International Conference on Innovative Computing and Communications: Proceedings of ICICC 2021, Volume 1 (Advances in Intelligent Systems and Computing, 1387)

Description

This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.   ICICC-2021 Steering Committee Members Preface Contents About the Editors Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City 1 Introduction 2 Literature Review 3 Virtual High-Performance Computing Based on Virtual Clusters and Docker 4 Conclusions References Implementing Multilevel Graphical Password Authentication Scheme in Combination with One Time Password 1 Introduction 2 Related Works 3 Projected Scheme 4 Results and Usability Study 5 Comparative Analysis 6 Conclusion 7 Future Scope References State of Geographic Information Science (GIS), Spatial Analysis (SA) and Remote Sensing (RS) in India: A Machine Learning Perspective 1 Introduction 1.1 Status Quo in Indian Resources 1.2 Natural Disasters in India 1.3 The Role of GIS, RS, and SA Via ML Vis-à-Vis India 2 GIS Mappings: An Insight into Indian Studies 3 Geospatial Abridgement: ML Studies at a Glance 4 Conclusion and Future Scope References Application of Noise Reduction Techniques to Improve Speaker Verification to Multi-Speaker Text-to-Speech Input 1 Introduction 2 Related Works 3 Preliminaries 3.1 Encoder 3.2 Synthesizer 3.3 Vocoder 3.4 Database 4 Methodology 4.1 System Architecture 5 Implementation 6 Results 6.1 Noise Reduction Using Power 6.2 Noise Reduction Using Centroid Analysis (No Boost) 6.3 Noise Reduction Using Centroid Analysis (with Boost) 6.4 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Down 6.5 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Up 6.6 Noise Reduction Using Median 6.7 Final Result 7 Conclusion References Utilization of Machine Learning Algorithms for Thyroid Disease Prediction 1 Introduction 2 Related Works 3 Preliminaries 3.1 K-Nearest Neighbor Algorithm 3.2 Linear Discriminant Analysis 3.3 Logistic Regression 3.4 Naïve Bayes 3.5 Support Vector Machine 4 Methodology 4.1 Dataset 4.2 Applying Algorithms 4.3 Accuracy 4.4 Cross-Validation 5 Results 5.1 Cross-Validation 5.2 Accuracy 6 Conclusion References Detection of Hepatitis C Virus Progressed Patient’s Liver Condition Using Machine Learning 1 Introduction 2 Literature Review 3 Methodology 3.1 Data Collection 3.2 Data Preprocessing 3.3 Exploratory Data Analysis 3.4 Machine Learning for Classification 4 Results and Discussion 5 Conclusion References Energy Performance Prediction of Residential Buildings Using Nonlinear Machine Learning Technique 1 Introduction 2 Data Mining Algorithms 2.1 Artificial Neural Networks 2.2 Chi-Square Automatic Interaction Detector (CHASID) 2.3 Classification and Regression Tree (CART) 2.4 Support Vector Regression (SVR) 2.5 General Linear Regression (GLR) 3 Proposed Algorithm 3.1 Deep Learning 4 Experimental Results and Discussion 5 Conclusion References Cloud Image Prior: Single Image Cloud Removal 1 Introduction 2 Problem Formulation 3 Proposed Framework and Methodology 3.1 Cloud Segmentation 3.2 Cloud Removal 4 Dataset 5 Architecture 6 Training 6.1 Cloud Segmentation 6.2 Cloud Removal 7 Results 8 Conclusions References Prioritizing Python Code Smells for Efficient Refactoring Using Multi-criteria Decision-Making Approach 1 Introduction 1.1 Research Contributions 2 Related Studies 3 Research Methodology 4 Context Selection 4.1 Python Software System Selection 4.2 Python-Based Code Smell Selection and Detection 5 Experimental Setup 5.1 Data Pre-processing 5.2 Weight Estimation 5.3 VIKOR MCDM Techniques 6 Results and Discussion 7 Threats to Validity 8 Conclusion 9 Future Scope References Forecasting Rate of Spread of Covid-19 Using Linear Regression and LSTM 1 Introduction 2 Literature Review 2.1 Our Work 3 Methods and Models 3.1 Data 3.2 Evaluation Metrics 3.3 Method 4 Experimental Result 4.1 Comparing with Other Studies 5 Conclusion and Future Scope References Employment of New Cryptography Algorithm by the Use of Spur Gear Dimensional Formula and NATO Phonetic Alphabet 1 Introduction 2 Proposed Work 2.1 Key Engendering 2.2 Encryption 2.3 Decryption 3 Result Analysis 4 Conclusion References Security Framework for Enhancing Security and Privacy in Healthcare Data Using Blockchain Technology 1 Introduction 2 Related Work 3 Proposed Work 4 Performance Analysis 5 Conclusion References American Sign Language Identification Using Hand Trackpoint Analysis 1 Introduction 2 Related Work 3 Data Collection 3.1 Feature Extraction 4 Preprocessing 4.1 Normalization of Coordinates 4.2 Rounding Off 5 Method 5.1 k-Nearest Neighbours Classifier (k-NN) 5.2 Random Forest Classifier 5.3 Neural Network 6 Observations 6.1 k-NN 6.2 Random Forest 6.3 Neural Network 7 Results and Discussion 8 Conclusion and Future Work References Brain Tumor Detection Using Deep Neural Network-Based Classifier 1 Introduction 2 Literature Survey 3 Methodology 3.1 Faster R-CNN-Based Approach for Segmentation of Images 4 Results and Discussion 5 Conclusion and Future Work References Detecting Diseases in Mango Leaves Using Convolutional Neural Networks 1 Introduction 2 Literature Survey 3 Methodology 3.1 System Requirements 3.2 Preparing the Data 3.3 Image Manipulation 4 Model Design 4.1 Approach 4.2 Model Summary 5 Results 6 Conclusions and Future Scope References Recommending the Title of a Research Paper Based on Its Abstract Using Deep Learning-Based Text Summarization Approaches 1 Introduction 2 Related Work 3 Data Set 4 Methodology 4.1 Sequence-to-Sequence Model 4.2 Recurrent Neural Networks 5 Results 6 Conclusion References An Empirical Analysis of Survival Predictors for Cancer Using Machine Learning 1 Introduction 2 Related Work 3 Methodology 3.1 Data Collection and Preprocessing 3.2 Classification Techniques 4 Results and Discussion 5 Conclusion References Epitope Prediction for Peptide Vaccine Against Chikungunya and Dengue Virus, Using Immunoinformatics Tools 1 Introduction 2 Methods 3 Results 4 Discussion 5 Conclusion References Airflow Control and Gas Leakage Detection System 1 Introduction 2 Related Work 3 Hardware and Software 4 Implementation 5 Conclusion References Impact of Lightweight Machine Learning Models for Speech Emotion Recognition 1 Introduction 2 Related Work 3 Experimental Setup 3.1 Dataset 3.2 Architecture 3.3 Data Preprocessing 3.4 Building Audio Vectors and Feature Extraction 3.5 Classifiers 4 Score Calculation 5 Implementation Details 6 Results 7 Discussion and Limitation 8 Conclusion and Future Work References Impact of COVID-19 Pandemic on Mental Health Using Machine Learning and Artificial Intelligence 1 Introduction 2 Material and Method 2.1 Preprocessing of Data 3 Results and Discussion 4 Conclusion References Identification of Student Group Activities in Educational Institute Using Cognitive Analytics 1 Introduction 2 Related Work 3 Methodology 3.1 Data Collection 3.2 Data Preparation 3.3 Algorithm 3.4 Correlation Matrix Plot 3.5 Groups Versus Individual 4 Results 4.1 Takeaways from the Inferences and Correlation Matrix 4.2 Takeaways from the Variance Distribution Graph 5 Conclusion and Future Work Appendix References A Machine Learning Model for Automated Classification of Sleep Stages using Polysomnography Signals 1 Introduction 2 Related Research 3 Methodology 3.1 Experimental Data 3.2 Model Architecture 3.3 Preprocessing 3.4 Features Extraction 3.5 Feature Selection 3.6 Classification 3.7 Model Performance Evaluation 4 Results and Discussion 4.1 Using Combinations of EEG+EMG+EOG Signals 5 Conclusion References An Efficient Approach for Brain Tumor Detection Using Deep Learning Techniques 1 Introduction 2 Related Works 3 Deep Learning 3.1 Convolutional Neural Network 3.2 Convolutional Layer 3.3 Pooling Layer 3.4 Flatten and Dense Layer 3.5 Strides 3.6 Padding 4 CNN Architectural Model 5 Data 5.1 Data Augmentation 6 Computer Vision 6.1 Mask R-CNN 7 Model Implementation 8 Model Output 9 Conclusion References Real-Time Detection of Student Engagement: Deep Learning-Based System 1 Introduction 2 Related Work 3 Methodology 3.1 The Architecture of the Student Engagement System 3.2 Dataset 3.3 Preprocessing 3.4 The Architecture of Pre-training Model 4 Experimental Results 4.1 Training and Testing 4.2 Classifier Evaluation 4.3 Confusion Matrix 4.4 Real-Time engaged detector 5 Discussion 6 Conclusion References Bangla Handwritten Digit Recognition Based on Different Pixel Matrices 1 Introduction 2 Literature Review 3 Proposed Method 3.1 Dataset Collection 4 Dataset Preparation 4.1 Different Pixel Image Generation 4.2 RGB to Grayscale 4.3 One-Hot Encoding 4.4 Description of Convolutional Neural Network (CNN) 4.5 Optimizer and Learning Rate 4.6 Loss and Activation Function 4.7 Dropout 5 Experimental Result and Analysis 5.1 Experimental Environment 5.2 Training, Validation, and Test Set 5.3 Hyperparameter Optimization 5.4 Result Analysis 5.5 Result Comparison 6 Summary of the Findings 7 Conclusion References Information Extraction and Sentiment Analysis to Gain Insight into the COVID-19 Crisis 1 Introduction 2 Related Works 3 Information Extractions and Sentiment Analysis 3.1 Tweets Dataset and CORD-19 Dataset 3.2 Data Preprocessing and Cleaning 3.3 Extracting Topics with Latent Dirichlet Allocation 3.4 Analyzing Sentiments in Tweets 3.5 Evaluation of Sentiments 4 Results and Discussions 5 Conclusion References Gender Recognition Using Deep Leering Convolutional Neural Network 1 Introduction 2 Related Work 2.1 Proposed Methodology 2.2 Dataset 2.3 Preprocessing 2.4 Experimental Work and Result 2.5 The Real Time 3 Discussion 4 Conclusion References Detection of COVID-19 Using EfficientNet-B3 CNN and Chest Computed Tomography Images 1 Introduction 2 Related Work 3 Proposed Method 4 Experimental Results 4.1 Datasets 4.2 Experimental Setup 4.3 Results 5 Conclusion References Comparative Study on Identification and Classification of Plant Diseases with the Support of Transfer Learning 1 Introduction 2 Related Work 3 Methodologies 3.1 Dataset and System Discussion 3.2 Methodologies 4 Results and Discussion 5 Conclusion References Cross Channel Scripting Attacks (XCS) in Web Applications 1 Introduction 1.1 Cross Channel Scripting 1.2 Motives of the Attacker 2 Defending Against XCS Vulnerabilities 2.1 Content Sanitization 2.2 Black-Box Scanner [8] 2.3 Client-Side XCS Detection Mechanism 2.4 A Server-Side Approach to Defend XCS Vulnerabilities Using XCS-SAFE 2.5 Secure Web Application Proxy 2.6 Server-Side Mechanism to Mitigate XCS Attacks [4] 3 Prevention of XCS Attacks 4 Concept of Fingerprints 5 Site-Firewall [4] 6 Conclusion References Localization-Based Multi-Hop Routing in Wireless Body Area Networks for Health Monitoring 1 Introduction 2 Related Work 3 System Model 3.1 Network Model 3.2 Assumptions 3.3 Energy Model 3.4 Path Loss 4 Proposed System 4.1 Network Setup Phase 4.2 Forwarder Node Selection 4.3 Scheduling 5 Simulation Results 5.1 Network Lifetime 5.2 Throughput 5.3 Residual Energy 5.4 Path Loss 6 Conclusion and Future Work References Analyzing Security Testing Tools for Web Applications 1 Introduction 2 Related Works 3 Methodology and Experiment 3.1 Automatic Scan 3.2 Manually Scan 4 Experimental Results and Discussion 5 Conclusion References A Study on Password Security Awareness in Constructing Strong Passwords 1 Introduction 2 Related Works 3 Methods 4 Results and Discussion 5 Conclusion References Minimum Pearson Distance Detection for MIMO-OFDM Systems 1 Introduction 2 Background Work 2.1 Pearson Distance and T-Constrained Codes [2] 2.2 Slepian’s Algorithm [1] 2.3 Analysis of Transmission Schemes for MIMO Systems 3 Proposed OFDM and LTE System Design with MPD 4 Results and Discussion 4.1 Simulation Results: BER Performance 4.2 Computational Complexity and Implementation Aspects 5 Conclusions References Study on Emerging Machine Learning Trends on Nanoparticles— Nanoinformatics 1 Introduction 2 Nanoparticles and Nanoinformatics: The Uncharted Territories 3 Continuing Challenges 4 Data Mining and Machine Learning for Nanoparticles 4.1 Machine Learning Methods 4.2 Natural Language Processing for Nanoparticles 5 Approaches and Methods—An Analysis 6 Discussion of Flow Diagram 6.1 Data Collection 6.2 Data Set Formation 6.3 Data Cleaning 6.4 Data Preprocessing 6.5 Preprocessing Technique 6.6 Validation and Further Analysis 7 Conclusion References A Review of the Oversampling Techniques in Class Imbalance Problem 1 Introduction 2 Approaches to Handle Class Imbalance Problem 2.1 Data-Level Approach 2.2 Algorithm-Level 2.3 Hybrid Level 3 Previous Work 4 Comparison of Oversampling Methods 5 Conclusion References Eye Blink-Based Liveness Detection Using Odd Kernel Matrix in Convolutional Neural Networks 1 Introduction 2 Literature Survey 3 Methodology 3.1 Convolutional Layer 3.2 Pooling Layer 3.3 Activation Function 3.4 Fully Connected Layer 4 Proposed Odd Kernel Matrix (OKM-CNN) for Liveness Detection 5 Experimental Results 5.1 Dataset 5.2 Training and Testing: 5.3 Performance Evaluations 6 Conclusion References Predicting Student Potential Using Machine Learning Techniques 1 Introduction 2 Literature Review 3 Machine Learning Techniques 4 Implemented Methodologies 5 Experiment and Results 6 Conclusion References Routing Based on Spectrum Quality and Availability in Wireless Cognitive Radio Sensor Networks 1 Introduction 2 Related Works 3 Proposed Method 3.1 Network and Sensing Model 3.2 Working of the Proposed Method 4 Results and Discussions 4.1 Average Energy Consumption 4.2 Packet Delivery Ratio (PDR) 4.3 Throughput 4.4 Comparative Study of Performance Variations 5 Conclusion References A Review on Scope of Distributed Cloud Environment in Healthcare Automation Security and Its Feasibility 1 Introduction 2 Multi-Cloud Environment 3 Distributed File System 4 Challenges in Portable Connected Device Security 5 Connectivity Challenges 6 Proposed Solution 7 Upload and Download Compare 8 Conclusion References Smart Traffic Monitoring and Alert System Using VANET and Deep Learning 1 Introduction 1.1 Evolution of VANET Technology 1.2 Current System 1.3 Deep Learning 2 Proposed System 2.1 Assumptions 2.2 Pre-requisites 2.3 Vehicle Detection 2.4 Average Speed 2.5 Speed Detection 2.6 Automatic License Plate Recognition 2.7 Anomalous Driving 2.8 Vehicle Involved in an Accident 2.9 V2I 2.10 V2V 2.11 Emergency Vehicle 3 Conclusion References Enhancement of Lifetime of Wireless Sensor Network Based on Energy-Efficient Circular LEACH Algorithm 1 Introduction 2 LEACH Protocol 2.1 Energy Computation in Radio Model 2.2 Initialization of Rectangular LEACH Network 3 Proposed Algorithm 3.1 Circular LEACH 4 Simulation and Results 5 Conclusion References Estimation and Correction of Multiple Skews Arabic Handwritten Document Images 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Preprocessing Stage 3.2 Line Segmentation 3.3 Skew Detection and Correction 4 The Experimental Results and Discussions 5 Conclusion References Heart Disease Prediction Using Hybrid Classification Methods 1 Introduction 2 Literature Review 3 Methodology 4 Result and Discuss 5 Conclusion References Job Recommendation System Using Content and Collaborative-Based Filtering 1 Introduction 2 Related Work 2.1 Recommendation Algorithms 2.2 Content-Based Filtering 2.3 Collaborative-Based Filtering 3 Proposed Approach 4 Experiment Setup and Result 5 Conclusion References Recommendation System for Business Process Modelling in Educational Organizations 1 Introduction 2 Related Work 3 Proposed Approach 3.1 The Cold-Start Problem and Its Elimination 3.2 Collaborative Filtering and User Flow 4 Simulation and Results 5 Conclusion and Future Work References Using Bidirectional LSTMs with Attention for Categorization of Toxic Comments 1 Introduction 2 Background and Related Work 3 Approach 3.1 Data and Preprocessing 3.2 Baseline Model 3.3 Recurrent Architectures 3.4 Attention Mechanism 4 Experiments 4.1 Experiment Configurations 4.2 Evaluation 4.3 Qualitative Evaluation via Attention 5 Conclusions and Future Work References Detection of Rheumatoid Arthritis Using a Convolutional Neural Network 1 Introduction 2 Related Works 3 Materials and Methods 4 Results and Discussion 5 Conclusion References The Improved Method for Image Encryption Using Fresnel Transform, Singular Value Decomposition and QR Code 1 Introduction 2 Structured Phase Mask (SPM) 3 Singular Value Decomposition (SVD) 4 Fresnel Transform 5 Simulation and Numerical Results 6 Conclusion References A Study on COVID-19 Impacts on Indian Students 1 Introduction 1.1 Method of Data Collection 1.2 Empirical Findings on Socioeconomic Factors Affecting Students Learning Amidst COVID 1.3 Workflow 1.4 Aims—Hypothesis 2 Methods 2.1 Design—Participants 2.2 Study 3 Results 3.1 How Does the Type of Education (Public/Private/International) Affect the Student’s Learning Progress? To What Extent Does the Family’s Income Determine the Student’s Academic Performance? 3.2 Does Having More Siblings Affect the Student’s Learning Hours? Is English an Important Factor in Determining How Confident a Student Is About His/Her Learning Progress? 3.3 Is Support from Family and Friends a Determiner of Students’ Learning During Tough Times? 3.4 How Do Teachers Influence Their Students into Learning and Help Them Cope with Their Studies Online? 4 Conclusion References Improving Efficiency of Machine Learning Model for Bank Customer Data Using Genetic Algorithm Approach 1 Introduction 2 Literature Survey 3 Research Methodology 4 Experimentation and Results 4.1 Applying Machine Learning Techniques 4.2 Applying ML Techniques on Bank Marketing Dataset 4.3 Applying ML Techniques on Credit Card Dataset 5 Conclusion References Unsupervised Learning to Heterogeneous Cross Software Projects Defect Prediction 1 Introduction 2 Related Work 3 Proposed HCPDP Model 4 Datasets Used and Evaluation Parameters 5 Proposed Work 6 Experimental Results and Discussion 7 Conclusion References PDF Text Sentiment Analysis 1 Introduction 2 Related Work 3 Text Analysis 4 Proposed Approach 5 Experimental Setup 5.1 Extracting the Text from PDF 5.2 Loading the Model in the NLP Pipeline 5.3 Getting the Tokens 5.4 Counting Positive and Negative Words 5.5 Plotting the Graphs 5.6 Finding Overall Sentiment of the PDF 6 Result Analysis 6.1 Word Count Graph Analysis 6.2 Sentiment Analysis Graph 7 Conclusion References Performance Analysis of Digital Modulation Schemes Over Fading Channels 1 Introduction 2 Mathematical Analysis 3 Problem Formulation 4 Simulation and Results 5 Conclusion References Single Image Dehazing Using NN-Dehaze Filter 1 Introduction 2 Single Image Dehazing with NN-Dehaze Algorithm 3 Quantitative Evaluation on Benchmark Dataset 4 Conclusion and Future Work References Comparative Analysis for Sentiment in Tweets Using LSTM and RNN 1 Introduction 1.1 Tweepy 1.2 TextBlob 1.3 LSTM 2 Related Work 2.1 Sentiment Analysis of Tweets Using Microblogs Technique [5] 2.2 Representation Learning and Deep Models [5] 3 Proposed Work 3.1 Long Short-Term Memory Model 3.2 Recurrent Neural Networks 3.3 Datasets of Twitter 4 Results 4.1 Experimental Setup 4.2 Training and Testing 4.3 Evaluation 4.4 Final Results 5 Conclusion References Solving Connect 4 Using Artificial Intelligence 1 Introduction 2 Related Works 2.1 Supervised Learning Using Artificial Neural Network 2.2 Temporal Difference (TD) Learning and N-Tuples Network 3 Methodology 3.1 Connect 4 Using Minimax and Alpha-Beta Pruning 3.2 Connect 4 with Monte Carlo Tree Search (MCTS) 3.3 Connect 4 with Deep Reinforcement Learning 4 Results 4.1 Monte Carlo Tree Search Versus Alpha-Beta Pruning (Minimax) 4.2 Double DQN Versus Monte Carlo Tree Search 4.3 Double DQN Versus Alpha-Beta Pruning (Minimax) 5 Conclusion References A Pareto Dominance Approach to Multi-criteria Recommender System Using PSO Algorithm 1 Introduction 2 Background and Motivation 2.1 Traditional Single Rating Recommender Systems V/S Multi-criteria Recommender Systems 2.2 Concept of Pareto Dominance in MCRS 2.3 Particle Swarm Optimization 2.4 Motivaiton 3 MCRS-PDM for Multi-criteria Recommender Systems 3.1 Phase 1: Selecting the Non-dominated Users 3.2 Phase 2: Similarity Computation and Neighbourhood Formation 3.3 Phase 3: Item Prediction 3.4 Phase 4: Item Recommendation 4 The Proposed Approach: MCRS-PDM with PSO Algorithm 5 Phase I 5.1 Selecting the Non-dominated Users 5.2 Similarity Computation 5.3 Using PSO to Learn Criteria Weights 6 Experiments and Results 6.1 Performance Measures 6.2 Experiments 7 Results 8 Conclusion and Future Scope References Twitter Sentiment Analysis Using K-means and Hierarchical Clustering on COVID Pandemic 1 Introduction 2 Related Work 3 Methods and Approach 4 Results 5 Conclusions References Improved ECC-Based Image Encryption with 3D Arnold Cat Map 1 Introduction 2 Related Work 3 Preliminaries 3.1 Elliptic Curve Cryptography 3.2 Arnold's Cat Map 4 Proposed Design Model 4.1 Image Encryption 4.2 Image Decryption 5 Experimental Results 6 Security Analysis 6.1 Histogram Analysis 6.2 Entropy Analysis 6.3 Resistance to Differential Attacks 6.4 Key Space 6.5 Similarity Measurement 6.6 Known Plain Text Attack 6.7 Correlation Coefficient Analysis 7 Discussion 8 Conclusion References Virtual Migration in Cloud Computing: A Survey 1 Introduction 2 Literature Survey 2.1 Virtualization 2.2 Live Migration 2.3 Comparison of Techniques of Live Migration 2.4 Tools Used for Simulation of Virtual Migration 3 Challenges and Future Scope 3.1 Optimization in Storage Migration 3.2 Dynamic Migration of Multiple Virtual Machines 3.3 Power Consumption 3.4 Security 4 Conclusion References Supervised Hybrid Particle Swarm Optimization with Entropy (PSO-ER) for Feature Selection in Health Care Domain 1 Introduction 2 Research Background 3 Proposed Work 4 Experimental Results 4.1 Comparative Analysis on Reduced Set and the Actual Dataset 4.2 Comparison of PSO-ER, PSO-QR, and PSO-RR 5 Conclusion and Future Enhancement References Contribution Title A Multimodal Biometrics Verification System with Wavelet 1 Introduction 2 Related Works 3 Methodology 4 System Design 4.1 Design of a Verification Biometrics System 4.2 Fusion Approaches 4.3 Matching Scheme 4.4 Correlation 5 Simulation and Result Discussion 5.1 Proposed Algorithm Simulation 5.2 Benchmark Algorithm Simulation 5.3 Fusion Scheme Validation 5.4 Proposed Algorithm Fused Extracted Features 5.5 Benchmark Algorithm Fused Extracted Features 5.6 Proposed Versus Benchmark Algorithms 6 Conclusion References IoT-Based Voice-Controlled Automation 1 Introduction 2 Problem Analysis 3 System Design 4 Implementation 5 Testing and Results 6 Conclusion References Trusted Recommendation Model for Social Network of Things 1 Introduction 2 Related Works 3 Proposed Framework 4 Discussion 5 Conclusion References Efficient Classification Techniques in Sentiment Analysis Using Transformers 1 Introduction 2 Related Study 3 The Proposed Transformer Method 3.1 BERT (Bidirectional Encoder Representation from Transformers) 3.2 RoBERTa (a Robustly Optimized BERT Pretraining Approach) 3.3 Albert (a Lite Bert) 3.4 DistilBERT, a Distilled Version of BERT 4 Results and Discussion 4.1 Experimental Setup 4.2 Results 5 Conclusion References Ultra-Wideband Scattered Microwave Signal for Classification and Detection of Breast Tumor Using Neural Network and Statistical Methods 1 Introduction 2 Types of Breast Cancer 3 Data Collection 4 Result of Training FFNN Using FFT, DCT, and PCA for Feature Extraction 5 Conclusions References Author Index