Proceedings of Second International Conference on Sustainable Expert Systems: ICSES 2021 (Lecture Notes in Networks and Systems, 351)

This book features high-quality research papers presented at the 2nd International Conference on Sustainable Expert Systems (ICSES 2021), held in Nepal during September 17–18, 2021. The book focusses on the research information related to artificial intelligence, sustainability, and expert systems applied in almost all the areas of industries, government sectors, and educational institutions worldwide. The main thrust of the book is to publish the conference papers that deal with the design, implementation, development, testing, and management of intelligent and sustainable expert systems and also to provide both theoretical and practical guidelines for the deployment of these systems. Preface Acknowledgements About the Conference Contents Editors and Contributors E-Learning-Based Collaborative Learning Experience in the Education Paradigm 1 Background 2 Introduction 3 Role of SMART Board in the Education Sector 3.1 Promoting Student Engagement 3.2 Improving Motivation 3.3 Mediation and Sharing Knowledge 4 Applications of SMART Board 5 Virtual Smart Classroom Solutions—During a Pandemic 6 Good Tech Capabilities and High Education Outcomes Go Together 7 Conclusion References Using Clean Architecture Principles to Improve the Design and Implementation of the Mobiles Online Platform 1 Introduction 2 Approaches and Methodologies When Creating Software Applications 3 Clean Architecture 4 Algorithm of Action of Mobiles Online 5 Implementation of Mobiles Online with Clean Architecture 6 Conclusion References Detection of Arrhythmia Using Convolutional Neural Networks 1 Introduction 2 Literature Survey 3 Dataset 4 Data Preprocessing 5 Proposed System 6 Classification Techniques 6.1 CNN 7 Regularisation Techniques 7.1 Batch Normalisation 7.2 Dropout 8 Result Analysis 9 Conclusion References The Hybrid Vision Transformer Approach for Hyperpigmentation Nail Disease Detection 1 Introduction 2 Literature Review 3 Data Collection 4 Methodology 4.1 Proposed Vision Transformer Approach 5 Result and Discussion 5.1 Limitation of ViT 6 Conclusion References COVID-19 Fake News Detection Using GloVe and Bi-LSTM 1 Introduction 2 Literature Survey 3 Dataset Description 4 Proposed Method 4.1 Preprocessing 4.2 Word Embeddings 4.3 RNN 4.4 LSTM 4.5 Bi-LSTM 4.6 Dropout 5 Results and Discussion 6 Conclusion and Future Scope References Combinatorial Test Perspective on Test Design of SDN Controllers 1 Introduction 2 Software Defined Networks 2.1 SDN Controllers 2.2 OpenDaylight (ODL) Platform 2.3 Testing OpenDaylight 2.4 Test Environment of ODL 2.5 Test Frameworks in ODL 2.6 Software Associated with ODL Testing 3 Combinatorial Testing 3.1 Test Case Generation 3.2 Test Case Execution 3.3 Combinatorial Interaction Regression Testing 3.4 Fault Localization 3.5 Fault Localization in Combinatorial Testing 4 Conclusion References Technologies Driving Digital Payments in India: Present and Future 1 Introduction 2 Review of Literature 3 Methods and Materials 4 Growth of Digital Payments and Technologies Employed 4.1 Soundwave Technology: Need and Experiments in India 5 Conclusion References Performance Study of Data Fusion Using Kalman Filter and Learning Vector Quantization 1 Introduction 2 Methodology 2.1 Kalman Filter Algorithm 2.2 Linear Vector Quantization Techniques 3 Results 4 Conclusion References Unveiling the Security Vulnerabilities in Android Operating System 1 Introduction 2 Related Works 3 Vulnerability Analysis 4 Feature Extraction 5 Vulnerability Detection 6 Conclusion and Future work References A Novel Efficient Energy and Delay Balance Ensemble Scheduling Algorithm for Wireless Sensor Networks 1 Introduction 2 BFS and CCDS Scheduling 2.1 BSF Scheduling 2.2 Colored Connected Dominant Set (CCDS) Scheduling 2.3 Construction 2.4 Maximum Independent Set (MIS) 2.5 Connected Dominated Set (CDS) 3 Related Work 4 The Proposed Novel Sleep Scheduling Model 5 Methodology 6 Experiment 7 Results and Discussion 8 Conclusion References Bitcoin Price Prediction Using Machine Learning’s Boosting Algorithms 1 Introduction 1.1 Prediction 1.2 Bitcoin 1.3 Objective 2 Literature Review 3 Preprocessing and Implementation 4 Boosting Algorithms 4.1 Gradient Boosting (GBM) 4.2 Extreme Gradient Boosting (XGBM) 4.3 LightGBM 4.4 CatBoost 5 Results 6 Conclusion 7 Future Scope References Anthropometric Measurement Technology Using 2D Images 1 Introduction 2 Related Work 2.1 Image Segmentation 2.2 Feature Extraction Using Chain Code 3 Proposed System 3.1 Semantic Segmentation 3.2 Feature Extraction 3.3 JSON Values Mapping 3.4 Size Calculation 3.5 Error and Performance Considerations 4 Implementation and Results 4.1 Dataset 4.2 Implementation Details 4.3 Results 5 Conclusion References A Novel Approach for Sentiment Classification by Using Convolutional Neural Network 1 Introduction 2 Background on Sentiment Classification 3 CNN and Word Embedding Techniques 4 Experiment and Analysis 4.1 Dataset 4.2 Preprocessing 4.3 Word Embedding 4.4 Embedding Layer 4.5 Result Analysis 5 Conclusion and Future Work References Automatic Speech Recognition of Bengali Using Kaldi 1 Introduction 2 Literature Review 3 Proposed Approach 3.1 Deep Learning-Based G2P for Bengali 4 Experimental Setup 4.1 Dataset 4.2 System Architecture 4.3 Data Preparation 4.4 Feature Extraction 4.5 Deep Neural Network Architecture 5 Result Analysis 6 Conclusion References Prediction of Priority to Individual for COVID Vaccine Distribution Using Soft Computing Techniques 1 Introduction 2 Related Work 3 Proposed System Design 3.1 Modules 4 Implementation Results and Analysis 5 Conclusion and Future Enhancements References An Experimental Evaluation of Load Balancing Policies Using Cloud Analyst 1 Introduction 2 Virtualization 3 Load Balancing 4 Literature Review 5 Proposed Work 5.1 Round Robin (RR) Algorithm 5.2 Equally Spread Current Execution (ESCE) Algorithm 5.3 Throttled Load Balancing (TLB) Algorithm 6 Experimental Results and Analysis 7 Conclusion References Classification of Ovarian Cyst Using Regularized Convolution Neural Network with Data Augmentation Techniques 1 Introduction 2 Related Works 2.1 Dataset Description 3 Methodology 3.1 CNN Model 3.2 CNN with Droplet Regularization 3.3 Data Augmentation Technique for Overfitting 4 Result and Discussion 5 Conclusion References Generating Game Indefinite Decision Tree in the Banking Sector Using Different Types of Algorithms 1 Introduction 2 Literature Review 3 An Overview of Game Theory 3.1 Game Theory in the Fuzzy Decision Tree 3.2 Processes Involved in GIDT 3.3 Definition of the Problem 3.4 Proposed Framework 4 Modelling of Indefinite Decision Tree 5 Types of Algorithm 5.1 Brute Force Algorithm 5.2 Next-Door Neighbour Algorithm (NNA) 5.3 Repeated Nearest Neighbour Algorithm (RNNA) 6 Applications 7 Conclusion References Detection of Pneumonia Using Convolution Neural Networks 1 Introduction 2 Related Work 3 Proposed Work Methodology 4 Feature-Extraction Techniques 5 Result Analysis 6 Conclusion and Future Scope 7 Limitations References Blockchain Technology in Health Care Sector: An Experimental Approach 1 Introduction 2 Related Works 3 Proposed Methodology 4 Result and Discussions 5 Conclusion References Data Security Framework Using Block Chain Technology 1 Introduction 2 Literature Review 3 Proposed System 4 Methodology 5 Testing 5.1 System Testing 6 Conclusion References Disease Detection Based on Human Eye Images and Analysis Using Multi-agent Systems with SPADE 1 Introduction 2 Literature Study 3 Methodology 3.1 Database Used for Experiment on Identification 3.2 Segmentation of Sclera Region 3.3 Classification of Illness Based on Scleral Features 3.4 Classifications of Disease Severity Based on Symptoms of the Human Eye 4 Results 5 Conclusion References Distributed Data Balancing on Multi Base Station Wireless Network to Solve the Routing Complexity Issues 1 Introduction 2 Literature Survey 3 Methodolgy 4 Proposed System 5 Testing 6 Conclusion References RPBK21 Technique Used to Secure the Data 1 Introduction 2 Methods 2.1 Encryption 2.2 Decryption 3 Result and Discussion 4 Conclusion References Classification of Extreme Reviews from Online Products Using RNN Model 1 Introduction 2 Literature Survey 3 Proposed System 4 Results and Discussion 5 Conclusion References A Novel Text-to-Speech Synthesis System Using Syllable-Based HMM for Tamil Language 1 Introduction 1.1 Text Analysis 2 Related Works 3 Proposed Methodology 3.1 Syllable-Based N-gram Model 3.2 HMM Speech Synthesis 4 Results 5 Conclusion References SOA-Based Middleware Framework for IoT Applications 1 Introduction 2 Literature Review 3 Proposed Methodology 4 Design Methodology 4.1 Problem Definition 4.2 Flowchart 4.3 Algorithm 4.4 Dataset 4.5 Methodology 5 Advantages 6 Results 7 Conclusion References The Future Warfare with Multidomain Applications of Artificial Intelligence: Research Perspective 1 Introduction 2 Military Applications 3 Applications in Navy 4 Application in Air Force 5 Research Challenges 6 Conclusion References Evaluation of Various Classifier Models to Predict the Cardiovascular Disease 1 Introduction 2 Evaluation of Various Classifier Model 3 Proposed Optimised Neural Network 4 Performance Metrics 5 Confusion Matrix 6 Performance Analysis with Related Work 6.1 Naïve Bayes (NB) 7 Support Vector Machine 8 Neural Networks (NN) 9 Adaptive Neuro-fuzzy Inference System 10 Result and Discussion 11 Conclusion References Blockchain Advancement for a Safe and Transparent COVID-19 Vaccination 1 Introduction 2 Main Contributors of the Platform 3 Results that Are Considered 3.1 Tracking of the Vaccination Distribution 4 Open Hardships 5 In Situations Where IoT Devices Cannot Be Employed, We Should Be Vulnerable to the performer’s Good Lead. CONCLUSION References Learning Conversational Stance from Multiple Views of Social Graph Using Multitask and Other Approaches 1 Introduction 2 Existing Work 2.1 Multitask Learning 2.2 Multi-view Learning 2.3 Combining Multi-view and Multitask Learning 2.4 Graph Representation Learning 2.5 Stance Detection 3 Dataset and Pre-processing 3.1 Dataset 3.2 Pre-processing to Construct Views of User Conversation Graph 4 Methodology 5 Results and Discussion 6 Conclusion and Future Work References Facial Emotion Recognition Using ML Algorithms 1 Introduction 2 Proposed System 3 Implementation 3.1 Architecture 3.2 Dataset 3.3 Convolutional Neural Network (CNN) 3.4 Haar Cascade Classifier Algorithm 3.5 Results and Discussions 4 Conclusion 5 Applications and Future Scope References Green Initiative Low-Cost Electric Vehicle 1 Introduction 2 Characteristics and Models of Energy Sources for PEVs 3 Problem Solving and Challenges 4 Working Technology 5 Results 6 Conclusion References Vision Transformer Framework Approach for Yellow Nail Syndrome Disease Identification 1 Introduction 2 Literature Review 3 Dataset 4 Methodology 4.1 Convolutional Neural Network (CNN) 4.2 Ensemble Methods 4.3 Logistic Regression 5 Convolutional Neural Network (CNN) 6 Proposed Vision Transformer Approach 7 Results and Discussion 8 Conclusion References An Efficient Fuzzy Logic Cluster Formation Protocol for Data Aggregation and Data Reporting in Cluster-Based Mobile Crowdsourcing 1 Introduction 1.1 Structure of the System 1.2 Various Challenges in MCS 2 Related Work 3 Proposed Approach 3.1 Cluster Formation 3.2 Protocol Objective 4 Query Optimization in CMCS 4.1 Various Query Languages 4.2 CS Executor 4.3 Performance Metric in Query Optimization 5 Experimental Analysis 6 Conclusion References Utilization of Adaptive K-Harmonic Means Clustering and Trust Establishment in VANETs 1 Introduction 2 Related Work 3 Materials and Methods 3.1 AKHM Algorithm for VANET 3.2 Trust Establishment 4 Results and Discussion 5 Conclusion References Design and Development of Blockchain-Based Security and Privacy-Preserving System 1 Introduction 2 Related Works 3 Proposed Work 3.1 Working of Proposed System 4 Implementation of Proposed System 4.1 Registration 4.2 Smart Contract Creation 4.3 Block Creation 4.4 Privacy-Preserving 5 Result and Discussion 6 Conclusion References PSO- and GA-Based Hybrid Algorithm for Feature Selection 1 Introduction 2 Literature Survey 3 Related Work 4 Proposed Method 5 Design of Experiment 6 Analysis and Results 6.1 Comparison 7 Conclusion References System for Verification Using Blockchain: Demonstration of PAN Cards, and College Transcripts Verification 1 Introduction 1.1 Background 1.2 Motivation 1.3 Objective 1.4 Blockchain Technology 2 Literature Review 3 Problem Definition 4 Research Methodology 4.1 Use Case 4.2 Architecture 4.3 Data Flow Diagram 5 Prototype 5.1 Blockchain Environment 5.2 Smart Contract 5.3 Web App 6 Results and Discussion 6.1 Results 7 Conclusion References A Review on Data Hiding Mechanism for Enhancing Embedding Capacity 1 Introduction 2 Literature Review 3 Research Issues 4 Existing Methodologies and Analysis 4.1 Joint Method 4.2 XOR Operation 4.3 Side Match Techniques 4.4 Histogram Shifting 5 Scope 6 Methodology 7 Conclusion References Deep Convolutional Neural Network for Brain Tumor and Skin Cancer Detection Over Traditional Neural Networks 1 Introduction 2 Related Work 3 Proposed Work 3.1 About Dataset 3.2 About Model 3.3 Algorithm 3.4 Model Architecture 4 Experiment and Results 5 Conclusion References Design and Development of the Efficient RF Energy Harvesting System 1 Introduction 2 Energy Efficient RF Harvesting System 3 Proposed RF Energy Harvesting System—R-Ger 4 Measurement of RF Energy Harvesting System for the Optimized Design 5 Conclusion References A Combined K-Mean Semantic Approach for the Implicit Document Clustering 1 Introduction 2 Partitional Clustering Algorithms 3 System Analysis 3.1 Existing System 3.2 Proposed System 4 Methodology 5 Overview of the Process 5.1 PSO Algorithm 5.2 K-Mean Algorithm 6 System Design 6.1 System Architecture 6.2 Datasets 6.3 Pre-processing 6.4 Semantic-Based Document Mining 6.5 Particle Swarm Optimization 6.6 K-Mean Clustering 7 Conclusion References Diagnosis of COVID-19 from Chest X-rays Using CNN and Determination of Its Severity by Text Analysis 1 Introduction 2 Related Work 3 Methodology 3.1 Phase 1 3.2 Phase 2 3.3 Phase 3 3.4 Phase 4 4 Results 5 Conclusion and Future Work References Safe Encryption Algorithm for Secured Message Communication Using Dcombo: A New Sorting Technique 1 Introduction 2 Existing Techniques 2.1 Algorithms for Encryption 3 Related Work 4 Proposed Methodology 4.1 DCombo Sorting Technique 4.2 Example 4.3 The New Sorting Technique Compares with Bubble Sort Method 4.4 Performance Analysis on DCombo Sorting Technique 5 Encryption Process 5.1 Working Principle of Encryption 6 Decryption Process 6.1 Working Principle of Decryption 7 Case Study of Encryption Process and Decryption Process 8 Simulation and Experimental Results 9 Conclusion References Domain Text Classification Using Machine Learning Models 1 Introduction 2 Review of Previous Work 3 Methodology 3.1 Naive Bayes 3.2 Support Vector Machines 3.3 Decision Trees 3.4 Random Forest Classifier 4 Result 5 Discussions 6 Conclusion and Future Enhancement References Named Entity Recognition Using Stanford Classes and NLTK 1 Introduction 2 Related Works 3 Proposed Methodolgy 3.1 Basic NLTK Algorithm 3.2 Named Entity Recognition with Stanford NER Tagger and NLTK 3.3 Implementation and Setup 3.4 Algorithm 4 Results and Disussion 4.1 Accuracy Classification 4.2 Confusion Matrix 5 Conclusion 6 Future Enhancements References Enhancing the Quality of Service in MANET Based Optimization on Routing Protocol 1 Introduction 2 Related Works 3 Proposed System 3.1 Clustering Based on SFLA with K-means 3.2 EE Clustering-Load Balancing Using SFLA 3.3 Shuffled Frog-Leaping Algorithm (SFLA) 3.4 AODV Routing Protocol 4 Results and Discussion 5 Conclusion References Movie Recommendation Using User Based, Item Based and LDA Analysis 1 Introduction 2 Dataset Description 3 Literature Survey 4 Methodology 5 Result Analysis 6 Conclusion References Privacy Preservation Using Anonymity in Social Networks 1 Introduction 2 Related Work 2.1 IPFS 2.2 Trust Evaluation 2.3 Blockchain 3 Proposed Architecture 4 Results and Discussions References Comparison of Algorithms on Breast Cancer Detection in Developing Countries 1 Introduction 2 Review Work 3 Cancer Screening and Treatments 4 Proposed System 5 Requirements 6 Implementations 7 Result 8 Input–Output Analysis 9 Conclusion References An Approach for Building Content Recommendation System for Bilinguals 1 Introduction 2 Related Work 3 Dataset 4 Proposed Method 5 Analysis and Evaluation 6 Conclusion Appendix References Upper Bounds of Zagreb Radio Indices 1 Introduction 2 Basic Definitions 3 Bounds of the Primary Zagreb Radio Index 4 Bounds of the First Zagreb Radio Index 5 Bounds of the Second Zagreb Radio Index 6 Bounds of the Third Zagreb Radio Index 7 Conclusion References Interruption Detection for Detection and Quantification of QRS Fragmentation Based on Machine Learning and Deep Learning Technique 1 Introduction 2 Database 3 Methods 3.1 Preprocessing 3.2 QRS Segmentation 3.3 Feature Extraction 3.4 Detecting Intrusion While Receiving Data and Extracting Feature 3.5 DSSTE Algorithm 3.6 System Teach and Deep Teach Algorithms 3.7 Classification 4 Result and Discussion 5 Conclusion References Negative Domination in Networks 1 Introduction 2 Negative Homogeneous Signed Graph 3 Positive Homogeneous Signed Graph 4 The s-Domination in Sum Signed Graphs 5 Bounds of s 6 Conclusion References Analysis of IoT and Communication Technologies to Develop Waste Management Service Framework for Smart City 1 Introduction 2 Literature Survey 3 Novel SWM System Framework Design 3.1 Smart Bin 3.2 Smart Truck 3.3 Work Server 4 Spatial Technologies: Real Time GIS and GPS for SWM 4.1 Geographic Information System 4.2 Global Positioning System 5 IoT for SWM 5.1 RFID 5.2 Bar Code 5.3 GSM 5.4 WiFi 5.5 Sensors 6 Conclusion References Procedural Impact of Negotiations and Its Variations on Utilization of Resources in Cloud Environment 1 Introduction 2 Review of Literature 3 Problem Formulation 4 Methodology 5 Results 6 Conclusion References To Reduce the Water Wastage by Using Water Monitoring System in Cloud-Survey 1 Introduction 2 Related work 3 Water Monitoring Architecture (WMA) 4 Cloud Storage and Load Balancing 5 Conclusion References KRB02 Method Used to Secure the Generalized Data 1 Introduction 2 Methods 2.1 Encryption 3 Result and Discussion 4 Conclusion References Sentiment Analysis on Tweets Using Emojis to Help the Distressed 1 Introduction 1.1 Purpose 1.2 Objectives 1.3 Benefits 1.4 Goal 1.5 Novelty 2 Literature Survey 3 Procedure 3.1 Data Collection 3.2 Dataset Creation 3.3 Data Labelling 3.4 Emojize 3.5 CNN Accuracy Check on Images 3.6 Training: Sentiment Analysis on 11 k Tweets 3.7 Real-Time: Sentiment Analysis on Real-Time Tweets 3.8 Reply Within the Platform 4 Results and Discussions 4.1 Collection of Tweets 4.2 Emojize 4.3 CNN Accuracy Check on Images 4.4 CNN on Emojized Tweets 4.5 Top Emojis 4.6 Number of Emojis Classified by CNN 4.7 Word Cloud Representations 4.8 In-Platform Reply 5 Conclusions and Future Works 5.1 Conclusions 5.2 Future Works References Study and Comparision of “MIMO-OFDM” Under Acoustic Communication Systems 1 Introduction 2 Related Work 3 Discussions 4 Conclusion References Comparative Study of Robust Feature Extraction Techniques for ASR for Limited Resource Hindi Language 1 Introduction 2 Feature Extraction Techniques 2.1 Mel Frequency Cepstral Coefficient 2.2 Gammatone Frequency Cepstral Coefficients 2.3 Gammachirp Filterbank and BFCC 2.4 Perceptual Linear Prediction 2.5 Comparison of Feature Extraction Techniques 3 Proposed Architecture 3.1 GMM-HMM Model 3.2 Hybrid DNN-HMM 4 Experimental Setup and Results 5 Conclusion and Future Work References Creating Sustainable Human Resource Management Systems for High-Performance Work Culture 1 Introduction 2 Review of Related Literature 3 Findings and Discussion 4 Conclusion References Algorithms: Supervised Machine Learning Types and Their Application Domains 1 Introduction 1.1 Parametric and Non-parametric ML Algorithms 1.2 Common Machine Learning Terminologies 2 Literature Survey 3 Supervised Machine Learning Algorithms 3.1 Regression Algorithms 3.2 Decision Tree Algorithms 3.3 Bayesian Learning 3.4 Artificial Neural Networks 3.5 Deep Learning 3.6 Instance-Based Learning 4 Conclusion References A Review on Database and Transaction Models in Different Cloud Application Architectures 1 Introduction 2 Cloud Application Architecture 2.1 Monolithic Architecture 2.2 Service Oriented Architecture 2.3 Microservice 3 Database Models 3.1 RDBMS 3.2 NoSQL 3.3 NewSQL 4 Transaction Models in Cloud 4.1 ACID 4.2 CAP Theorem 4.3 BASE 5 Conclusion References Effective Design Approach of Yard Trimmer 1 Introduction 2 Proposed Design 3 Motor Characteristics 3.1 DC Motor 3.2 Torque 3.3 RPM 3.4 Shaft 4 Proposed Work 5 Results and Discussion 6 Future Work References A Comprehensive Assessment of Privacy Preserving Data Mining Techniques 1 Introduction 2 Privacy Threats 3 Privacy Preserving Data Mining Techniques Categorization Methods and Assessment Criteria 4 PPDM Techniques 5 Comparison Between Different Techniques 6 Conclusion References Mathematical Model for Handling Jamming Attacks in Wireless Sensor Networks 1 Introduction 2 Series Network 3 Mathematical Model 4 Assumptions 5 Algorithm 6 Applications 7 Justification of Proposed Model 8 Conclusion References Heart Disease Prediction Using Ensemble Model 1 Introduction 2 Review of Relevant Works 3 Supervised Machine Learning Models 4 Ensemble Model 5 Methodology 6 Results, Analysis and Comparison 6.1 Result from Logistic Regression 6.2 Result from Support Vector Machine 6.3 Result from Decision Tree 6.4 Result from KNN 6.5 Result from Gaussian Naive Bayes 6.6 Result from Ensemble Model 6.7 Comparison of Different Models 6.8 Making Prediction for Single Patient 7 Conclusions 8 Recommendations References IoT Technologies and Machine Learning Algorithms on Diabetes Prediction-Survey 1 Introduction 2 IOT Technologies for Diabetic Prediction 2.1 Blood Glucose Sensor 2.2 Pedometer 2.3 Temperature Sensor 2.4 Blood Pressure Sensor 2.5 Wearable Band 2.6 Smart Food Tray 3 Machine Learning Algorithms for Diabetes Prediction 3.1 Ensemble Algorithm 3.2 Random Forest 3.3 Support Vector Machines 3.4 K-Nearest Neighbors 3.5 Naïve Bayes 3.6 Logistic Regression 3.7 K-Means 3.8 Learning Vector Quantization (LVQ) 4 Conclusion References FIGSI—Facial Image Generation for Suspect Identification 1 Introduction 2 Related Work 3 Accomplishment of GAN 4 Method 5 User Interface 6 Experimentation 6.1 Data Preprocessing 6.2 Implementing GAN Architecture 6.3 Face Matching Module 7 Results 7.1 Comparison of Real and Generated Face 7.2 Performance Evaluation 7.3 Identifying Generated Face 8 Conclusion 9 Discussion References Review on Log-Based Anomaly Detection Techniques 1 Introduction 2 Challenges in Log-Based Anomaly Detection 2.1 Handling the Nature of Modern Systems 2.2 Burst in Volume of Logs 2.3 Deriving Relationships from Keywords 2.4 Unstructured Data 2.5 Availability of Dataset 2.6 Identifying Unprecedented Anomalies 2.7 Requirement of Domain Knowledge 3 Methodology for Log-Based Anomaly Detection 4 Literature Review 4.1 Machine Learning 4.2 Deep Learning 5 Datasets 6 Evaluation Metrics 7 Comparative Analysis 8 Conclusion References Author Index