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Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence

Muneer Ahmad (School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan) and Noor Zaman Jhanjhi (Taylor's University, Malaysia)
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.

Prof. Dr. Noor Zaman Jhanjhi is a distinguished Senior Professor of Computer Science at Taylor’s University, Malaysia, where he specializes in Artificial Intelligence and Cybersecurity. As the Program Director for Postgraduate Research Degree Programmes, he plays a pivotal role in shaping academic excellence and driving cutting-edge research initiatives. Globally acclaimed for his scholarly contributions, Prof. Jhanjhi has been consistently ranked among the world’s top 2% research scientists (2022–2024) and stands as one of Malaysia’s top computer science researchers. His exceptional work has earned him prestigious accolades, including the Outstanding Faculty Member Award (MDEC Malaysia, 2022) and the Vice Chancellor’s Best Research Citations Award (Taylor’s University, 2023). A prolific author and editor, Prof. Jhanjhi has published over 80 research books with leading publishers such as Springer, Elsevier, IGI Global, Bentham, IET, and Wiley, etc. amassing 1,000+ impact factor points. His mentorship spans 45 postgraduate completions, and he has examined 70+ Ph.D. and Master’s theses worldwide. As an Editor-in-Chief, Associate Editor, and Editorial Board member for top-tier journals (PeerJ Computer Science, IEEE Access, CMC Computers), he advances scholarly discourse. His leadership extends to securing 40+ international research grants, underscoring his influence in innovation. A dynamic keynote speaker, Prof. Jhanjhi, has delivered 90+ invited talks and chaired major conferences. His decade-long engagement with ABET, NCAAA, and NCEAC accreditation bodies highlights his dedication to global academic standards. Combining research brilliance, academic leadership, and a passion for mentorship, Prof. Jhanjhi continues to inspire the next generation of computer scientists while shaping the future of AI and cybersecurity.
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