Advances in Parallel Computing Algorithms, Tools and Paradigms / edited by D. Jude Hemanth [and three others].

Format:

Book

Contributor:

Hemanth, D. Jude, editor.

Series:

Advances in parallel computing ; Volume 41.

Advances in Parallel Computing Series ; Volume 41

Language:

English

Subjects (All):

Parallel processing (Electronic computers)--Congresses.

Parallel processing (Electronic computers).

Physical Description:

1 online resource (670 pages)

Edition:

First edition.

Place of Publication:

Amsterdam, Netherlands : IOS Press BV, [2022]

Summary:

This book presents the proceedings of the International Conference on Advances in Parallel Computing Technologies and Applications (ICAPTA 2022), held virtually in Bangalore, India. It compiles research on recent developments in parallel computing, focusing on systems, networking, cloud solutions, and management technologies. The conference aimed to provide a platform for scientists, researchers, and practitioners to share innovations and address challenges in the field. Topics include machine learning, software services, and the theoretical and practical aspects of parallel computing. The volume is part of the Advances in Parallel Computing series and is intended for professionals and academics involved in high performance and large scale parallel systems. Generated by AI.

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 Generated by AI.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on print version record.

ISBN:

1-64368-315-2

OCLC:

1354209173