Intelligent and Fuzzy Systems Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Volume 2
This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extens...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer Nature Switzerland
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Lecture Notes in Networks and Systems
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Monitoring Sleep-Related Disorders Via Artificial Intelligence Methods
- The Present and Future Role of Artificial Intelligence in the Promotion of Sustainable Practices in the Construction Sector
- Honeywell Experion Hive As Breakthrough Approach In Control Systems Evolution
- Pathfinding with Dynamic Obstacles
- Application of Digital Twin technology for live Process Control System of industrial facility
- Level of Automation Assessment for Controlled-Environment Hydroponic Agriculture via Fuzzy MCDM Method
- Navigating the Ethics of the Metaverse: A Fuzzy Logic Approach to Decision-Making
- Investigation the activity of medical institutions for hospital care in Bulgaria with the InterCriteria Analysis Method
- On a Hybrid Intuitionistic Fuzzy Method for Breast Cancer Classification
- Assessment of Cancer Detection from CT scan images using Hybrid Supervised Learning methods
- Unlocking Insights into Mental Health and Productivity in the Tech Industry through KDD and Data Visualization
- Prioritization of User Strategies for mHealthcare App Selection
- Fuzzy Numbers and Analysis of Radiological Images
- Analyzing and Responding to Google Maps Reviews with a Chatbot in Healthcare
- A Novel Decision-Making Framework Based on Interval-valued Pythagorean Fuzzy AHP & CODAS: An Application to Healthcare Supplier Selection