Computational Intelligence in Sustainable Computing and Optimization (eBook, ePUB)

Trends and Applications
Redaktion: Balusamy, Balamurugan; K, Brindha; Senthilkumar, Sudha; Dhanaraj, Rajesh Kumar; Ravi, Vinayakumar

• Format: ePub

Produktbeschreibung

Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. - Presents computational, intelligence-based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial management - Develops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources - Includes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 250
• Erscheinungstermin: 8. Oktober 2024
• Englisch
• ISBN-13: 9780443237256
• Artikelnr.: 72242008

Inhaltsangabe

1. Journey of Computational intelligence in sustainable computing and
optimization techniques: An introduction
2. Designing computational intelligence techniques based smart framework
for Sustainable Computing
3. Multiple Parameter Optimization Methods Based on Computational
Intelligence Techniques in Context of Sustainable Computing
4. IoT based vulnerability assessment for sustainable computing:
threats, current solutions, and open challenges
5. Amalgamation of optimization techniques in big data analytics through
granular computing: A roadmap to smart industry framework
6. Computational intelligence for data analysis in pattern recognition
and Biomedical imaging
7. A block chain and artificial intelligence enabled smart IoT framework
for the development of sustainable city
8. Computational intelligence-based heuristic approach for maximizing
energy efficiency in Sustainable Transportation and Mobility
9. Computational Intelligence for sustainable computing in Health Care
informatics
10. Computational Intelligence for sustainable computing in traditional
medical system Ayurveda
11. Computational intelligence approach for anomaly detection and
prediction in health care information
12. Artificial Intelligence based Computational intelligence solution for
robotics automation
13. Developing Green Computing Awareness based on optimization techniques
for Environmental Sustainability
14. Bio-inspired meta-heuristic algorithm for solving engineering
optimization problems based on computational intelligence
15. Secure sharing of health records stored in cloud using cryptographic
secret sharing schemes through computational intelligence: A review
16. Private Blockchain-based Encryption Framework Using Computational
Intelligence Approach