Advances in Parallel Computing Algorithms, Tools and Paradigms

D.J. Hemanth, T.N. Nguyen, J. Indumathi, D. Jude Hemanth, Tu N. Nguyen, Sairamesh Lakshmanan

• Publisher: SAGE Publications Ltd
• Year: 2022
• Print ISBN: 9781643683140
• eBook ISBN: 9781643683157
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

Recent developments in parallel computing for various fields of application are providing improved solutions for handling data. These newer, innovative ideas offer the technical support necessary to enhance intellectual decisions, while also dealing more efficiently with the huge volumes of data currently involved. This book presents the proceedings of ICAPTA 2022, the International Conference on Advances in Parallel Computing Technologies and Applications, hosted as a virtual conference from Bangalore, India, on 27 and 28 January 2022. The aim of the conference was to provide a forum for the sharing of knowledge about various aspects of parallel computing in communications systems and networking, including cloud and virtualization solutions, management technologies and vertical application areas. The conference also provided a premier platform for scientists, researchers, practitioners and academicians to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in this field. More than 300 submissions were received for the conference, from which the 91 full-length papers presented here were accepted after review by a panel of subject experts. Topics covered include parallel computing in communication, machine learning intelligence for parallel computing and parallel computing for software services in theoretical and practical aspects. Providing an overview of recent developments in the field, the book will be of interest to all those whose work involves the use of parallel computing technologies.

Table of contents

• Title Page
• Preface
• Contents
• Performance Analysis of BLDC Motor Using Fuzzy Logic Controllers
• Development of Novel Ensembled Boosting Model (EBM) for Fall Detection
• Smart DS-CDMA Receiver Based on Feed Forward Neural Network
• Prediction on Type-2 Diabetes Mellitus Using Machine Learning Methods
• Deep Learning-Based Solar Activity Prediction Using Sunspot Number and Solar Radio Flux
• Different Approaches on Security, Privacy and Efficient Sharing of Electronic Health Records Using Blockchain Technology
• Decentralized Web Hosting Service Using IPFS and Ethereum Blockchain
• Detecting Abnormalities of Fetal Cardiac Using Deep Learning in Parallel Computing Environment
• Deep Learning Technique Based Character and Speech-to-Text Recognition for Interactive Online Writing with Virtual Pen and Eraser
• Effective Face Mask and Social Distance Detection with Alert System for Covid-19 Using YOLOv5 Model
• Distribution Diversity Method of Feature Optimization (DDMFO) to Defend the Intrusion Practices on IoT Networks
• A Joint Congestion Control Mechanism Through Dynamic Alternate Route Selection Algorithm in IoT Based Wireless Sensor Network
• Network Anomaly Detection Using Hybrid Deep Learning Technique
• Designing Deep Classifier for Effective Detection of Spoof News in Twitter
• An Investigation of Ensemble Learning Algorithms for Fault Diagnosis of Roller Bearing
• Analysis on Characteristics and Management of Retinoblastoma Using Machine Learning
• An IoT Based Complete Automated System to Assist the People During Road Accidents
• Multimodal Machine Learning Framework to Detect the Bipolar Disorder
• An Advanced Solar Tracking System with Computational Optimization
• Comparative Analysis of Predicting the Diabetic Disease Using Machine Learning Techniques
• Comparison of SVM and KNN Classifiers on an EEG Signal with a Simple Dataset
• Early Buddy-A Smart Auto Alarm
• Internet Calling Bell with Two-Way Communication Using Motion Detection Sensor and Facial Recognition
• Automatic Bug Tracking System Using Text Analysis and Machine Learning Predictions
• Predicting Air Pollution Level in Particular Area Using KNN by Comparing Accuracy with SVM
• A Light Gradient Boosting Machine Regression Model for Prediction of Agriculture Insurance Cost over Linear Regression
• Decision Tree Over Support Vector Machine for Better Accuracy in Identifying the Problem Based on the Iris Flower
• Feed Forward Neural Network and K-Nearest Neighbour Based Comparative Accurate Social Media Spam Detection
• Prediction of Likely Customers for Car Industries Using K-Means Clustering Compared with Logistic Regression
• Heart Disease Prediction Using Decision Tree in Comparison with k-Nearest Neighbor to Improve Accuracy
• Predictive Analysis for Identifying Survival of Covid-19 Patients Using Support Vector Machine over Logistic Regression
• Predicting Customer Behaviour Using Self-Oganizing Map and Comparing with K Nearest Neighbour
• Poor Accuracy in Determining Erratic User Behavior in Social Media Networks Using KNN Algorithm Comparing SVM Algorithm
• An Improved Chatbot for Predicting Disease and Medicines Using Natural Language Processing with Fuzzy Logic
• A Novel Analysis of Network Traffic in Distributed Denial of Service (DDoS) Attack to Improve Accuracy Using Extreme Learning Machine Algorithm over Regression Algorithm
• A Novel Approach for Correlation Analysis on FBProphet to Forecast Market Gold Rates with Linear Regression
• Predicting Customer Behaviour Using a Self-Organizing Map and Comparing with Random Forest
• A Novel Approach for Movie Suggestion System with Empirical Risk Minimization and Decision Tree Algorithms
• A Novel Scheme for Efficiency of Customer Loyalties Using Pattern Growth Method with Upper Bound Algorithm
• Strange Approach of Movie Rating Prediction Using Logistic Regression Comparing to Gaussian Naive Bayes Algorithm
• Unique Approach of Movie Rating Prediction Using Support Vector Machine Algorithm and K-Nearest Neighbors Algorithm
• Detection of Tumor for Breast Cancer Patient Using Regression Tree Compared with Linear SVM Algorithm
• Accurate Detection and Classification of Melanoma Skin Cancer Using Decision Tree Algorithm over CNN
• Diabetes Prediction Using Blood Sample Data with Novel Voting Classifier over Random Forest
• Efficient Cloud Environment for Secure User Authentication to Prevent Cyber Attacks Using DES Over AES
• Efficient Cloud Environment to Improve User Authentication to Prevent Cyber Attacks Using DSA over AES
• An Improved Log Loss Stock Market Prediction Using Novel Long Short Term Memory Algorithm in Comparison with Support Vector Machine Algorithm
• An Innovative Analysis of Predicting Melanoma Skin Cancer Using CNN and Random Forest Algorithm
• Analyzing Ola Data for Precise Price Prediction Using XGBoost Technique Comparing with LASSO Regression
• Proposed Novel Methodology for Automatic Drainage Block Identification in Smart Cities Using Internet of Things
• The Functional and Storage Risks Associated to the Size Estimation of Parallel Computing Applications
• Bird Species Identification Using Convolutional Neural Network
• Smart Surveillance System Using Face and Optical Character Recognition for Secure Environment
• Fire Detection Using Deep Convolution Neural Network in Video Streams
• Underwater Fish Species Classification Using Alexnet
• Marine Plastic Detection Using Deep Learning
• Classifications of E-MAIL SPAM Using Deep Learning Approaches
• MIMO-IDMA System Performance for SUI and LTE Frequency Selective Channels
• Trident Fuzzy Aggregation Operators on Right and Left Apex-Base Angles in Parallel Computing
• Smart Stick Using Ultrasonic Sensors for Visually Impaired
• A Secure E-Governance System Using Blockchain Techniques
• Abnormality Detection in Human Action Using Thermal Videos
• Multi-Objective Optimization Technique for Channel Allocation in Wireless Networks
• Smart Household Object Detection Using CNN
• Support Vector Machine-Based Scheme Identification System for the Marginalized People
• Classification of Fertiliser Type Based on Soil Minerals Using Voting Classification Over Decision Tree
• Improved Accuracy for Fake News in Social Media Using Logistic Regression Comparing Naive Bayes Classifier
• Cost Optimization Analysis Using Hybrid Cloud Optimized Cost Scheduling Algorithm for Efficient Packet Delivery
• Comparison of Accuracy Prediction of Medical Insurance Using Decision Tree with K-Nearest Neighbour
• Ola Data Analysis for Dynamic Price Prediction Using Multiple Linear Regression and Random Forest Regression
• Correlation Analysis of Voting Regression and Decision Tree Algorithm to Predict House Price with Improved Accuracy Rate
• A Fraudulent Transaction Prediction in Credit Card by Using Novel LGBA over LR Algorithms
• Design and Implementation of Sales Prediction Model Using Decision Tree Regressor over Linear Regression Towards Increase in Accuracy of Prediction
• Efficient Prediction of Stroke Patients Using Random Forest Algorithm in Comparison to Support Vector Machine
• Efficient Search in Cloud Storage with Reduced Computational Cost Using Token Generation Method over Homomorphic Algorithm
• Damaged Licensed Number Plate Detection Based on Novel Object Oriented Classification with K-Means Algorithm
• Enhancing Real-Time Driver Drowsiness Detection System with Facial Recognition Using Support Vector Machine
• Higher Classification Accuracy of Income Class Using Decision Tree Algorithm over Naive Bayes Algorithm
• Higher Classification of Fake Political News Using Decision Tree Algorithm over Random Forest Algorithm
• Higher Prediction Accuracy on Parkinson Disease Patients Using Random Forest Algorithm over DTA
• Magnetic Resonance Imaging Based Brain Tumor Detection Using Contour Coding Technique and Support Vector Machine
• Improve Accuracy in Prediction of Credit Card Approval Using Novel XGboost Compared with Random Forest
• Classification Model for Tumor Detection in Breast Cancer Patients Using K-Neighborhood and Decision Tree
• Improved Malware Detection for IoT Devices Using Random Forest Algorithm Comparing with Decision Tree Algorithm
• Analyzing Ola Data for Predicting Price Based Trip Distance Using Random Forest and Linear Regression Analysis
• Predict Attacker Behaviour on IDS with High Accuracy Using K-Nearest Neighbor Algorithm
• Prediction of Air Pollution Level in Particular Region Area Using Logistic Regression and Naive Bayes
• Real Estate Price Prediction and Analysis Using Voting Regression Compared with Linear Regression
• Human Emotions Recognition Using Softmax Classifier and Predict the Error Level Using OpenCV Library
• Recognizing Handwritten Digits Using Multi-Dimensional Recurrent Neural Networks Intelligent Character Recognition (ICR) with Improved F-Score Measures
• Host Intrusion Detection System Using Novel Predefined Signature Patterns by Comparing Random Forest over Decision Tree Algorithm
• Subject Index
• Author Index