Proceedings of Data Analytics and Management: ICDAM 2022

Description

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. ICDAM-2022 Steering Committee Members Preface Contents Editors and Contributors Penetration Testing in Application Using TestNG Tool 1 Introduction 2 Vulnerability Assessment and Penetration Testing (VAPT) 3 Role of OWASP and CERT in Network Security 4 Networking Attacks Types 5 Literature Survey 6 Types of Penetration Testing 6.1 Types of Penetration Testing 6.2 Web Application Penetration Tests 6.3 Wireless Network Penetration Testing 6.4 Client-Side Penetration Tests 6.5 Social Engineering Tests 6.6 Mobile Penetration Test 7 Methodology Adopted 8 Result 9 Conclusion and Future Work References Empirical Analysis of Psychological Well-Being of Students During the Pandemic with Rebooted Remote Learning Mode 1 Introduction 2 Related Work 3 Materials and Methods 3.1 Participants and C-19 MHQ 4 Empirical Analysis of Affective Mental State of Students 5 Results and Discussion 6 Conclusion References Handwritten Digit Recognition Using Machine Learning 1 Introduction 2 Related Work 3 Existing Model 3.1 K-Nearest Neighbor 3.2 Random Forest Classifier 3.3 Support Vector Machine 4 Proposed Model 4.1 Algorithm Suggested for Digit Detection 4.2 Algorithm Suggested for Digit Recognition Data Acquisition 4.3 Input Processing 4.4 Digit Classification and Decision Making 5 Implementation 5.1 Convolutional Neural Network Introduction 5.2 CNN Model 5.3 Digit Image Collection and Processing 6 Result 6.1 Data Processing 6.2 Building the Model 6.3 Compiling and Fitting/Training the Model 6.4 Evaluate the Model 6.5 Predictions 7 Conclusion References A Smart Movie Recommendation System Using Machine Learning Predictive Analysis 1 Introduction 1.1 Contribution 2 Related Works 3 Working Environment and Technology Used 4 Proposed Methodology 5 Implementation and Result 6 Conclusion and Future Work References A Strategy to Accelerate the Inference of a Complex Deep Neural Network 1 Introduction 2 Background and Related Works 3 Early Exit DNN Architecture 4 Training and Inference of Early Exit DNN 5 Methodology 6 Analysis of Early Exit DNN 7 Conclusion References Predicting Aramco’s IPO Long-Term Performance During COVID Times 1 Introduction 2 Methodology 3 Analysis 4 Conclusion References Development of a Transdisciplinary Role Concept for the Process Chain of Industrial Data Science 1 Introduction 2 Related Work 3 Role Concept 4 Platform for Learning and Collaboration for SME 5 Conclusion References Convolutional Neural Network-Based Lung Cancer Nodule Detection Based on Computer Tomography 1 Introduction 2 Proposed System 2.1 Data Description 2.2 Data Preprocessing 2.3 Down Sampling 2.4 Thresholding and Segmentation 2.5 Data Augmentation 2.6 Data Splitting 2.7 Model Selection 3 Results and Discussion 4 Conclusion References D-Test: Decentralized Application for Preventing Fake COVID-19 Test Certificate Scam by Blockchain 1 Introduction 2 Brief Literature Survey 3 Methodology 4 Results and Discussion 5 Conclusion and Future Work References A Novel QIA Protocol Based on Bell States Position by Random Selection 1 Introduction 2 Proposed Protocol 2.1 Initial Procedure 2.2 Quantum and Classical Procedure 3 Security of Proposed Protocols 3.1 Adversary Guesses Correct Bell Position 3.2 Adversary Guesses Incorrect Bell Position Choice 4 Comparison with Previous Protocols 5 Conclusion References Some Methods for Digital Image Forgery Detection and Localization 1 Introduction 2 Literature Review 3 Contributions 4 Future Research Direction 5 Conclusion References A Novel Approach to Visual Linguistics by Assessing Multi-level Language Substructures 1 Introduction 2 Related Work 2.1 Bilinear Models 2.2 Multimodal Approaches 2.3 Attention-Based Models 2.4 Solving Bias and Compositional Errors 2.5 Miscellaneous Models 3 Work Done 4 Conclusion 5 Future Work References Sentiment Analysis on Amazon Product Review: A Comparative Study 1 Introduction 2 Background and Literature Survey 2.1 Random Forest or Decision Tree 2.2 Linear SVC 2.3 Multinomial Naive Bayes 2.4 Logit or Logistic Regression 3 Proposed Approach 3.1 Preprocessing Techniques 4 Experimental Setup 5 Experimental Results 5.1 Comparison of Various Results Obtained by the Authors 5.2 Comparison of the Classifiers Implemented 5.3 Comparison of Our Proposed Machine Learning Classifiers 5.4 Performance of Classifiers on the Basis of Evaluation Measures Taken 6 Conclusion and Future Work References GAER-UWSN: Genetic Algorithm-Based Energy-Efficient Routing Protocols in Underwater Wireless Sensor Networks 1 Introduction 2 Related Work 3 System Model 4 Problem Description 4.1 Overview of Genetic Algorithm 4.2 GAER-UWSN Algorithm 5 Comparative Analysis and Simulation Results 6 Conclusion References Occlusion Reconstruction for Person Re-identification 1 Introduction 2 Related Work 2.1 Tradition Methods 2.2 Modern Methods 3 Proposed Work 4 Results 5 Conclusions References Analysis and Prediction of Purchase Intention of Online Customers with Deep Learning 1 Introduction 2 Related Work 3 Background 3.1 Dataset Used 3.2 Deep Learning 3.3 Tools Used 4 Methodology 4.1 Methodology Flow 4.2 Metrics 4.3 Clustering Analysis 5 Result 6 Conclusion and Future Work References Create and Develop a Management System for Cardiovascular Clinics 1 Introduction 2 Previous Studies 3 Proposed System 3.1 Welcome 3.2 Login 3.3 The Main Menus of the System 3.4 Information Doctor 3.5 Information the Clinic 3.6 Data New Reservation 3.7 Information Status 3.8 The First Diagnosis 3.9 The Second Diagnosis 3.10 Emergency Case 3.11 Information Prescription 3.12 System Settings 4 Discussion 4.1 Diagnostics 4.2 System Output 4.3 Final Results of the Program 5 Conclusion References Event Detection on Social Data Streams Using Hybrid-Deep Learning 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Neural Network 3.2 Embedding Word 3.3 Convolutional Neural Network 3.4 Recurrent Neural Networks (RNN) 3.5 Proposed Hybrid Model (1DCNN and LSTM) 3.6 Pre-processing Stage 3.7 Extraction Feature Stage 3.8 Attribute Extraction Stage 4 Results of the Proposed Event Detection System 4.1 Load Dataset 4.2 Results of Classification Stage 5 Conclusions References Automated Machine Learning Deployment Using Open-Source CI/CD Tool 1 Introduction 2 Background 3 Methodology 3.1 Effect of Learning Rate with Batch Size 3.2 Neural Layers 3.3 Our Proposed Model 3.4 Task of Data Scientist 3.5 Task oF CI/CD 3.6 Industrial Significance of Proposed Model 4 Conclusion References Movie Recommendation System Using Machine Learning and MERN Stack 1 Introduction 2 Applications 3 Literature Review 4 System Architecture 5 Conclusion 6 Future Work References A Modified Newman-Girvan Technique for Community Detection 1 Introduction 2 Community Detection Problem 3 Related Work 4 Data Sets 5 Proposed Methodology 6 Result 7 Conclusion References Mental Stress Level Detection Using LSTM for WESAD Dataset 1 Introduction 2 Related Work 3 Dataset Description 4 Proposed Work 5 Empirical Result and Discussion 5.1 Comparative Analysis 6 Conclusion and Future Recommendation References Movie Tag Prediction System Using Machine Learning 1 Introduction 2 Related Work 3 Proposed Methodology 4 Result and Analysis 5 Conclusion and Future Scope References Online Recommendation System Using Collaborative Deep Learning 1 Introduction 2 Literature Review 3 Proposed Methodology 3.1 Data Preprocessing 3.2 Data Exploration 3.3 Cosine Similarity 3.4 Matrix Generation 3.5 Feature Reduction 3.6 Collaborative Learning 4 Results and Discussions 4.1 Data Set Description 4.2 Experimental Parameters 4.3 Performance Parameters 4.4 Result Analysis 5 Conclusion References Image Encryption Based on Cyclic Chaos, PRNG and Arnold’s Cat Map 1 Introduction 2 Literature Survey 3 Basic Concepts 3.1 Arnold’s Cat Map 3.2 Cyclic Chaos 3.3 PRNG (Pseudorandom Number Generator) 4 Proposed Work 5 Experimental Results and Analysis 5.1 Histogram Analysis 5.2 Cross-correlation Analysis 5.3 MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio) 6 Conclusion References Heartbeat Classification Using Sequential Method 1 Introduction 2 Literature Review 3 Proposed Model 3.1 Data 3.2 Methodology 4 Result 5 Conclusion References Deep Neural Ideal Networks for Brain Tumour Image Segmentation 1 Introduction 2 Literature Survey 3 Architectures for Deep Learning 3.1 Dataset 3.2 Methodology 4 Comparison Graph 4.1 Convolution Neural Networks 4.2 Image Enhancement 4.3 ResNet 4.4 Residual Block 4.5 ResNet (Residual Network) Architecture 5 Results and Discussion 5.1 Comparative Study 6 Conclusion References Exploring Correlation of Deep Topic Models Using Structured Topic Coherence 1 Introduction 2 Related Works 3 Correlated Deep Topic Models (dCTM) 4 Results 5 Conclusion References Value-Added Tax Fraud Detection and Anomaly Feature Selection Using Sectorial Autoencoders 1 Introduction 2 Literature Review 3 Proposed Approach 3.1 Stacked Autoencoders 3.2 Sectorial SAEs 4 Experiment and Results 4.1 Data 4.2 Results and Discussion 5 Conclusion References Hybrid Intrusion Detection System Using Machine Learning Algorithm 1 Introduction 2 Related Works 3 NSL-KDD Dataset 4 Proposed System 4.1 Data Preprocessing 4.2 Feature Selection 4.3 Feature Classification 5 4. Adaptive Ensemble Model 6 The Evaluation of the Performance Test Result 6.1 Data Preprocessing 6.2 Feature Selection 6.3 Feature Classification 6.4 Adaptive Ensemble Model 7 The Evaluation Criteria 8 Conclusion and Evaluation Results References A Comprehensive Review of CNN-Based Sign Language Translation System 1 Introduction 2 Background 3 Methodology 4 Results and Discussion 5 Conclusion and Future Scope References HMM-Assisted Proactive Vulnerability Mitigation in Virtualization Datacenter Though Controlled VM Placement 1 Introduction 2 Related Works 3 Proactive Vulnerability 4 Results 5 Conclusion References ViDepBot: Assist People to Tackle Depression Due to COVID Using AI Techniques 1 Introduction 2 Background Study 3 Proposed System 4 Results and Analysis 5 Conclusion and Future Work References A Review on Prevalence of Worldwide COPD Situation 1 Introduction 2 Materials and Methods 3 COPD and Similar Diseases 4 Analysis and Result 5 Discussion 6 Conclusion References Optimal Decision Making to Select the Best Suppliers Using Integrating AHP-TOPSIS 1 Introduction 2 Analytic Hierarchy Process (AHP) 3 TOPSIS Technique 4 Decision Making Using Integrating AHP-TOPSIS 5 Case Study 6 Conclusion and Future Work References Drug Discovery Analysis Using Machine Learning Bioinformatics 1 Introduction 2 Related Works 3 Methods 3.1 Lipinski Descriptors 3.2 pIC50 3.3 Padel Descriptors 3.4 Performance Analysis 3.5 Exploratory Data Analysis 4 Conclusion and Discussion References Effect of GloVe, Word2Vec and FastText Embedding on English and Hindi Neural Machine Translation Systems 1 Introduction 2 Literature Review 3 Preliminaries 3.1 Word Embeddings 3.2 Deep Neural Networks 4 Experimental Setup 4.1 Dataset 4.2 Preprocessing 4.3 Model 5 Results and Discussion 6 Conclusion References Resource Provisioning Aspects of Reserved and On-Demand VMs in Cloud Computing Environments 1 Introduction 2 Related Work 3 System Architecture 4 Problem Statement 5 Simulation Scenario 6 Results and Discussions 7 Open Challenges 8 Conclusion References Open-Source Simulators for Drone-Assisted Vehicular Ad Hoc Networks 1 Introduction 2 UAV-Assisted VANETs 3 Criteria for Simulators 3.1 License 3.2 Timing 3.3 User Interface 3.4 Scalability 3.5 Statistics 3.6 Supported Platforms 3.7 Support for 2D and 3D Mobility Models 3.8 Performance 3.9 Support for Network Protocols and Latest Technology 4 Open-Source Simulation Software 5 Mobility Simulators 5.1 SUMO 5.2 MOVE 5.3 FreeSim 5.4 CityMob 5.5 STRAW 5.6 VanetMobiSim 5.7 BonnMotion 6 Network Simulators 6.1 NS-2 6.2 NS-3 6.3 OMNeT++  6.4 GlomoSim 6.5 NCTUns 6.6 GrooveNet 6.7 TraNS 6.8 J-Sim 7 Conclusion and Future Work References A Comparative Analysis of Various Methods for Attendance Framework Based on Real-Time Face Recognition Technology 1 Introduction 2 Related Work 3 Comparison of Approaches for Attendance Framework Based on Real-Time Face Recognition Technology 4 Results and Discussion 5 Conclusion and Future Work References Identification of Efficient Industrial Robot Selection (IRS) Methods and Their Performance Analysis 1 Introduction 2 Robot Selection Techniques 3 Results and Discussion 4 Conclusion and Future Scope 4.1 Future Scope References Brain Tumor Diagnosis Using K-Means and Morphological Operations 1 Introduction 1.1 Motivation 2 Literature Survey/Related Work 3 Design and Methodology 4 Experiment and Result Analysis 4.1 Data Preprocessing 4.2 Skull Removal 4.3 Segmentation 4.4 Thresholding 4.5 Morphological Operations 5 Conclusion and Future Work References Anomaly Detection Techniques in Intelligent Surveillance Systems 1 Introduction 2 Related Works 3 Proposed System Framework 4 Proposed Method 5 Dataset 6 Experimental Outcomes and Result Evaluation 7 Discussion 8 Conclusions and Limitations References Effective Detection of DDoS Attack in IoT-Based Networks Using Machine Learning with Different Feature Selection Techniques 1 Introduction 2 Research Methodology 2.1 Dataset 2.2 Data Pre-processing 2.3 Feature Selection 2.4 Classifiers Used 3 Experimental Results (Stimulation Process) 3.1 Cross-Validation Results on the FS1 3.2 Cross-Validation Results on the FS2 3.3 Cross-Validation Results on the FS3 4 Results Analysis 5 Conclusion and Future Work References A Collaborative Destination Recommender Model in Dravidian Language by Social Media Analysis 1 Introduction 2 Literature Review 3 Dataset 4 Methodology 5 Conclusion References Analysis of Influential Features with Spectral Features for Modeling Dialectal Variation in Malayalam Speech Using Deep Neural Networks 1 Introduction 2 Related Work 3 Proposed Methodology and Design 3.1 The Proposed Methodology 3.2 Dataset 4 Methodology for LSTM-RNN 4.1 Feature Extraction 4.2 Model Building 5 Methodology for Deep CNN 6 Result and Discussion 7 Conclusion and Future Scope References Effect of Feature Selection Techniques on Machine Learning-Based Prediction Models: A Case Study on DDoS Attack in IoT-Based Networks 1 Introduction 2 Research Methodology 2.1 Experimental Setup (Stimulation Process) 3 Results and Analysis 3.1 Cross-Validation Results for the Dataset 1 3.2 Cross-Validation Accuracy for the Dataset 2 3.3 Cross-Validation Results on Dataset 3 3.4 Analysis 4 Limitations of the Proposed Study 5 Conclusion and Future Work References Optimal Feature Selection of Web Log Data Using Optimization Techniques 1 Introduction 2 Related Work 3 Attacks in Web Log Data 4 Proposed Algorithm 4.1 Genetic Algorithms 4.2 Grasshopper Optimization Algorithm (GOA) 5 Experiment and Result Analysis 5.1 Performance Measures 5.2 DoS-Attacks Detection 5.3 Probe-Attacks Detection 6 Conclusion References Colorizing Black and White Images Using Deep ConvNets and GANs 1 Introduction 1.1 Motivation 1.2 Paper Organization 2 Related Work 3 Methodology 3.1 Objectives 3.2 Network Architecture 3.3 Experiment 4 Conclusion and Future Scope References Water Potability Prediction on Crops Considering pH, Chloramine, and Lead Content Using Support Vector Machine 1 Introduction 2 System Overview 2.1 Scope 3 Methodology 4 Existing Work 4.1 Drawbacks of the Existing Work 5 Proposed Work 5.1 Merits of the Proposed Work 6 System Analysis 6.1 Data Pre-processing 6.2 Data Visualization 6.3 Data Analysis and Model Creation 7 Results and Discussion 8 Conclusion References CRACLE: Customer Resource Allocation in CLoud Environment 1 Introduction 2 Literature Survey 3 Methodology Adopted 4 Experimental Setup 5 Result 6 Conclusion References Detection SQL Injection Attacks Against Web Application by Using K-Nearest Neighbors with Principal Component Analysis 1 Introduction 2 Related Work 3 SQLIA Proposed System 3.1 K-Nearest Neighbor (KNN) 3.2 Data Pre-processing 3.3 Principal Component Analysis (PCA) 3.4 SQL-i Datasets 3.5 Proposed (SQLIA) Approach Design 4 Result and Discussion 5 Conclusion References Certain Investigations on Ensemble Learning and Machine Learning Techniques with IoT in Secured Cloud Service Provisioning 1 Introduction 2 Related works 3 Results and Discussions 4 Conclusions and Future Work References CAPTCHA-Based Image Steganography to Achieve User Authentication 1 Introduction 1.1 CAPTCHA Codes 1.2 Pixel Value Differencing (PVD) 1.3 Objective of the Work 2 Related Work 3 Proposed Technique 4 Implementation 4.1 Rule for creation of CAPTCHA 4.2 Algorithm for encryption 4.3 Decryption Algorithm 4.4 CAPTCHA Implementation and Encryption, Decryption Implementation 5 Results Analysis 6 Conclusions References A Systematic Review on Deepfake Technology 1 Introduction 2 Background Study 2.1 Architecture 3 Related Works 4 Social Implications 4.1 Accessibility 4.2 Education 4.3 Art 4.4 Autonomy and Expression 4.5 Message and Its Reach Enhancement 4.6 Digital Reconstruction and Public Security 4.7 Innovation 5 Deepfake Impact on Individuals, Organizations, and Governments 6 Deepfake Challenges 6.1 Genesis Deepfakes: Challenges 6.2 Detecting Deepfakes: Challenges 7 Solution(s) to Deepfakes? 8 Conclusion and Future Scope References Predicting Stock Market Price Using Machine Learning Techniques 1 Introduction 2 Literature Review 3 Datasets Descriptions and Methods 4 Results and Discussions 5 Conclusion References Hyper Lattice Structure for Data Cube Computation 1 Introduction 2 Literature Review 3 Hyper Lattice Structure in Data Warehouse 3.1 Proposed Framework for Data Cube Computation in Hyper Lattice 4 Comparative Analysis—Traditional Lattice Versus Hyper Lattice 5 Conclusion and Future Scope References Malicious Network Traffic Detection in Internet of Things Using Machine Learning 1 Introduction 2 Literature Survey 3 Proposed Methodology 3.1 Pre-processing 3.2 Feature Extraction 3.3 Random Forest, KNN and SVM 3.4 Train Test Split 4 Dataset 5 Results and Evaluation 5.1 Experimental Setup 5.2 Results Analysis 5.3 Performance Metrics 5.4 Accuracy 5.5 Precision 5.6 Recall 5.7 F1-Score 6 Conclusion 7 Future Scope References Emotion Recognition from Speech Using Convolutional Neural Networks 1 Introduction 2 Literature Review 3 Datasets and Feature Extraction 3.1 Datasets 3.2 Feature Extraction 4 Deep Learning Models 5 Results and Discussion 5.1 Model 1 (Baseline Model) 5.2 Model 2 5.3 Model 3 6 Conclusion References Performance Evaluation of Contextualized Arabic Embeddings: The Arabic Sentiment Analysis Task 1 Introduction 2 Problem Definition 3 Literature Review 4 Contextualized Embedding Models 4.1 Models Based on BERT 4.2 Other Arabic Language Contextualized Models 5 Experimental Results 5.1 Dataset Collection 5.2 Dataset Prepossessing 5.3 Transformers Implementation 5.4 Results 6 Future Work and Recommendations 7 Conclusion References Estimating Human Running Indoor Based on the Speed of Human Detection by Using OpenPose 1 Introduction 2 Related Work 3 Proposal Methods 3.1 OpenPose Retrieves the Human Body’s Skeleton Information 3.2 Tracking Humans by Pose Estimation 3.3 Measurement Distance Between the Camera and Human 3.4 Human Speed Estimation 3.5 Classification 4 Experiment Result 4.1 Dataset Collection 4.2 Result 4.3 Comparison 5 Conclusions and Future Work References Enhanced Multi-label Classification Model for Bully Text Using Supervised Learning Techniques 1 Introduction 2 Related Works 3 Research Methodology 3.1 Data Analysis 3.2 Data Preprocessing 3.3 Feature Extraction 3.4 Classification 4 Result and Analysis 4.1 Confusion Matrix 5 Conclusions References Prediction of Donor–Recipient Matching in Liver Transplantation Using Correlation Method 1 Introduction 2 Related Works 3 Research Methodology 3.1 Dataset 3.2 Data Preprocessing 4 Dimensionality Reduction 4.1 Feature Extraction 4.2 Feature Selection 4.3 Correlation Method 5 Experimental Results 6 Conclusion References Blockchain for 5G-Enabled IoHT—A Framework for Secure Healthcare Automation 1 Introduction 2 Literature Survey 2.1 Healthcare 2.2 Blockchain Technology and Related Concepts 2.3 Numerous Blockchain Capabilities to Support Global Healthcare Culture 3 5G Technologies for Smart Healthcare 4 IoT in Healthcare 5 Integration of 5G, Blockchain, and IoT in Healthcare 5.1 Proposed Framework 5.2 Working of Proposed Framework 6 Conclusions and Future Work References PCG Heart Sounds Quality Classification Using Neural Networks and SMOTE Tomek Links for the Think Health Project 1 Introduction 2 Literature Review 3 Methodology 4 Experimental Tests and Results 4.1 Classification Model with Neural Networks 4.2 PCG Sound Quality Classification Performance 5 Discussion 6 Conclusions References An Influential User Prediction in Social Network Using Centrality Measures and Deep Learning Method 1 Introduction 2 Literature Survey 3 Methodology 3.1 Data Collection 3.2 Data Modeling 3.3 Data Transformation (DT) 3.4 Prediction and Training 4 Result and Discussion 5 Conclusion References An Approach to Enhance the Character Recognition Accuracy of Nepalese License Plates 1 Introduction 1.1 Nepalese License Plate 2 Background and Literature Review 3 Proposed Method 3.1 Noise Filtering and Plate Region Segmentation 3.2 Positional Decision of LP Characters 4 Result and Discussion 4.1 LP Segmentation Results 4.2 Character’s Position Labeling and Accuracy 5 Conclusion References Detection of Fake News by Machine Learning with Linear Classification Algorithms: A Comparative Study 1 Introduction 2 Statement of the Problem 3 The Proposed System 3.1 The Preprocessing Phase 3.2 Text Representation 3.3 Machine Learning 4 Experiment Results 5 Conclusion 6 Challenges References An Ensemble Approach for Aspect-Level Sentiment Classification Using Deep Learning Methods 1 Introduction 2 Related Work 2.1 Deep Learning in Context of ALSC 2.2 Ensemble Learning 3 The Proposed Approach 3.1 Data Modeling Procedure for Deep Learning-Based ALSC 3.2 The Architecture 4 Experimental Study 4.1 Datasets and Evaluation Metrics 4.2 Experimental Results 4.3 Statistical Test 5 Conclusion References A Novel Clustering Approach in Wireless Sensor Networks Using Artificial Intelligence 1 Introduction 1.1 Author’s Contribution 2 Related Work 3 Overview of BBO 4 Proposed Algorithm 4.1 HSI Computed 4.2 Immigrant and Emigrant Flow Rates 4.3 Operators for Migration 5 Results 6 Conclusion and Future Scope References Analysis on Exposition of Speech Type Video Using SSD and CNN Techniques for Face Detection 1 Introduction 2 Related Work 3 Approach 4 Results and Discussion 5 Conclusion References Author Index