Intelligent technologies for automated electronic systems / S. Kannadhasan [and four others].

Format:

Book

Author/Creator:

Kannadhasan, S., author.

Series:

Advanced Technologies for Science and Engineering Series

Language:

English

Subjects (All):

Automation.

Cloud computing.

Machine learning.

Predictive analytics.

Physical Description:

1 online resource (234 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers, [2024]

Summary:

This volume explores a diverse range of applications for automated machine learning and predictive analytics. The content provides use cases for machine learning in different industries such as healthcare, agriculture, cybersecurity, computing and transportation. Chapter 1 introduces an innovative device for automatically notifying and analyzing the impact of automobile accidents. Chapter 2 focuses on the detection of malaria using systematized image processing techniques. In Chapter 3, an intelligent technique based on LMEPOP and fuzzy logic for the segmentation of defocus blur is discussed. Predictive analytics is introduced in Chapter 4, providing an overview of this emerging field. Chapter 5 delves into discrete event system simulation, offering insights into its applications. The performance analysis of different hypervisors in OS virtualization is explored in Chapter 6. Load balancing in cloud computing is the subject of investigation in Chapter 7. Chapter 8 presents a survey on a facial and fingerprint-based voting system utilizing deep learning techniques. Chapter 9 explores IoT-based automated decision-making with data analytics in agriculture. Biometric recognition through modality fusion is investigated in Chapter 10. Chapter 11 offers a new perspective on evaluating machine learning algorithms for predicting employee performance. Pre-process methods for cardiovascular diseases diagnosis using CT angiography images are discussed in Chapter 12. Chapter 13 presents the implementation of a smart wheelchair using ultrasonic sensors and LabVIEW. Cryptography using the Internet of Things is the focus of Chapter 14. Chapter 15 explores machine learning applications for traffic sign recognition, and the book concludes with Chapter 16, which analyzes machine learning algorithms in healthcare. The book is a resource for academics, researchers,

educators and professionals in the technology sector who want to learn about current trends in intelligent technologies.

Contents:

Cover

Title

Copyright

End User License Agreement

Contents

Preface

List of Contributors

Innovative Device for Automatically Notifying and Analyzing the Impact of Automobile Accidents

R. Kabilan1,*, R. Ravi1,2, R. Mallika Pandeeswari1 and S. Shargunam1

INTRODUCTION

LITERATURE SURVEY

Prototyping an Automatic Notification Scheme for Traffic Accidents in Vehicular Networks

Emergency Services in Future Intelligent Transportation Systems Based on Vehicular Communication Networks

National Highway Traffic Safety Administration

Geometry and Motion-based Positioning Algorithms for Mobile Tracking in NLOS Environments

PROPOSED SYSTEM

Block Diagram for Vehicle Section

Block Diagram for Other Vehicle Section

ARM

Crash Sensor

MEMS Sensor

DC Motor

Circuit Diagram for Vehicle Section

Relay

MAX 232

GSM

GSM Interfacing with ARM

ZIGBEE

BUZZER

RESULTS AND DISCUSSION Generated by AI.

Notes:

Includes bibliographical references.

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:

9789815179514

9815179519

OCLC:

1427662710