Proceedings of International Conference on Computational Intelligence: ICCI 2020 (Algorithms for Intelligent Systems)

✍ Scribed by Ritu Tiwari (editor), Apoorva Mishra (editor), Neha Yadav (editor), Mario Pavone (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 373
• Category: Library

✦ Synopsis

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2020) held at Indian Institute of Information Technology, Pune, India during 12–13 December, 2020. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing,supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

✦ Table of Contents

Preface
Contents
About the Editors
1 Missing Data Imputation for Solar Radiation Using Generative Adversarial Networks
1 Introduction
2 Related Work
3 Model for Data Imputation
3.1 Problem Formulation
3.2 Architecture for Data Imputation
4 Proposed Methodology
5 Empirical Investigation and Result Analysis
5.1 Experiment
5.2 Results and Discussion
6 Conclusion and Future Works
References
2 A Survey on Object Detection and Tracking in a Video Sequence
1 Introduction
2 Object Detection and Classification
2.1 Frame Difference
2.2 Optical Flow
2.3 Background Subtraction
2.4 Deep Learning
3 Object Tracking
3.1 Point Tracking
3.2 Kernel Tracking
3.3 Silhouette Tracking
3.4 Tracking Based on Deep Learning
4 Conclusion
References
3 Story-Plot Recommender Using Bidirectional LSTM Network
1 Introduction
2 Related Work
3 Implementation
3.1 Module 1: Training
3.2 Module 2: Testing
4 Results
5 Conclusion
References
4 A Novel Technique for Fake Signature Detection Using Two-Tiered Transfer Learning
1 Introduction
2 Literature Review
2.1 Our Contributions
3 Proposed Method
3.1 Pre-processing
3.2 CNN as Feature Extractor for Transfer Learning
3.3 Classification Models
3.4 Artificial Neural Network
4 Experimental Results and Discussion
5 Conclusion
References
5 Personality Prediction Through Handwriting Analysis Using Convolutional Neural Networks
1 Introduction
2 Related Works
3 Research Technique and Design
3.1 CNN Architecture for Handwriting Analysis:
4 Results and Analysis
4.1 Experiment 1
4.2 Experiment 2
4.3 Experiment 3
5 Conclusion and Future Scope
References
6 A Review on Deep Learning Framework for Alzheimer's Disease Detection from MRI
1 Introduction
2 Literature Review Using CNN
2.1 The Basic CNN and Architectural Innovations in CNN
2.2 Related Work Approaches
3 Methodology
3.1 Data Collection
3.2 Tools and Infrastructure
3.3 Algorithm Development
3.4 Pre-processing
3.5 Architecture of Convolution Neural Network Model
3.6 Prediction Using Boosted Forest
4 Results, Discussions, and Challenges
5 Conclusion
References
7 Machine Learning and IoT-Based Ultrasonic Humidification Control System for Longevity of Fruits and Vegetables
1 Introduction
1.1 Impacts of Post-harvest Losses
1.2 Factors Affecting Food Storage
1.3 Selection of a Suitable Humidifier
1.4 Ultrasonic Humidifiers
1.5 Machine Learning and IoT
2 Experimental Setup
2.1 Hardware Setup Humidification Module
2.2 Software Setup
3 Implementation
4 Results and Discussions
4.1 Storage of Mint
4.2 Storage of Mushroom
4.3 Storage of Tomato
4.4 Storage of Apple
5 Conclusion
References
8 Classification of Melanoma Using Efficient Nets with Multiple Ensembles and Metadata
1 Introduction
1.1 Key Contributions
2 Literature Review
3 Proposed Method
3.1 Random Sprinkling
3.2 Efficient Net
3.3 Attention Model
3.4 Majority Mean Ensemble
3.5 Absolute Correlation Ensemble
3.6 Method in Detail
4 Experimental Results
5 Conclusion
References
9 Performance of Optimization Algorithms in Attention-Based Deep Learning Model for Fake News Detection System
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Proposed Process Flow
4 Experimental Setup
4.1 Parameter Settings
5 Results and Discussions
6 Observations and Findings
7 Conclusion
References
10 Exploring Human Emotions for Depression Detection from Twitter Data by Reducing Misclassification Rate
1 Introduction
2 Related Works
3 Proposed Work
3.1 Preprocessing of Data
3.2 Classification by Multiple Dictionaries
3.3 NNS Classifier
3.4 Classification Using Emoticons
3.5 Extraction and Classification of User History
3.6 Recommendation System
4 Experiment and Results
5 Conclusion
References
11 Artificial Neural Network Training Using Marine Predators Algorithm for Medical Data Classification
1 Introduction
1.1 Marine Predators Algorithm
2 ANN Training Using MPA
3 Results and Discussion
4 Conclusions
References
12 Code Generation from Images Using Neural Networks
1 Introduction
2 Related Work
3 Synthetic Dataset Generation
4 Code Generation from Images: Our Proposed Methodology
4.1 Preprocessing
4.2 Classification of Components
4.3 React Native Code Generation
5 Results
6 Highlights and Analysis
7 Conclusion
References
13 A Novel Method to Detect the Tumor Using Low-Contrast Image Segmentation Technique
1 Introduction
2 Proposed Methodology
2.1 Image Preprocessing
2.2 Image Segmentation
2.3 Feature Extraction
3 Results and Discussion
4 Conclusion
References
14 The Detection of COVID-19 Using Radiography Images Via Convolutional Network-Based Approach
1 Introduction
1.1 Related Work
1.2 Main Contribution
2 Proposed Scheme
3 Model Architecture
4 Experimental Results
5 Conclusions and Future Work
References
15 Super-Resolution MRI Using Fractional Order Kernel Regression and Total Variation
1 Intoduction
2 Theory
2.1 Super-Resolution Reconstruction Framework
2.2 Fractional Order Adaptive Kernel Total Variation
2.3 Spectral Low Rank Prior
3 Proposed SRR Optmization
3.1 Subproblem 1: Update f k+1 By Minimizing
3.2 Subproblem 2: Update f1 k+1 By Minimizing
3.3 Subproblem 3: Lagrange Multiplier and Penalty Parameter Update
4 Result
4.1 MR Phantom Data Evaluation at Different Noise Levels
4.2 Reconstruction Accuracy
References
16 Identification of the Diseased Portions of an Infected Aloe Vera Leaf by Using Image Processing and k-Means Clustering
1 Introduction
2 k-Means Clustering Algorithm
3 Design of the Proposed Model
4 Result Analysis
4.1 Image as Input
4.2 Clustering of Image Pixels
4.3 Masking
4.4 Calculation of Percentage of the Diseased Portion
5 Conclusion
References
17 Restoration of Deteriorated Line and Color Inpainting
1 Introduction
2 Related Work
3 Proposed Method
3.1 Line Extraction
3.2 Restoration Model
3.3 Color Inpainting
3.4 Integration Module
4 User Survey and Analysis
5 Conclusions
References
18 Study to Find Optimal Solution for Multi-objects Detection by Background Image Subtraction with CNN in Real-Time Surveillance System
1 Introduction
2 Literature Review
3 Motivation for Study
4 Problem Definition
5 Proposed Methodology
6 Results and Discussions
7 Conclusion
References
19 Hole-Filling Method Using Nonlocal Non-convex Regularization for Consumer Depth Cameras
1 Introduction
2 Nonlocal Non-convex Approach for Hole-Filling in Depth Map
2.1 Degradation Model
2.2 DAMRF: Discontinuity Adaptive Markov Random Field
2.3 Non-local Means Filtering (NLM)
2.4 Non-local Means Regularization
2.5 Optimization Framework
2.6 Oversegmentation
3 Experiments
3.1 Synthetic Experiment
3.2 Real-World Experiment
4 Conclusion
References
20 Comparative Analysis of Image Fusion Techniques for Medical Image Enhancement
1 Introduction
2 Image Transforms
2.1 Discrete Wavelet Transform
2.2 Stationary Wavelet Transform
2.3 Principal Component Analysis
2.4 Image Fusion by Averaging
3 Result
4 Conclusion
References
21 Feature Selection and Deep Learning Technique for Intrusion Detection System in IoT
1 Introduction
2 Intrusion Detection System in IoT
3 Related Work
4 Proposed Framework
5 Evaluation and Analysis
6 Conclusions and Future Work
References
22 Mobile Element Based Energy Efficient Data Aggregation Technique in Wireless Sensor Networks—Bridging Gap Between Virtuality and Reality
1 Introduction
2 Data Aggregation Framework for Energy Efficiency
2.1 Overview
2.2 Data Aggregation Framework Using iSense Motes
2.3 Data Aggregation Framework Using QualNet
3 Results and Discussion
3.1 Observation using iSense Motes
3.2 Observation Using QualNet
4 Comparative Analysis of All Three Phases
4.1 Using iSense Motes
4.2 Using QualNet Simulator
5 Conclusion
6 Future Work
References
23 Implementing Development Status Scheme Based on Vehicle Ranging Technology
1 Introduction
2 Ultrasonic Ranging
3 Millimeter-Wave Radar Ranging
4 Laser Ranging
5 Visual Ranging
5.1 Monocular Vision Ranging
5.2 Binocular Vision Ranging Technology
6 Multi-sensor Fusion
6.1 Comparison of Traditional Ranging Techniques
6.2 Multi-sensor Fusion
7 Conclusion
References
24 Blockchain Based Electronic Health Record Management System for Data Integrity
1 Introduction
2 Related Work
3 Overview of Proposed Work
3.1 Proposed System Architecture of EHR Management
3.2 Implementation and Result
3.3 Comparative Analysis of Result
4 Conclusion
References
25 Strategy of Fuzzy Approaches for Data Alignment
1 Introduction
2 Literature Survey
2.1 Fuzzy Match
3 Methodology
3.1 Jaro Winkler Algorithm [4]
3.2 Levenshtein Algorithm [6]
3.3 N-grams Algorithm [8]
3.4 Cosine Similarity [10]
3.5 Boyer Moore Algorithm [12]
4 Testing and Evaluation of Algorithms
5 Conclusion and Future Scope
References
26 Microgrid System and Its Optimization Algorithms
1 Introduction
2 The Basic Structure of a Microgrid
3 The Operation Mode of Microgrid
3.1 Grid-Connected Mode
3.2 Isolated Mode
4 Optimal Configuration of Microgrid
4.1 A Microgrid Model
4.2 Solutions to Microgrid Model
5 Research’s Status and Prospect
6 Conclusion
References
27 Reducing Errors During Stock Value Prediction Q-Learning-Based Generic Algorithm
1 Introduction
2 Literature Review
3 Proposed Q-Learning-Based GA for Stock Value Prediction (QGA)
4 Results and Comparisons
5 Conclusion and Future Scope
References
28 An Adaptive Stochastic Gradient-Free Approach for High-Dimensional Blackbox Optimization
1 Introduction
1.1 Related Works
2 Background
2.1 Gaussian Smoothing for GFO Methods
3 The Adaptive Stochastic Gradient-Free Method (ASGF)
3.1 The ASGF Algorithm
3.2 Adaptivity of the Smoothing Parameter
4 Numerical Experiments
4.1 Low-Dimensional Optimization
4.2 High-Dimensional Optimization
4.3 Reinforcement Learning Tasks
5 Conclusions
References
29 Analysis of Cotton Yarn Count by Fuzzy Logic Model
1 Introduction
2 Soft Computing Performances
2.1 Fuzzification
2.2 Fuzzy Inference
2.3 Defuzzification
3 Fuzzy Inference Engine
4 Proposed Model
5 R Analysis
6 Conclusion
References
30 A Risk-Budgeted Portfolio Selection Strategy Using Invasive Weed Optimization
1 Introduction
2 Related Work
3 Problem Formulation
4 Proposed Strategy
5 Experimental Results
6 Conclusions and Future Scope
References
Author Index