Proceedings of Research and Applications in Artificial Intelligence: RAAI 2020: 1355 (Advances in Intelligent Systems and Computing, 1355)

✍ Scribed by Indrajit Pan (editor), Anirban Mukherjee (editor), Vincenzo Piuri (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 350
• Edition: 1st ed. 2021
• Category: Library

✦ Synopsis

This book discusses the recent research trends and upcoming applications based on artificial intelligence. It includes best selected research papers presented at the International Conference on Research and Applications in Artificial Intelligence (RAAI 2020), organized by Department of Information Technology, RCC Institute of Information technology, Kolkata, West Bengal, India during 19 – 20, December, 2020. Many versatile fields of artificial intelligence are categorically addressed through different chapters of this book. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in these important areas.

✦ Table of Contents

RAAI 2020 Committee Members
Preface
Contents
Editors and Contributors
Prediction and Analysis on COVID-19 Using Positive and Negative Association Rule Mining
1 Introduction
2 Methodology
2.1 Data Source and COVID-19 Symptoms
2.2 Algorithms
3 Result and Discussions
4 Conclusion
References
Hybrid Algorithm Based on DWT-DCT-RSA with Digital Watermarking for Secure Image Transfer
1 Introduction
2 Literature Review
3 Proposed Hybrid DWT-DCT-RSA Algorithm
3.1 Procedure for Encryption
3.2 Procedure for Decryption
4 Proposed Algorithms
4.1 Key generation Algorithm [5]
4.2 The DWT-DCT-RSA based Encryption Algorithm
4.3 The DWT-DCT-RSA based Decryption algorithm
5 Result and Performance Evaluation
6 Conclusion
References
Detecting Sexually Predatory Behavior on Open-Access Online Forums
1 Introduction
2 Methodology
2.1 Data Manipulation and Text Pre-processing
2.2 Vector Representation of Words
2.3 Feature Extraction Using Word Embedding Aggregation
2.4 Two-Stage Classification System
3 Results
3.1 Sexual Predatory Conversation Identification Task
3.2 First-Stage Classification Results
3.3 Second-Stage Classification Results
3.4 Contextual Details
4 Analyzing the Classification System
4.1 First-Stage Classifier
4.2 Second-Stage Classifier
5 Conclusion
References
Swarm-Based Sudoku Solution: An Optimization Procedure
1 Introduction
2 Related Work
3 Proposed Work
3.1 Swarm-Based Sudoku Puzzle Solution
4 Experimental Result
5 Conclusion
References
Application of Cellular Automata (CA) for Predicting Urban Growth and Disappearance of Vegetation and Waterbodies
1 Introduction
2 Methodology
2.1 Study Area
2.2 Data Used
2.3 Method
3 Results and Discussions
4 Conclusions
References
Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature
1 Introduction
2 Recent Works
3 Corpus
3.1 Sarcastic Words Distribution
4 Deep pLSTM Architecture
4.1 Hyperparameters Tuning
5 Results and Analysis
6 Benchmark Comparisons
7 Discussion
8 Conclusion and Future Work
References
Sentiment Analysis of Covid-19 Tweets Using Evolutionary Classification-Based LSTM Model
1 Introduction
2 Related Works
3 Preparing Covid-19 Dataset
3.1 Data Pre-Processing
4 Feature A: Covid-19 Specified Words Identification
4.1 Word Popularity
5 Feature B: Word Popularity Detection Using N-gram
6 Sentiment Analysis
6.1 Sentiment Classification
7 Sentiment Modeling Using Sequential LSTM
8 Conclusion & Future Scope
References
Clustering as a Brain-Network Detection Tool for Mental Imagery Identification
1 Introduction
2 Proposed Techniques
2.1 Computation of FCM-Based Brain Network Features
2.2 Computation of SOM-Based Brain-Network Features
3 Experiments and Results
3.1 Data Acquisition and Pre-processing
3.2 Training and Classification for FCM-Based Brain Networks
3.3 Brain-Network Computation by Extended SOM
4 Performance Analysis
4.1 Classifier Performance
4.2 Statistical Validation Using Wilcoxon Signed-Rank Test
5 Discussion
6 Conclusions
References
Comparative Study of the Effect of Different Fitness Functions in PSO Algorithm on Band Selection of Hyperspectral Imagery
1 Introduction
2 Literature Survey
3 Relevant Techniques for the Proposed Method
3.1 Particle Swam Optimization
4 Proposed Work
4.1 Algorithm of the Proposed Work
5 Experiment and Analysis
5.1 Data Set Description
5.2 Result Analysis
6 Conclusion
References
Breast Abnormality Detection Using Texture Feature Extracted by Difference-Based Variable-Size Local Filter (DVLF)
1 Introduction
2 Proposed System
2.1 Pre-processing
2.2 Blood Perfusion Image Generation
2.3 Difference-Based Variable-Size Local Filter (DVLF)
2.4 Asymmetry Analysis
3 Results and Discussion
3.1 Dataset Collection
3.2 Classification
4 Conclusion
References
Nuclei Image Boundary Detection Based on Interval Type-2 Fuzzy Set and Bat Algorithm
1 Introduction
2 Boundary Detection in an Image
2.1 Interval Type-2 Fuzzy Set (IT2FS)
3 Mapping of Gradients into IT2FS
4 Boundary Detection as Constraint Optimization
5 Theory of Bat Algorithm (BA)
5.1 Virtual Bats Movement
6 Proposed Method for Boundary Detection
7 Results and Discussion
8 Conclusions
References
Machine Learning Approach to Sentiment Analysis from Movie Reviews Using Word2Vec
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Data Collection
3.2 Cleaning and Preprocessing Data
3.3 Feature Selection
3.4 Splitting Training and Testing Set
3.5 Apply Machine Learning Algorithm
4 Results and Discussion
5 Conclusions and Future Work
References
Selection of Edge Detection Techniques Based on Machine Learning Approach
1 Introduction
2 Various Edge Detection Techniques
3 Machine Learning
4 Analysis of the Operators: ML Approach
5 Results and Discussions
References
ANN-Based Self-Tuned PID Controller for Temperature Control of Heat Exchanger
1 Introduction
2 System Modeling with Traditional PID Controller
3 System Modeling with the Proposed ANN-PID Controller
4 Simulation Results and Analysis
5 Conclusion
References
A Novel Partitioning Algorithm to Process Large-Scale Data
1 Introduction
2 Concept Behind Pairwise Partitioning
3 Pseudocode of Pairwise Partitioning
3.1 Partitioning Table Generation Procedure
4 Importance of Partitioning Table on Big Data Management
4.1 Important Observations Regarding Essential Vertex & Result Analysis
5 Conclusions and Future Scope
References
Segmentation of Blood Vessels, Optic Disc Localization, Detection of Exudates, and Diabetic Retinopathy Diagnosis from Digital Fundus Images
1 Introduction
1.1 Diabetic Retinopathy
1.2 Motivation
1.3 Proposed Methods
2 Background
3 Materials and Methods
3.1 Hardware and Libraries
3.2 Datasets
3.3 Proposed Methods
4 Experimental Results
4.1 Segmented Blood Vessels
4.2 Localized Optic Disc
4.3 Detected Exudates
4.4 Binary Diabetic Retinopathy Diagnosis
5 Conclusions
References
Interval Type-2 Fuzzy Framework for Healthcare Monitoring and Prediction
1 Introduction
2 Preliminaries
2.1 Type-1 Fuzzy Set (T1FS)
2.2 Type-2 Fuzzy Set (T2FS)
2.3 Footprint of Uncertainty (FOU)
2.4 Interval Type-2 Fuzzy Set
3 Interval Type-2 Fuzzy Logic System (IT2FL)
3.1 Fuzzifier
3.2 Fuzzy Rules
3.3 Fuzzy Inference
3.4 Type-Reducer and Defuzzifier
3.5 Performance Evaluation
4 Results and Discussion
5 Conclusions
References
Real-time Social Distancing Monitoring and Detection of Face Mask to Control the Spread of COVID-19
1 Introduction
2 Literature Study
3 Proposed Methodology
3.1 Social Distancing Violations and Face Mask Classifier Using DBSCAN and DSFD Algorithm
3.2 Real-Time Face Mask Classification
4 Results and Discussion
5 Conclusion
References
Emotion Recognition from Feature Mapping Between Two Different Lobes of Human Brain Using EEG
1 Introduction
2 Principles and Methodologies
2.1 EEG Data Acquisition
2.2 Pre-processing
2.3 Feature Extraction
2.4 Feature Mapping
3 Experimental Results
4 Conclusion and Future Scope
References
Secured Diabetic Retinopathy Detection through Hard Exudates
1 Introduction
2 Proposed Scheme for DR Detection Through Hard Exudates
3 Dual Watermarking on the Automated Report
3.1 Watermark Embedding Methodology
3.2 Watermark Extraction Methodology
4 Results and Discussion
4.1 Results and Discussion on DR Detection
4.2 Results and Discussion on Dual Watermarking
5 Conclusion
References
SAR Image Change Detection Using Modified Gauss-Log Ratio Operator and Convolution Neural Network
1 Introduction
2 The Problem Statements and an Overview of the Proposed Process
3 Methodology
3.1 Preclassification by Using Modified Gauss Log Ratio and FCM
3.2 Sample Selection, Patch Generation, and CNN Training
3.3 Classification Using CNN
4 Experimental Results and Analysis
4.1 Dataset Description
4.2 Experimental Settings
4.3 Result and Discussion
5 Conclusions
References
Convolutional Neural Network-Based Visually Evoked EEG Classification Model on MindBigData
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset Acquisition
3.2 Preprocessing
3.3 Classification of EEG Spectrogram Images with Proposed CNN Model
4 Result and Discussion
5 Conclusion
References
Design and Development of a Pipeline Inspection Robot for Visual Inspection and Fault Detection
1 Introduction
2 System Design
3 Result and Analysis
4 Conclusion and Future Work
References
A Random Forest Classifier Combined with Missing Data Strategies for Predicting Chronic Kidney Disease Stages
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Data Analysis and Filtering
2.3 Random Forest Classifier
3 Computational Experiments
3.1 Scenarios
3.2 Experimental Setup
3.3 Results and Discussion
4 Conclusion
References
Automatic Cataract Detection Using Sobel and Morphological Dilation Operation
1 Introduction
2 Related Works
3 Problem Identification
4 Proposed Work and Implementation
4.1 Image Pre-processing
4.2 Thresholding
4.3 Sobel Edge Detection Technique
4.4 Morphological Dilation
4.5 Cataract Region Recognition
4.6 Sobel Magnitude and Dilation Algorithm:
5 Experimental Analyses
6 Conclusions
References
Context Based Searching in Cloud Data for Improved Precision of Search Results
1 Introduction
1.1 Context-Based Searching
2 Designing Ontologies
2.1 Restriction Types
3 OWL Constructs Overview
3.1 OWL Syntax of an Ontology
3.2 Ontology Building Tools: Protégé
3.3 Sample Ontologies
4 Word Relativity Computation
4.1 Concept of Affinity Table
5 Conclusion
References
Gaussian-Based Spatial FCM Technique for Interdisciplinary Image Segmentation
1 Introduction
2 Methodology
3 Result and Discussion
4 Conclusion
References
Interactive and Intelligent Tutoring of Graphical Solutions
1 Introduction
2 Proposed Model
3 Experiment
3.1 Lesson Mode
3.2 Test Mode
4 Conclusion
References
COVID-19 India Forecast Preparedness for Potential Emergencies
1 Introduction
1.1 Objective
2 Methodology and Results
3 Discussion and Conclusion
References
Prediction of Cyclodextrin Host-Guest Binding Through a Hybrid Support Vector Method
1 Introduction
2 Materials and Methods
2.1 Data Collection
2.2 Machine Learning Approach
3 Results and Discussion
4 Conclusion
References
Hybrid Unsupervised Extreme Learning Machine Applied to Facies Identification
1 Introduction
2 Materials and Methods
3 Results and Discussions
4 Conclusion
References
Decision Tree-Based Classification Model to Predict Student Employability
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Data Collection
3.2 Data Preprocessing
3.3 Feature Selection
3.4 Model Building and Cross-Validation
4 Experimental Results
5 Conclusion
References
Author Index
506347_1_En_33_Chapter_OnlinePDF.pdf
Interactive and Intelligent Tutoring of Graphical Solutions
1 Introduction
2 Proposed Model
3 Experiment
3.1 Lesson Mode
3.2 Test Mode
4 Conclusion
References