Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022 (Artificial Intelligence-Enhanced Software and Systems Engineering, 1)

✍ Scribed by Swagatam Das; Mihir Narayan Mohanty; Mitrabinda Ray; Bichitrananda Patra

• Tongue: English
• Leaves: 368
• Category: Library

✦ Table of Contents

Preface
Contents
Performance Analysis of Heuristic Optimization Algorithms for Transportation Problem
1 Introduction
2 Mathematical Model of TP
3 Optimization Algorithms
3.1 PSO
3.2 APSO
3.3 NQPSO
4 Steps of Optimization
5 Performance Evaluation of the Algorithms
5.1 Convergence
5.2 Optimization Value
5.3 Accuracy
6 Conclusion
References
Source Code Features Based Branch Coverage Prediction Using Ensemble Technique
1 Introduction
2 Related Works
3 Proposed Approach
4 Implementation and Result Analysis
4.1 Result Analysis
4.2 Feature Analysis
5 Comparison with Related Work
6 Conclusions and Future Work
References
Implicit Methods of Multi-factor Authentication
1 Introduction
2 Related Work
3 Problem Statement
4 Implicit Methods of Multifactor Authentication
4.1 Mouse Events as Passcode
4.2 Image as Passcode
4.3 Patterned OTP
5 Implementation
5.1 Mouse Events as Passcode
5.2 Image as Passcode
5.3 Patterned Based OTP
6 Experimental Results
6.1 Mouse Events as Passcode
6.2 Image as Passcode
6.3 Pattern Based OTP
7 Analysis
7.1 Usability
7.2 Security and Privacy
8 Conclusion
References
Comparative Analysis of Different Classifiers Using Machine Learning Algorithm for Diabetes Mellitus
1 Introduction
2 Related Work
2.1 Control Mechanism Process for Diabetes Mellitus
2.2 Focus on Digital System
2.3 Medication
2.4 Diabetes Services
2.5 Psychological Issues and Tensity
3 Methodology
3.1 Data Gathering
3.2 Data Prediction
3.3 Implementation of Classifier for Evaluation of Accuracy
4 Proposed Architecture
5 Logistic Regression
6 K-Nearest Neighbors Algorithms (K-NN)
7 CART (Classification and Regression Tree)
8 Conclusion
References
Survey on Machine Learning Techniques for Software Reliability Accuracy Prediction
1 Introduction
2 Research Methodology and Contribution
3 Reliability Measurement Methods and Process
4 Related Work
5 Motivations and Objectives
5.1 Motivation
5.2 Objective
6 Methodology
6.1 Axes of Quality Evaluation
6.2 Technical Catalogue
7 Evaluation Criteria
8 Experiments and Results
8.1 Defect Prediction
9 Conclusion
References
Classification of Pest in Tomato Plants Using CNN
1 Introduction
2 Materials and Methods
2.1 Sample Collection
2.2 Hardware Setup
2.3 Software Setup
2.4 Image Processing
2.5 Design and Setup of Data and CNN Architecture
3 Results and Discussion
3.1 Comparison with Existing Works
3.2 Limitations
4 Conclusions
References
Deep Neural Network Approach for Identifying Good Answers in Community Platforms
1 Introduction
2 Ranking and Tagging of Quality Answers in CQA
2.1 Tagging Answers in CQA Using Ensemble Deep Learning Model
3 Results and Discussion
4 Conclusion and Future Direction
References
Time Series Analysis of SAR-Cov-2 Virus in India Using Facebook’s Prophet
1 Introduction
2 Methodology
2.1 Data Collection
2.2 Testing
2.3 Data Visualization
2.4 Comparison
2.5 Facebook’s Prophet
3 Conclusion and Future Work
References
Model-Based Smoke Testing Approach of Service Oriented Architecture (SOA)
1 Introduction
2 Related Works on ERP
3 Overview of SOA Testing and Smoke Testing
3.1 The Importance of SOA
3.2 Challenges in SOA Testing
3.3 Smoke Testing
4 Case Study: Enterprise Resource Planning (ERP)
5 Conclusion
References
Role of Hybrid Evolutionary Approaches for Feature Selection in Classification: A Review
1 Introduction
2 Background
2.1 Searching Techniques
2.2 Criteria for Evaluation
2.3 Number of Objectives
3 Systematic Literature Review
3.1 Thawkar et al. (2021) [30]
3.2 Hussain et al. (2021) [32]
3.3 Wajih et al. (2021) [33]
3.4 Bindu et al. (2020) [3]
3.5 Bhattacharyya et al. (2020) [6]
3.6 Alweshah et al. (2020) [7]
3.7 Meera et al. (2020) [8]
3.8 Neggaz et al. (2020) [9]
3.9 Hans et al. (2020) [29]
3.10 Khamees et al. (2020) [37]
4 Analysis
5 Conclusion
References
Evaluation of Deep Learning Models for Detecting Breast Cancer Using Mammograms
1 Introduction
2 Literature Review
3 Proposed Methods
4 Simulation Environment
5 Experimental Results
6 Conclusion
References
Evaluation of Crop Yield Prediction Using Arsenal and Ensemble Machine Learning Algorithms
1 Introduction
2 Literature Review
3 Methodology
3.1 Basic Terminologies
4 Module Description
4.1 Module 1 - Data Acquisition
4.2 Module 2 - Exploratory Data Analysis
4.3 Module 3 - Preprocessing
4.4 Module 4 - Model Evaluation
5 GUI Application
5.1 Application Functionality
6 Results and Discussion
7 Conclusion and Future Scope
References
Notification Based Multichannel MAC (NM-MAC) Protocol for Wireless Body Area Network
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data Type Organisation
3.2 Notification Based Multichannel MAC Protocol
4 Simulation Results
5 Conclusion and Future Scope
References
A Multi Brain Tumor Classification Using a Deep Reinforcement Learning Model
1 Introduction
1.1 Brain Tumor
1.2 Glioma Tumor
1.3 Meningioma Tumor
1.4 Pituitary Tumors
1.5 Dataset
2 Related Work
3 Proposed Model
3.1 Convolution Neural Networks
3.2 Reinforcement Learning
3.3 Deep Q-Learning
3.4 Confusion Matrix
4 Experimental Results
5 Conclusion
References
A Brief Analysis on Security in Healthcare Data Using Blockchain
1 Introduction
2 Overview of Blockchain
2.1 Properties of Blockchain
2.2 Types of Blockchain
2.3 Blockchain in Healthcare
3 Related Work
4 Discussion
5 Conclusion and Future Scope
References
A Review on Test Case Selection, Prioritization and Minimization in Regression Testing
1 Introduction
2 Basic Concepts
2.1 Regression Testing
2.2 Effectiveness of Prioritized Test
3 Related Work
4 Conclusion and Future Scope
References
Artificial Intelligence Advancement in Pandemic Era
1 Introduction
2 Artificial Intelligence
2.1 Artificial Intelligence Role in the Treatment of COVID-19
2.2 Artificial Intelligence as a Catalyst for the Exchange of Information
2.3 Role of Artificial Intelligence as an Observer and Predictor in the Pandemic Evolution
2.4 Healthcare Personnel Assistance with Artificial Intelligence
3 AI and ML to Combat Covid-19
3.1 Developing Novel COVID-19 Antibody Sequences for the use in Experimental Testing Using the Machine Learning
3.2 CT Scan Checks with AI for COVID-19
3.3 AI as an Aid in the Transmission of COVID-19
4 Conclusion
References
Predictive Technique for Identification of Diabetes Using Machine Learning
1 Introduction
2 Literature Review
3 Prediction of Healthcare Data Using AI and ML
4 Results
5 Conclusion
References
Prognosis of Prostate Cancer Using Machine Learning
1 Introduction
1.1 Correlation Between Machine Learning and Healthcare Databases
2 Literature Review
3 Outline of Research
4 Result
4.1 The Yearly Incidence Rate and the Mortality Rate of Prostate Cancer.
4.2 The Age-Based Incidence Rate and Mortality Rate of Prostate Cancer
5 Conclusion
References
Sign Language Detection Using Tensorflow Object Detection
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Collection
3.2 Labelling Images
3.3 TF Record Generation
3.4 Creating Model Configuration File
3.5 Training Model
4 Result and Discussion
5 Conclusion
References
Automated Test Case Prioritization Using Machine Learning
1 Introduction
2 System Overview
3 Literature Survey and Problem Definition
4 Proposed Solution
5 Result and Future Scope
6 Conclusion
References
A New Approach to Solve Linear Fuzzy Stochastic Differential Equation
1 Introduction
2 Basic Preliminaries
2.1 Stochastic Differential Equation [7]
2.2 Linear Stochastic Differential Equation [7]
2.3 Brownian Motion (BM) [7]
2.4 Fuzzy Brownian Motion (FBM) [9]
2.5 Fuzzy Ito Formula (FIF) [9]
2.6 Stochastic Process (SP) [7]
2.7 Fuzzy Stochastic Process (FSP) [9]
2.8 Adapted Process [7]
2.9 Fuzzy Ito Product [9]
3 Linear Fuzzy Stochastic Differential Equation (LFSDE)
4 Conclusion
References
An Improved Software Reliability Prediction Model by Using Feature Selection and Extreme Learning Machine
1 Introduction
2 Related Work
3 Methodology
3.1 Collection of Data
3.2 Preparation of Data
3.3 Feature Selection
3.4 Training the ELM Classifier
3.5 Testing and Calculation of Accuracy
4 Results and Analysis
5 Conclusion
References
Signal Processing Approaches for Encoded Protein Sequences in Gynecological Cancer Hotspot Prediction: A Review
1 Introduction
2 Materials and Methods
2.1 Hotspot Prediction in Proteins
2.2 Hotspot Prediction in Cancer Cells
3 Conclusions
References
DepNet: Deep Neural Network Based Model for Estimating the Crowd Count
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Density-Estimation Based Approach
3.2 Neural Net Architecture
3.3 Data Augmentation
3.4 Training Details
3.5 Result and Evaluation
4 Conclusion
References
Dynamic Stability Enhancement of Power System by Sailfish Algorithm Tuned Fractional SSSC Control Action
1 Introduction
2 Power System with SSSC
3 Proposed Controller
4 Objective Function
5 Sailfish Algorithm (SFA)
6 Result and Discussion
7 Conclusion
References
Application of Machine Learning Model Based Techniques for Prediction of Heart Diseases
1 Introduction
2 Related Work
3 Proposed Work and Methodology
4 Problem-Solving Method
5 Results Analysis and Discussion
6 Conclusion and Future Work
References
Software Effort and Duration Estimation Using SVM and Logistic Regression
1 Introduction
2 Objective
3 Challenges
4 Proposed System
5 Literature Survey
6 System Design
6.1 Data Set
6.2 Architecture
6.3 Machine Learning Algorithms
6.4 Performance Metrics
7 Implementation
7.1 Data Preprocessing
7.2 COCOMO Model for Effort and Duration
7.3 Classifier SVC
7.4 Logistic Regression
8 Results and Discussion
9 Conclusion
References
A Framework for Ranking Cloud Services Based on an Integrated BWM-Entropy-TOPSIS Method
1 Introduction
2 Related Works
3 Proposed Cloud Service Selection Framework
4 Cloud Service Selection Methodology
5 A Case Study with Experiment
5.1 Experiments
6 Concluding Remarks
References
An Efficient and Delay-Aware Path Construction Approach Using Mobile Sink in Wireless Sensor Network
1 Introduction
2 Related Work
3 Preliminaries
3.1 Network Model
3.2 Energy Model
3.3 Problem Description
4 Proposed Algorithm
4.1 Generation of Virtual Path
4.2 Network Division and RP Generation
5 Simulation Results
5.1 Simulation Setup
5.2 Results and Discussion
6 Conclusion
References
Application of Different Control Techniques of Multi-area Power Systems
1 Introduction
2 Materials and Methods
2.1 System Examined
2.2 Controller Structure and Objective Function
2.3 Firefly Technique
3 Results and Discussions
4 Conclusion
References
Analysis of an Ensemble Model for Network Intrusion Detection
1 Introduction
2 Literature Survey
3 Implementation
3.1 KDD Dataset
3.2 Data Load and Pre-processing
3.3 Exploratory Data Analysis
3.4 Standardization of Numerical Attributes
3.5 Encoding Categorical Attributes
3.6 Data Sampling
3.7 Feature Selection
3.8 Data Partition
3.9 Train Models
3.10 Evaluate Models
4 Results and Discussions
5 Conclusion
6 Future Scope
References
D2D Resource Allocation for Joint Power Control in Heterogeneous Cellular Networks
1 Introduction
2 System Model and Problem Statement
2.1 System Model
2.2 Problem Statement
3 Resource Allocation Algorithm for Joint Power Control
3.1 Power Control
3.2 Power Control
3.3 Search and Exchange Algorithm
4 Simulation and Results
4.1 Search and Exchange Algorithm
4.2 Results
5 Conclusion
References
Prediction of Covid-19 Cases in Kerala Based on Meteorological Parameters Using BiLSTM Technique
1 Introduction
2 Literature Review
3 Methodology
3.1 Data for Model Development
3.2 Modeling Framework
3.3 LSTM – Long Short Term Memory
3.4 Bi LSTM - Bidirectional Long Short Term Memory
3.5 Evaluation of Bi-lSTM
4 Results
5 Conclusion
References
Monitoring COVID-Related Face Mask Protocol Using ResNet DNN
1 Introduction
2 ResNet-50 Based Method
3 Methodology
4 Experimental Results
5 Conclusion
References
Author Index