Empowering sustainable industrial 4.0 systems with machine intelligence / Muneer Ahmad, and Noor Zaman Jhanjhi, editor.

Format:

Book

Contributor:

Jhanjhi, Noor Zaman, editor.

Ahmad, Muneer, editor.

Language:

English

Subjects (All):

Artificial intelligence--Industrial applications.

Artificial intelligence.

Management information systems.

Sociotechnical systems.

Physical Description:

21 PDFs (315 pages)

Place of Publication:

Hershey, Pennsylvania : IGI Global, [2022]

System Details:

Mode of access: World Wide Web.

Summary:

"This book addresses a wide range of topics related to industry 4.0 issues, its challenges and employment of smart and intelligent solutions to contain the errors and their impacts affecting stakeholders of such systems including, health industry, pharmaceutical industry, education industry, defense systems, manufacturing industry, logistic support systems, supply chain management, social media industry, and disaster management systems etc"

Contents:

Chapter 1. Time-series analysis and prediction of water quality through multisource data

Chapter 2. Temporal analysis and prediction of ambient air quality using remote sensing, deep learning, and geospatial technologies

Chapter 3. Automated multi-sensor board for IoT and ML-enabled livestock monitoring

Chapter 4. How artificial intelligence can enhance predictive maintenance in smart factories

Chapter 5. A review of artificial intelligence models in prognosticating abdominal aorta aneurysms

Chapter 6. Enhanced water quality monitoring and estimation using a multi-modal approach

Chapter 7. Machine intelligence in customer relationship management in small and large companies

Chapter 8. Machine intelligence as a foundation of self-driving automotive (SDA) systems

Chapter 9. Machine learning-based wearable devices for smart healthcare application with risk factor monitoring

Chapter 10. Predicting the early stage of diabetes and finding the association of the symptoms

Chapter 11. Role of machine learning in handling the COVID-19 pandemic

Chapter 12. A rural healthcare mobile app: urdu voice-enabled mobile app for disease diagnosis.

Notes:

Description based on print version record.

Includes index.

Includes bibliographical references and index.

ISBN:

1-7998-9204-2

1-7998-9203-4

OCLC:

1310045677