Value for Improvements
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    Chapter 30 An Analysis of the Relationship Between Temperature Rise and GDP Using Machine Learning Techniques
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    Chapter 31 Machine Learning Techniques for Predicting Remaining Useful Life (RUL) of Machinery for Sustainable Manufacturing Lines
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    Chapter 32 Machine Learning-Based Predictive Modelling of Spot-Welding Process Parameters
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Title
Intelligent Computing and Optimization
Published by
Springer Nature Switzerland, July 2023
DOI 10.1007/978-3-031-36246-0
ISBNs
978-3-03-136245-3, 978-3-03-136246-0
Editors

Vasant, Pandian, Shamsul Arefin, Mohammad, Panchenko, Vladimir, Thomas, J. Joshua, Munapo, Elias, Weber, Gerhard-Wilhelm, Rodriguez-Aguilar, Roman

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