Fuzzy intelligent systems methodologies, techniques, and applications
Intro - Title Page - Copyright - Preface - 1 Fuzzy Fractals in Cervical Cancer - 1.1 Introduction - 1.2 Methods - 1.3 Maximum Modulus Theorem - 1.4 Results - 1.5 Conclusion - References - 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network - 2.1 Introduction - 2.2 Related Wo...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Hoboken, NJ Beverly, MA
Wiley Scrivener Publishing
2021
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| Schriftenreihe: | Artificial intelligence and soft computing for industrial transformation
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| 520 | 3 | |a Intro - Title Page - Copyright - Preface - 1 Fuzzy Fractals in Cervical Cancer - 1.1 Introduction - 1.2 Methods - 1.3 Maximum Modulus Theorem - 1.4 Results - 1.5 Conclusion - References - 2 Emotion Detection in IoT-Based E-Learning Using Convolution Neural Network - 2.1 Introduction - 2.2 Related Works - 2.3 Proposed Methodology - 2.4 Experimental Results - 2.5 Conclusions - References - 3 Fuzzy Quotient-3 Cordial Labeling of Some Trees of Diameter 5-Part III - 3.1 Introduction - 3.2 Related Work - 3.3 Definition - 3.4 Notations - 3.5 Main Results - 3.6 Conclusion - References - 4 Classifying Fuzzy Multi-Criterion Decision Making and Evolutionary Algorithm - 4.1 Introduction - 4.2 Multiple Criteria That is Used for Decision Making (MCDM) - 4.3 Conclusion - References - 5 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5 - 5.1 Introduction - 5.2 Main Result - 5.3 Conclusion - References - 6 Fuzzy Tri-Magic Labeling of Isomorphic Caterpillar Graph of Diameter 5 - 6.1 Introduction - 6.2 Main Result - 6.3 Conclusion - References - 7 Ceaseless Rule-Based Learning Methodology for Genetic Fuzzy Rule-Based Systems - 7.1 Introduction - 7.2 Existing Technology and its Review - 7.3 Research Design - 7.4 Findings or Result Discussion so for in the Area of GFS Hybridization - 7.5 Conclusion - References - 8 Using Fuzzy Technique Management of Configuration and Status of VM for Task Distribution in Cloud System - 8.1 Introduction - 8.2 Literature Review - 8.3 Logic System for Fuzzy - 8.4 Proposed Algorithm - 8.5 Results of Simulation - 8.6 Conclusion - References - 9 Theorems on Fuzzy Soft Metric Spaces - 9.1 Introduction - 9.2 Preliminaries - 9.3 FSMS - 9.4 Main Results - 9.5 Fuzzy Soft -Contractive Type Mappings and - Admissible Mappings - References. | |
| 700 | 1 | |a Chandrasekaran, E. |4 ctb | |
| 700 | 1 | |a Anandan, R. |e Sonstige |4 oth | |
| 700 | 1 | |a Suseendran, G. |4 ctb | |
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Datensatz im Suchindex
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| author2 | Chandrasekaran, E. Suseendran, G. Balamurugan, S. Appavu Alias 1985- Hachimi, Hanaa |
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| id | DE-604.BV049324404 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T09:56:53Z |
| institution | BVB |
| isbn | 9781119763437 |
| language | English |
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| psigel | ZDB-35-UBC ZDB-35-UBC UBR EBS Auswahl 2022 |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley Scrivener Publishing |
| record_format | marc |
| series2 | Artificial intelligence and soft computing for industrial transformation |
| spellingShingle | Fuzzy intelligent systems methodologies, techniques, and applications |
| title | Fuzzy intelligent systems methodologies, techniques, and applications |
| title_auth | Fuzzy intelligent systems methodologies, techniques, and applications |
| title_exact_search | Fuzzy intelligent systems methodologies, techniques, and applications |
| title_full | Fuzzy intelligent systems methodologies, techniques, and applications |
| title_fullStr | Fuzzy intelligent systems methodologies, techniques, and applications |
| title_full_unstemmed | Fuzzy intelligent systems methodologies, techniques, and applications |
| title_short | Fuzzy intelligent systems |
| title_sort | fuzzy intelligent systems methodologies techniques and applications |
| title_sub | methodologies, techniques, and applications |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781119763437 |
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