Intro
Preface
Organization
Keynote Address
Industry 4.0 Meets Data Science: The Pathway for Society 5.0
Continual Learning for Intelligent Systems in Changing Environments
Where is the Research on Evolutionary Multi-objective Optimization Heading to?
Designing a Software Framework Based on an Object Detection Model and a Fuzzy Logic System for Weed Detection and Pasture Assessment
An Overview of Machine Learning Based Intelligent Computing and Applications
Semisupervised Learning with Spatial Information and Granular Neural Networks

IoT Based General Purpose Sensing Application for Smart Home Environment
Emerging Topics in Wireless and Network Communications - A Standards Perspective
Emerging Topics in Wireless and Network Communications - A Standards Perspective
Contents
Intelligent Computing
Ensemble Learning Model for EEG Based Emotion Classification
1 Introduction
2 Related Works
3 System Model and Methodology
3.1 Feature Extraction
3.2 Deep Learning Model Implementation
4 Dataset Description
5 Experimental Setup and Results
6 Conclusion
References

Foundation for the Future of Higher Education or 'Misplaced Optimism'? Being Human in the Age of Artificial Intelligence
1 Introduction
2 Education Using Artificial Intelligence (AIEd)
3 Methods
3.1 Search Strategy
3.2 Reliability of Agreement Amongst Raters
3.3 Collection, Codification, and Analysis of Data
3.4 Limitations
4 Results
4.1 Forecasting and Characterising
4.2 Curriculum Technology that Uses Artificial Intelligence
4.3 Constant Re-Evaluation
4.4 A System that May Change to Fit the USER'S Needs
5 Conclusion and Way Forward
References

AI Enabled Internet of Medical Things Framework for Smart Healthcare
1 Introduction
2 AI Based IoMT Health Domains
3 AI Enabled IoMT Architectures for Smart Healthcare Systems
4 Research Challenges of AI Enabled Smart Healthcare Systems
4.1 Data Accuracy
4.2 Data Security
4.3 System Efficiency
4.4 Quality of Service
5 Conclusion
References
Metaverse and Posthuman Animated Avatars for Teaching-Learning Process: Interperception in Virtual Universe for Educational Transformation
1 Introduction
2 Objectives of the Research and Knowledge Gap

3 Methods and Methodology
4 Results and Discussion
4.1 Educational Metaverse: A Categorical Analysis
4.2 A Wide Variety of Virtual Worlds for Use in Education
4.3 Situations for Learning, Tiers of Education, and VR Learning Environments
4.4 Students' Avatars (Digital Personas) in the Metaverse
4.5 Alterations in Educational Multiverse
5 Conclusion and Way Forward
References
Tuning Functional Link Artificial Neural Network for Software Development Effort Estimation
1 Introduction
2 Functional Link ANN-based SDEE