The book covers soft computing techniques that provide an optimal solution to the optimization problem using single or multiple objectives. The book focuses on basic design principles and analysis of these techniques. These techniques can be used to improve the quality of service in software based on a service-oriented architecture
The book covers soft computing techniques that provide an optimal solution to the optimization problem using single or multiple objectives. The book focuses on basic design principles and analysis of these techniques. These techniques can be used to improve the quality of service in software based on a service-oriented architectureHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Punit Gupta is currently working as associate professor in the department of computer and communication engineering at Manipal University Jaipur, India. Prof. Dinesh Kumar Saini is a full professor at the School of Computing and Information Technology, Manipal University. Dr. Kashif Zia is currently working as an associate professor in the faculty of computing and information technology, Sohar University, Oman.
Inhaltsangabe
1. Soft Computing Techniques Design and Analysis 2. Trends in the Applications of Soft Computing Techniques for IoT 3. Emerging Trends in the Applications of Soft Computing 4. Service-Oriented Computing Challenges, Benefits, and Emerging Trends 5. Role of Soft Computing Methodologies in Service-Oriented Computing 6. Fundamental Principles for Service-Oriented Computing Paradigm 7. Trends and Future Opportunities of Service-Oriented Computing in Social Benefits 8. Cloud Computing Based Service-Oriented Architecture for Agricultural Applications 9. Service-oriented Computing Paradigms: Opportunities and Challenges 10. Smart IoT System for Agricultural Production Improvement and Machine Learning Based Prediction 11. Service Oriented Computing Integration with Soft Computing for Quality-of-Service Improvement 12. Applications of Soft Computing Integration with Cloud, Fog, and IoT 13. Metaheuristic Methodologies in Service-Oriented Computing
1. Soft Computing Techniques Design and Analysis 2. Trends in the Applications of Soft Computing Techniques for IoT 3. Emerging Trends in the Applications of Soft Computing 4. Service-Oriented Computing Challenges, Benefits, and Emerging Trends 5. Role of Soft Computing Methodologies in Service-Oriented Computing 6. Fundamental Principles for Service-Oriented Computing Paradigm 7. Trends and Future Opportunities of Service-Oriented Computing in Social Benefits 8. Cloud Computing Based Service-Oriented Architecture for Agricultural Applications 9. Service-oriented Computing Paradigms: Opportunities and Challenges 10. Smart IoT System for Agricultural Production Improvement and Machine Learning Based Prediction 11. Service Oriented Computing Integration with Soft Computing for Quality-of-Service Improvement 12. Applications of Soft Computing Integration with Cloud, Fog, and IoT 13. Metaheuristic Methodologies in Service-Oriented Computing
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