Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Muneer Ahmad, Noor Zaman
Release Date: April, 2022|Copyright: © 2022 |Pages: 315
DOI: 10.4018/978-1-7998-9201-4
ISBN13: 9781799892014|ISBN10: 1799892018|ISBN13 Softcover: 9781799892021|EISBN13: 9781799892038
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Description & Coverage
Description:

The recent advancement of industrial computerization has significantly helped in resolving the challenges with conventional industrial systems. The Industry 4.0 quality standards demand smart and intelligent solutions to revolutionize industrial applications. The integration of machine intelligence and internet of things (IoT) technologies can further devise innovative solutions to recent industrial application issues.

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence assesses the challenges, limitations, and potential solutions for creating more sustainable and agile industrial systems. This publication presents recent intelligent systems for a wide range of industrial applications and smart safety measures toward industrial systems. Covering topics such as geospatial technologies, remote sensing, and temporal analysis, this book is a dynamic resource for health professionals, pharmaceutical professionals, manufacturing professionals, policymakers, engineers, computer scientists, researchers, instructors, students, and academicians.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Air Quality
  • Artificial Intelligence
  • Customer Relationship Management
  • Geospatial Technologies
  • Internet of Things
  • Livestock Monitoring
  • Machine Intelligence
  • Machine Learning
  • Predictive maintenance
  • Remote Sensing
  • Smart Healthcare
  • Temporal Analysis
  • Water Quality Monitoring
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Editor/Author Biographies

Muneer Ahmad completed his Master's degrees in Mathematics (1999) and Computer Science (2002) from Punjab University and Islamia University, Pakistan, respectively. Later, he got his MPhil (MS, 2006) degree in Computer Science from COMSATS University, Pakistan. He completed his Ph.D. (2015) from Universiti Teknologi PETRONAS, Malaysia in Computer Science. Dr. Muneer Ahmad has authored numerous research articles in reputed journals indexed in WoS and Scopus. Dr. Muneer also secured a research grant of approximately 350, 000 SAR in numerous research projects. His research interests are in the discipline of data science that includes applied machine learning applications in pattern recognition, image processing, signal analysis, e-commerce, cybersecurity, edge computing, and cloud computing. He is investigating machine learning, deep learning, and data-driven approaches to propose optimized solutions in different areas of computing. The long-term goal of his research is to develop enhanced and novel solutions that add values to industry 4.0 applications.

Dr. Noor Zaman received a Ph.D. degree in IT from UTP, Malaysia. He has great international exposure in academia, research, administration, and academic quality accreditation. He was with ILMA University, KFU for a decade, and is currently with Taylor’s University, Malaysia. He has 19 years of teaching and administrative experience. Besides scientific research activities, he had worked a decade for academic accreditation and earned ABET accreditation twice for three programs at CCSIT, King Faisal University, Saudi Arabia. Dr. Noor Zaman has recently been awarded as a top reviewer (1% globally) by WoS/ISI (Publons). He has edited/authored more than 11 research books with international and reputed publishers, earned several research grants, and has a great number of indexed research articles on his credit. He has supervised several postgraduate students including masters and Ph.D candidates. He is an Associate Editor of IEEE ACCESS, Guest editor of several reputed journals, member of the editorial board of several research journals, and an active TPC member of reputed conferences around the globe.
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