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Soft Computing for Problem Solving

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Cover of 'Soft Computing for Problem Solving'

Table of Contents

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    Book Overview
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    Chapter 1 Benchmarking State-of-the-Art Methodologies for Optic Disc Segmentation
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    Chapter 2 Automated Student Emotion Analysis During Online Classes Using Convolutional Neural Network
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    Chapter 3 Transfer Learning-Based Malware Classification
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    Chapter 4 A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification
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    Chapter 5 A Fast and Efficient Methods for Eye Pre-processing and DR Level Detection
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    Chapter 6 A Deep Neural Model CNN-LSTM Network for Automated Sleep Staging Based on a Single-Channel EEG Signal
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    Chapter 7 An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach
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    Chapter 8 Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture
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    Chapter 9 Medical Prescription Label Reading Using Computer Vision and Deep Learning
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    Chapter 10 Autoencoder-Based Deep Neural Architecture for Epileptic Seizures Classification
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    Chapter 11 Stock Market Prediction Using Deep Learning Techniques for Short and Long Horizon
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    Chapter 12 Improved CNN Model for Breast Cancer Classification
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    Chapter 13 Performance Assessment of Normalization in CNN with Retinal Image Segmentation
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    Chapter 14 A Novel Multi-day Ahead Index Price Forecast Using Multi-output-Based Deep Learning System
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    Chapter 15 Automatic Retinal Vessel Segmentation Using BTLBO
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    Chapter 16 Exploring the Relationship Between Learning Rate, Batch Size, and Epochs in Deep Learning: An Experimental Study
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    Chapter 17 Encoder–Decoder (LSTM-LSTM) Network-Based Prediction Model for Trend Forecasting in Currency Market
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    Chapter 18 Histopathological Nuclei Segmentation Using Spatial Kernelized Fuzzy Clustering Approach
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    Chapter 19 Tree Detection from Urban Developed Areas in High-Resolution Satellite Images
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    Chapter 20 Emotional Information-Based Hybrid Recommendation System
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    Chapter 21 A Novel Approach for Malicious Intrusion Detection Using Ensemble Feature Selection Method
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    Chapter 22 Automatic Criminal Recidivism Risk Estimation in Recidivist Using Classification and Ensemble Techniques
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    Chapter 23 Assessing Imbalanced Datasets in Binary Classifiers
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    Chapter 24 A Hybrid Machine Learning Approach for Multistep Ahead Future Price Forecasting
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    Chapter 25 Soft Computing Approach for Student Dropouts in Education System
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    Chapter 26 Machine Learning-Based Hybrid Models for Trend Forecasting in Financial Instruments
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    Chapter 27 Support Vector Regression-Based Hybrid Models for Multi-day Ahead Forecasting of Cryptocurrency
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    Chapter 28 Image Segmentation Using Structural SVM and Core Vector Machines
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    Chapter 29 Identification of Performance Contributing Features of Technology-Based Startups Using a Hybrid Framework
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    Chapter 30 Fraud Detection Model Using Semi-supervised Learning
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    Chapter 31 A Modified Lévy Flight Grey Wolf Optimizer Feature Selection Approach to Breast Cancer Dataset
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    Chapter 32 Feature Selection Using Hybrid Black Hole Genetic Algorithm in Multi-label Datasets
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    Chapter 33 Design and Analysis of Composite Leaf Spring Suspension System by Using Particle Swarm Optimization Technique
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    Chapter 34 Superpixel Image Clustering Using Particle Swarm Optimizer for Nucleus Segmentation
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    Chapter 35 Whale Optimization-Based Task Offloading Technique in Integrated Cloud-Fog Environment
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    Chapter 36 Solution to the Unconstrained Portfolio Optimisation Problem Using a Genetic Algorithm
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    Chapter 37 Task Scheduling and Energy-Aware Workflow in the Cloud Through Hybrid Optimization Techniques
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    Chapter 38 A Hyper-Heuristic Method for the Traveling Repairman Problem with Profits
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    Chapter 39 Economic Dispatch Using Adapted Particle Swarm Optimization
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    Chapter 40 A Mathematical Model to Minimize the Total Cultivation Cost of Sugarcane
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    Chapter 41 Genetically Optimized PID Controller for a Novel Corn Dryer
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    Chapter 42 Minimization of Molecular Potential Energy Function Using Laplacian Salp Swarm Algorithm (LX-SSA)
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    Chapter 43 Performance Evaluation by SBM DEA Model Under Fuzzy Environments Using Expected Credits
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    Chapter 44 Measuring Efficiency of Hotels and Restaurants Using Recyclable Input and Outputs
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    Chapter 45 Efficiency Assessment of an Institute Through Parallel Network Data Envelopment Analysis
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    Chapter 46 Efficiency Measurement at Major Ports of India During the Years 2013–14 to 2018–19: A Comparison of Results Obtained from DEA Model and DEA with Shannon Entropy Technique
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    Chapter 47 Ranking of Efficient DMUs Using Super-Efficiency Inverse DEA Model
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    Chapter 48 Data Encryption in Fog Computing Using Hybrid Cryptography with Integrity Check
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    Chapter 49 Reducing Grid Dependency and Operating Cost of Micro Grids with Effective Coordination of Renewable and Electric Vehicle’s Storage
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    Chapter 50 A Review Survey of the Algorithms Used for the Blockchain Technology
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    Chapter 51 Relay Coordination of OCR and GFR for Wind Connected Transformer Protection in Distribution System Using ETAP
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    Chapter 52 Localized Community-Based Node Anomalies in Complex Networks
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    Chapter 53 Time Series Analysis of National Stock Exchange: A Multivariate Data Science Approach
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    Chapter 54 A TOPSIS Method Based on Entropy Measure for q -Rung Orthopair Fuzzy Sets and Its Application in MADM
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    Chapter 55 A Novel Score Function for Picture Fuzzy Numbers and Its Based Entropy Method to Multiple Attribute Decision-Making
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Title
Soft Computing for Problem Solving
Published by
Springer Nature Singapore, March 2023
DOI 10.1007/978-981-19-6525-8
ISBNs
978-9-81-196524-1, 978-9-81-196525-8
Editors

Thakur, Manoj, Agnihotri, Samar, Rajpurohit, Bharat Singh, Pant, Millie, Deep, Kusum, Nagar, Atulya K.

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