This book covers a wide range of topics related to the integration of Artificial Intelligence, Big Data, IoT, and Blockchain: From Concepts to Applications. It begins by establishing a solid foundation and introducing the concepts and principles of each technology. The subsequent chapters delve into the various applications and use cases, providing readers with real-world examples of how AI, IoT, and Blockchain can be leveraged to address key challenges in Smart Environments. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science, Artificial Intelligence, and Smart Environments inspire novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. This book reviews the state of the art of big data analysis, Artificial Intelligence, and Smart Environments. It includes issues that pertain to signal processing, probability models, machine learning, data mining, databases, data engineering, pattern recognition, visualization, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. The papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart cities in particular. The authors hope that this book serves as a valuable resource and guide for readers, empowering them to navigate the intricate landscape of Artificial Intelligence, IoT, and Blockchain in Smart Environments. Let the authors embark on this transformative journey together, as the authors explore the concepts and applications that hold the potential to shape the future of Smart Environments. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers, as well as anyone interested in big data analysis and Artificial Intelligence.
Chapter
1. An Extension to Single Events of the MongoDB Atlas Trigger
Scheduling Mechanism.
Chapter
2. Proposed Architecture for Smart Irrigation
System: Leveraging IoT and LoRaWAN.
Chapter
3. Digitalization's Influence on
Audit: Examining the Implications of Big Data and Blockchain
Technology.- Chapter
4. Artificial Intelligence for Auditing.
Chapter
5.
Enhancing Query Processing in Big Data: Scalability and Performance
Optimization.
Chapter
6. Customer Behavior Tracing And Prediction Using
Genetic Algorithm: Review of Literature.
Chapter
7. Combining NLP and
Generative Models for Predicting Incident Category and Incident Routing in
Incidents Management Systems.- Chapter
8. Artificial Intelligence as a Lever
for Optimizing Well-Being at Work.- Chapter
9. The digitalization of social
influence practices in Morocco and its effect on attitudinal change and
purchase behavioral intention.- Chapter
10. Performance improvement of
internet of things by using fuzzy logic.- Chapter
11. Digitalization,
Connectivity, and Smart Cities: The case of Romania.- Chapter
12. Innovation
Strategies and Performance in the Enterprise: An Analysis of Digital
Marketing Role.- Chapter
13. Drivers of EPS Adoption: Exploring the
Influence of Environmental Consciousness, Risk Perception, and
Trust.- Chapter
14. Deep Learning-Based Predictive Analytics for Anomaly
Detection in Big Data Environments.- Chapter
15. XAI for cardiovascular risk
prediction.- Chapter
16. Impact Of The Perceived Congruence Between The
Dominant Color Of The Ad Banner And The Message On Consumer Attitude Towards
The Brand.- Chapter
17. Transforming hospitality: harnessing artificial
intelligence for enhanced guest experience and operational
efficiency.- Chapter
18. Theoretical approach of the contribution of
artificial intelligence systems in value creation in the B2C sales
funnel.- Chapter
19. Understanding and Designing Turing Machines with
innovative applications to Computing.- Chapter
20. Genomic Insights Revealed:
Multiclass DNA Sequence Classification Using Optimized Naive Bayes Modeling.-
Etc...
Yousef FARHAOUI is a Professor at Moulay Ismail University, Faculty of sciences and Techniques, Morocco. He is the Chair of IDMS Team and the Director of STI Laboratory. He obtained his Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, AI, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee and member of the scientific committee of several international congresses. He is also a member of various international associations. He has authored 15 books and several book chapters with Springer and IGI. He has served as a Reviewer for IEEE, IET, Springer, Inderscience and Elsevier Journals. He is also the Guest Editor of several journals like Wiley, Springer, Inderscience, and others. He has been the General Chair, Session Chair, and Panelist in several conferences. He is Senior Member of IEEE, IET, ACM and EAI.
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