Proceeding of International Conference on Computational Science and Applications: ICCSA 2021 (Algorithms for Intelligent Systems)

Organizing Committee
Preface
Contents
About the Editors
Part I Computational Intelligence
1 Novel Approach for Feature Selection Using Genetic Algorithm
	1 Introduction
		1.1 Statistical-Based Methods
	2 Related Work
	3 Genetic Algorithm
		3.1 Terminology for Genetic Algorithm
		3.2 Different Genetic Operators
		3.3 Function Definition
		3.4 Working of the Proposed Genetic Algorithm
		3.5 Datasets Used
	4 Experimental Result
	5 Conclusion
	References
2 A User-Driven COVID-19 Diseases Contact Tracing System
	1 Introduction
	2 Related Work
	3 Implementation
		3.1 Hardware Module ESP32
		3.2 Software HTML Page-Serverless Webpage
		3.3 Block Diagram
		3.4 The Schematic Representation of Implemented Application
	4 Contact Tracing Algorithm
	5 Result Analysis
	6 Conclusion
	References
3 A Study of Genetic Mutations, Amplification, Deletion and Fusion in Endocrine Resistant Advanced Breast Cancer
	1 Introduction
	2 Breast Cancer
		2.1 Breast Cancer Classification
	3 Genomic Perspective of Breast Cancer
	4 Study of Genes
	5 Conclusion
	References
4 TrueReview—A Review Scraper and Analyzer for Customer Product Reviews for E-commerce Sites using Text Mining
	1 Introduction
	2 Literature Survey
	3 Methodologies
		3.1 Crawling the Web
		3.2 Preprocessing Crawled Data
		3.3 Review Classification
	4 Results
	5 Conclusion
	References
5 Survey of Sentence Scoring Techniques for Extractive Text Summarization
	1 Introduction
	2 Literature Survey
	3 Extractive Text Summarization Techniques
		3.1 Statistical-Based Methods
		3.2 Concept-Based Methods
		3.3 Topic-Based Methods
		3.4 Clustering-Based Methods
		3.5 Semantic-Based Methods
		3.6 Machine-Learning Based Methods
	4 Sentence Scoring Algorithms
		4.1 Word Frequency Algorithm
		4.2 TF-IDF Algorithm
		4.3 TextRank Algorithm
		4.4 KL Sum Algorithm
	5 Text Pre-processing for Each Algorithm
		5.1 Word Frequency Algorithm
		5.2 TF-IDF Algorithm
		5.3 TextRank Algorithm
		5.4 KL Sum Algorithm
	6 Experimental Analysis
	7 Conclusion and Future Scope
		7.1 Challenges for Multi-document Summarization
		7.2 Challenges for Input
		7.3 Challenges Related to Length of Summary
		7.4 Challenges for Evaluating the Summary
	References
Part II Computer Vision
6 Voice Activated Plant Irrigation
	1 Introduction
	2 Role of IoT in Agriculture
	3 Literature Survey
		3.1 Proposed System
		3.2 Materials or Components Used
	4 Methodology and Results
		4.1 Block Diagram
		4.2 Hardware Setup
		4.3 Flowchart
		4.4 Workflow of the System
		4.5 Blynk, ThingSpeak, and Google Assistant Output
	5 Future Scope and Complexities
		5.1 Complexities Faced
		5.2 Area of Application and Future Scope
	6 Conclusion
	References
7 A Study on Improving Banking Process for Predicting Prospective Customers of Term Deposits using Explainable Machine Learning Models
	1 Introduction
	2 Related Research
	3 Proposed Approach and Models
		3.1 Dataset
		3.2 Dataset Preparation and EDA
		3.3 Class Balancing
		3.4 Model Control—Hyperparameter Tuning
		3.5 Experiments Procedure
		3.6 Selecting Decision Threshold
		3.7 Experiments Results
	4 Results and Discussion
	5 Major Findings of the Study
	6 Conclusion
	References
8 Overview of Image Caption Generators and Its Applications
	1 Introduction
	2 Related Work
		2.1 Industrial Sector
		2.2 Assistive Technology
		2.3 Agricultural Application
	3 Limitations of Image Caption Generation
		3.1 Limitations in Industrial Applications
		3.2 Limitations in Assistive Technology
		3.3 Limitations in Agricultural Applications
	4 Conclusion and Future Scope
	References
9 A Vision-Based Approach for Solid Waste Materials Feature Extraction Using Deep Learning Techniques
	1 Introduction
	2 Related Work
	3 Feature Extraction Using Pre-trained Models
		3.1 VGG 16 Architecture
		3.2 VGG 19 Architecture
		3.3 RestNet50 Architecture
		3.4 AlexNet Architecture
	4 Result and Discussion
		4.1 Feature Extraction
		4.2 Deep Learning Model Training
	5 Conclusion
	6 Future Work
	References
10 Effective Skin Disease Detection by Analyzing Color and Texture Using Image Processing
	1 Introduction
	2 Literature
	3 Data Collection
	4 Methodology
		4.1 Input Image
		4.2 Pre-processing
		4.3 Feature Extraction
		4.4 Convolutional Neural Network
	5 Classification
	6 Conclusion
	References
11 Construction Productivity Analysis in Construction Industry: An Indian Perspective
	1 Introduction
	2 Related Work
		2.1 Limitation of Existing Work
	3 Methodology
		3.1 Data Preparation Phase
		3.2 Data Analysis Phase
	4 Automation in Construction Industry
	5 Proposed Work
	6 Conclusion
	References
Part III Communication and Networking
12 Checkpoint-Based Blockchain Approach for Securing Online Transaction
	1 Introduction
		1.1 Fraud Detection
		1.2 The Objective of the Work
	2 Literature Review
	3 Research Gap Identified
	4 Problem Statement
	5 Proposed Work
		5.1 Research Methodology Tools and Techniques
	6 Conclusion
	References
13 Analysis on Interaction of Machine Learning with BlockChain
	1 Introduction
	2 Literature Survey
		2.1 Data
		2.2 Machine Learning
		2.3 Blockchain Technology
		2.4 Interaction of Blockchain Technology and Machine Learning
	3 Conclusion
	4 Future Work
	References
14 Frequency Response Masking Based Reconfigurable Filter Bank for Hearing Aids
	1 Introduction
	2 Reconfigurable Filter Bank for Hearing Aid Application
	3 Proposed Frequency Response Masking (FRM) Based Reconfigurable Filter Design
	4 Results and Discussion
	5 Conclusion
	References
15 Stereo Audio Amplifier Board Using TDA2822
	1 Introduction
	2 Literature Survey
	3 Circuit Design
	4 Conclusion
	References
16 CAN Protocol-Based Modeling of Vehicle Comfort System
	1 Introduction
	2 Literature Survey
		2.1 Literature Survey
		2.2 Controlled Area Network (CAN)
		2.3 CAN Standard Frame Format
	3 Methodology
		3.1 Block Diagram of System
		3.2 MATLAB Base Model
		3.3 Target Model of System
		3.4 Creating CAN Database
		3.5 Testing Using MATLAB
	4 Results
	5 Conclusion
	References
17 Use of Blockchain for Securing Electronic Health Records During COVID-19 Pandemic
	1 Introduction
		1.1 Electronic Health Records
		1.2 COVID-19
		1.3 Mode of Spreading
		1.4 Types Coronaviruses
		1.5 Signs and Symptoms
		1.6 Causes of COVID
	2 Blockchain
		2.1 Management of Clinical Trial Data
		2.2 Necessary Medicine and COVID-19 Vaccine Supply Chain
		2.3 Tracing of Contact
		2.4 Aggregation of Data
		2.5 Privacy of User Data
		2.6 Early Discovery of a Susceptible Population
	3 Summary and Discussion
	4 Conclusion
	References
18 Secure Hybrid Approach for Sharing Data Securely in VANET
	1 Introduction
	2 Research Method
	3 Malicious Activity Detection
	4 Simulation and Results
	5 Conclusion
	References
Part IV Machine Intelligence
19 MetaEfficientNet: A Few-Shot Learning Approach for Lung Disease Classification
	1 Introduction
	2 Related Study
		2.1 Transfer Learning
		2.2 Meta-Learning
		2.3 One-Shot and Few-Shot
		2.4 Siamese Neural Network
	3 Proposed System
		3.1 Data Acquisition
		3.2 Siamese Neural Network Using Pre-Trained Models
	4 Methods
		4.1 Algorithm for Training
		4.2 Evaluation Metrics
	5 Experimentation and Results
		5.1 Preprocessing
		5.2 Training
		5.3 3-Way-8-Shot Learning Testing with MetaEfficientNet
	6 Conclusion
	References
20 Application of Deep Machine Learning Techniques in Oil Production Forecasting
	1 Introduction
	2 Methodology
		2.1 Conventional Tool Analysis by Decline Curve
		2.2 RNN—Recurrent Neural Network
		2.3 CNN—Convolutional Neural Network
		2.4 LSTM—Long Short-Term Memory
	3 Well Production Description
	4 Result and Discussion
		4.1 Production Forecasting using RNN
		4.2 Production Forecasting by RNN and LSTM
		4.3 Production Forecasting using CNN
		4.4 MSE Error Calculation
		4.5 Comparison of Decline Curves with CNN
		4.6 Time Taken by Each Algorithm to Complete the Process
	5 Conclusion
	References
21 Predictive Analytics Model of an Engineering and Technology Campus Placement
	1 Introduction
	2 Related Work
	3 Research Methodology
		3.1 Algorithms Used
	4 Steps in Building Predictive Models Using ML
	5 About the Dataset
	6 Feature Engineering
	7 Feature Selection
	8 Experimentation
	9 Result and Discussion
	10 Implementation
		10.1 A Free Guide to Notify the Campus Placement Status (FGNCPS)
	11 Conclusion
	References
22 A Machine Learning Approach to Select Production Tubing Size for Oil Wells
	1 Introduction
	2 Methodology
		2.1 Multilayer Perceptron Model
		2.2 Random Forest Classification
		2.3 Support Vector Classification
		2.4 K-Nearest Neighbor (KNN)
		2.5 Naive Bayes Classification
	3 Data Acquisition and PreProcessing
	4 Result and Discussion
	5 Conclusion
	References
23 Source Code Summarization & Categorization of Python and R Codes Using Deep Learning Technique
	1 Introduction
	2 Related Work
	3 Source Code Summarization Methodologies
	4 Source Code Summarization
	5 General architecture of LSTM cell
	6 Attention Architecture
	7 Proposed source code summarization architecture
		7.1 Source code classification
		7.2 Dataset Preparation
		7.3 Training Details
	8 Evaluation
	9 Conclusion
	References
24 An Analytical Survey on Heart Attack Prediction Techniques Based on Machine Learning and IoT
	1 Introduction
	2 Literature Survey
	3 Comparative Study of the Various Techniques
		3.1 Classification
		3.2 Cluster
		3.3 Feature Selection
		3.4 Association Rule
	4 Vector Quantization Using Random Forest
	5 Artificial Neural Network
	6 Chi Score Calculation
	7 Internet of Things (IoT)
	8 Under Sampling—Clustering—Oversampling (UCO) Algorithm
	9 Binary Classification Model
	10 Hybrid Model (DT + RFA)
	11 Conclusion
	References
25 IoT-Based Intelligent Inhaler System with Temperature, Oximetry Measurement, and Emergency Functionality
	1 Introduction
	2 Literature Review
	3 System Overview and Objectives
		3.1 Objectives
	4 System Design and Methodology
	5 Future Scope
	6 Conclusion
	References
Author Index