Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India (Lecture Notes in Electrical Engineering, 1038)

This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning. Contents Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns 1 Introduction 2 Literature Review 3 Data and Methodology 4 Data Preparation and Cleaning 5 Data Exploration with Word clouds 6 ML—Topic Modeling 7 Application of the Latent Dirichlet Allocation (LDA) Model 8 Gamma 9 Discussion 10 Future Work References Opinion Mining-Based Fake Review Detection Using Deep Learning Technique 1 Introduction 2 Literature Review 3 Opinion Mining-Based Fake Review Detection Using Deep Learning Technique 3.1 Text Pre-processing 3.2 Embedding of Attention Word 3.3 Components of Opinion Mining-Based Fake Review Detection Using Deep Learning Technique Approach 4 Experimental Studies 4.1 Data set Used 4.2 Performance Analysis 5 Conclusion References Analysis of the SEER Data set for Lung Cancer Diagnosis for Stage Classification and Survival Analysis 1 Introduction 1.1 Patients with Stage I Cancer 1.2 Patients with Stage II Cancer 1.3 Patients with Stage III Cancer 1.4 Patients with Stage IV Cancer 2 Risk Factors of Lung Cancer 3 Materials and Methods 3.1 Patient Population 4 Statistical Analysis 4.1 Tumour Analysis 5 Parametric Analysis 6 Experimental Setup 6.1 Online Lung Cancer Outcome Calculator 7 SEER Data Dictionary 7.1 Results 8 Conclusion and Future Work References Data Analytics for Athlete Safety in Training 1 Role of Wearables 2 System Architecture 3 Bicep Curls 4 Feature Engineering and Data Cleaning 5 Methodology 6 Results 7 Squats 8 Conclusions and Further Development References Analysis of Various Techniques of Fetal Growth Detection 1 Introduction 1.1 Ultrasound 1.2 Doppler Ultrasound 1.3 Cardiotocography 1.4 Maternal Blood Testing 2 Related Literature 3 Conclusions References Mr. Bot—A Survey on Arduino-Based Autonomous Robotic Vehicle 1 Introduction 2 Literature Survey 3 Objectives 4 Existing System 5 Proposed System 6 Proposed Methodology 7 Applications 8 Expected Result 9 Conclusion 10 Future Enhancements References Water Quality Monitoring and Controlling Systems for Aquaculture 1 Introduction 2 Literature Review 2.1 Water Quality Monitoring Using Wireless Sensor Networks 2.2 Water Quality Monitoring Using IoT 2.3 Water Quality Monitoring Using Artificial Intelligence 3 Discussion 4 Conclusion References IoT-based Fire Analyzer and Fire Fighting System 1 Introduction 2 Literature Review 2.1 Automatic Fire Detection System Using Arduino 2.2 Fire Detector and Extinguisher System Using Arduino 3 Methodology 3.1 Existing System 3.2 Proposed Methods 3.3 Block Diagram 4 Results and Discussion 5 Result 6 Future Scope and Conclusion 6.1 Future Scope 7 Conclusion References Multifocus Image Fusion Based on Convolutional Simultaneous Sparse Approximation 1 Introduction 2 Literature Survey 2.1 High Dynamic Range Imaging 2.2 Multi-Exposure Image Fusion 2.3 Exposure Fusion 2.4 Random Walks for Multi-Exposure Image Fusion 3 Methods 3.1 Existing Method 4 Proposed Method 5 Results 6 Conclusion References Smart Reflecting Surface Approach for Reconfigurable Wireless Signal Transmission 1 Introduction 2 Literature Survey 3 Methodlogy 3.1 Existing Method 3.2 Proposed Method 4 Result 5 Conclusion References ML Based Intelligent Transport System Through GPS and Traffic Analysis 1 Introduction 2 Literature Review 3 Methodology 3.1 Existing Method 3.2 Proposed Method 4 Results and Analysis 5 Conclusion References Monitoring the Farming Conditions Using IoT 1 Introduction 2 Literature Review 3 Methodology 3.1 Existing Method 3.2 Proposed Method 4 Result and Analysis 5 Conclusion References Design of OTFS Modulation by Superimposed Pilot-Based Channel Estimation and Embedded Pilot-Aided Estimation 1 Introduction 2 Literature Review 3 Methodology 3.1 Existing Method 3.2 Proposed Method 4 Result and Analysis 5 Conclusion References Morphology and EMD-Based Patch-Wise Image Fusion 1 Introduction 2 Literature Survey 3 Methodology 3.1 Existing Method 3.2 Proposed Method 4 Experimental Investigations 4.1 Selection of Key Parameters 4.2 Results 5 Conclusion References PSO-Based Evolutionary Image Segmentation System for Analysis of Fatty Liver Level Recognition 1 Introduction 2 Literature Review 3 Methodology 3.1 Existing Method 4 Simulation Results 5 Conclusion References Blake–Zisserman Model of Segmentation Method for Low-Contrast and Piecewise Smooth Image 1 Introduction 2 Literature Survey 3 Existing Method 4 Methodology 4.1 Block Diagram for Extracting Image 5 Algorithm 6 Proposed Method 6.1 Block Diagram for Extracting Image for Proposed Method 7 Results and Analysis 8 Conclusion References Performance Enhancement of Wireless Systems Using Hybrid RIS Technique 1 Introduction 2 Literature Review 3 Existing Method 4 Proposed Method 4.1 Implementation 5 Results and Analysis 6 Conclusion References Creation of a Platform for Artisans to Promote Their Product Using Blockchain as NFT 1 Introduction 2 Research Objective 3 Related Work 4 Preliminaries 5 Proposed Work 5.1 BPFA Architecture 5.2 Flowchart 5.3 Sequence Diagram 6 Process of Creating and Listing NFT 7 Conclusion References Face Recognition Based Home Security System to Detect Usual/Unusual person Using IoT 1 Introduction 2 Literature Review 3 Proposed System 4 Hardware Description 5 Objectives 6 Methodology 7 Flowchart of the Implementation 8 Implementation and Working of the System 9 Conclusion References Automatic Detection and Cleaning of Manhole Blockages Using IoT 1 Introduction 2 Literature Survey 3 Existing System 4 Proposed System 5 Objectives 6 Methodology 7 Hardware and Software Requirements 8 Implementation and Working of the System 9 Conclusion 10 Future Scope References Design and Implementation of a Smart Door Locking System with Automatic Appliance Switching 1 Introduction 2 Literature Review 3 Existing System 4 Proposed System 5 Hardware Description 6 Objectives 7 Methodology 8 Flowchart Construction 9 Implementation and Working of the Smart Home System 10 Conclusion References Dynamic Game Difficulty Adjustment Based on Facial Emotion Recognition 1 Introduction 2 Related Work 3 Methodology 4 Implementation Details 5 Result Analysis 6 Conclusion References Parallel Implementation of PageRank Based K-Means Clustering on a Multithreaded Architecture 1 Introduction 1.1 Graph and Its Applications 1.2 Importance of Clustering Graphs 1.3 K-Means Clustering Algorithm 1.4 PageRank 1.5 Contributions 2 Related Work 3 Sequential K-Means Clustering Algorithm Using PageRank 3.1 Parallel K-Means Clustering Algorithm Using PageRank 4 Implementation Details 4.1 Platform 4.2 Dataset 4.3 Dataset Description 4.4 Libraries Used 5 Result Analysis 6 Conclusion References ZACube-2 Mission Operations Analysis 1 Introduction 2 Methodology for Resource Budgets Analysis 2.1 Power Budget 2.2 Thermal Budget 2.3 Link Budget 3 Discussion of Results 3.1 Power Budget 3.2 Thermal Budget 3.3 Link Budget 4 Conclusion 4.1 Power Budget 4.2 Thermal Budget 4.3 Link Budget 5 Recommendations for Future Work References A Novel Approach for Speech Emotion Recognition with Facial Expression Analysis 1 Introduction 2 Related Work 3 Proposed Work 3.1 Speech Emotion Recognition 3.2 Face Emotion Recognition 4 Experimental Setup 5 Conclusion References Effect of Environment on Students Performance Through Orange Tool of Data Mining 1 Introduction 1.1 Dataset 2 Feature Selection and Data Cleaning 3 Methodology 4 Result 5 Conclusion References Phishing Email Mitigation Technique Using Back-Propagation Neural Network for Cyber Space 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Proposed Model 3.2 Features Used in Classification 3.3 Artificial Neural Network 3.4 Datasets 4 Results and Analysis 5 Conclusion References Crime Visualization and Forecasting Using Machine Learning 1 Introduction 1.1 Work Objective 2 Related Work 3 Preliminary 3.1 Logistic Regression 3.2 K-Nearest Neighbor (KNN) 4 Proposed Solution 4.1 Architecture Diagram 4.2 Use Case Diagram 4.3 Data Collection 4.4 Data Cleaning and Optimization 4.5 Methodology 4.6 Data Prediction and Visualization 5 Result 6 Comparison 7 Conclusion References An Empirical Comparison of Classification Machine Learning Models Using Medical Datasets 1 Introduction 1.1 Logistic Regression 1.2 Decision Tree 1.3 Support Vector Machine 1.4 Naive Bayes Classifier 1.5 K-Nearest Neighbors 1.6 Random Forests 2 Related Work 3 Proposed Work 4 Results and Discussion 5 Conclusion References Risk Prediction of Chronic Kidney Disease Using Machine Learning Algorithms 1 Introduction 2 Problem Statement 2.1 Existing System 2.2 Proposed System 3 System Design 4 Methodology 5 Results References Sandalwood Tree Deduction Using Deep Learning 1 Introduction 2 Problem Statement 3 Aims and Objectives 4 Motivation 5 Existing System 6 Proposed System 7 Methodology 7.1 Sandalwood Spike Disease Detection 7.2 Sandalwood Age Detection 7.3 Sandalwood Oil Extraction 8 Software Requirements Functional Requirements 9 System Design and Implementation 10 Conclusion References Aspect-Based Sentiment Analysis: A Survey of Deep Learning Methods 1 Introduction 2 Problem Statement 2.1 Existing System 2.2 Proposed System 3 Literature Survey 4 Methodology 5 Results References Phishing Attack Detection Using Machine Learning 1 Introduction 2 Literature Survey 3 Objectives 3.1 Existing System 3.2 Proposed Approach 3.3 Advantage of Proposed System 3.4 Block Diagram 4 Methodology 5 Machine Learning Algorithms 5.1 Logistic Regression 5.2 K-Nearest Neighbors Classifier 5.3 Support Vector Machine Classifier 5.4 Naïve Bayes Classifier 5.5 Decision Tree Classifier 5.6 Random Forest Classifier 5.7 Gradient Boosting Classifier 5.8 CatBoost Classifier 5.9 Extreme Gradient Boosting (XGBoost) XGB Classifier 5.10 Multi-layer Perceptron Classifier 6 Performance Evaluation 7 Conclusion References Smart Farming Assistance with Plant Disease Detection Using Deep Learning 1 Introduction 2 Problem Statement 2.1 Existing System 2.2 Proposed System 3 System Design 3.1 Crop Recommendation 3.2 Performance Evaluation of the Algorithms Used 3.3 Plant Disease Detection 3.4 Validation Accuracy and Loss 4 Results 5 Conclusion 6 Future Scope References Malpractice Detection System for Online Examination Using AI 1 Introduction 1.1 Need For Prediction 2 Machine Learning Techniques 2.1 OpenCV 2.2 Convolutional Neural Network (CNN) 3 Objectives 4 Module Specification 5 Proposed Work 6 Experimental Results 7 Conclusion and Future Scope References Deep Learning Approach in Alzheimer’s Phase Classification and Analytical Prediction in COVID-19 Sequencing 1 Introduction 2 Objective 3 Problem Statement 4 Related Work 5 Proposed System 6 Architecture 7 System Design 8 Conclusion References Voice-Controlled Robot for Surveillance 1 Introduction 2 Literature Survey 3 Methodology 4 Components and Materials 4.1 Chassis 4.2 DC Motor 4.3 Wheels 4.4 L298D Motor Driver 4.5 PI Camera 4.6 Raspberry Pi 3 Model+ 5 Implementation 6 Results and Discussions 7 Conclusion References Automated Proctoring System to Detect Anomalous Behavior in E-learning During Times of Crisis 1 Introduction 2 Problem Statement 3 Scope 4 Review of Literature 5 System Requirement Specification 6 System Architecture 7 Dataflow Diagram 8 Results 9 Conclusion and Future Work 10 Future Work References Squid Game Implementation Using Advanced Open Computer Vision and Music Synchronization 1 Introduction 2 Existing System 3 Proposed System 4 System Design 5 Module Description 5.1 Media Pipe 5.2 Tkinter 5.3 Multi-threading 6 Methodology 7 Experiment and Result 8 Conclusion References