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Computational Intelligence for Wireless Sensor Networks: Principles and Applications (Chapman & Hall/CRC Computational Intelligence and Its Applic) | Hardcover | Artificial Intelligence (Ai)
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Specifications
| publisher | Chapman & Hall |
| isbn13 | 9780367608880 |
| isbn10 | 036760888X |
| binding | hardcover |
| language | english |
| edition | 1 |
| pages | 202 |
| publication_date | 2022-07-25 |
Product Description
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About this book
Computational Intelligence for Wireless Sensor Networks: Principles and Applications (Chapman & Hall/CRC Computational Intelligence and Its Applic) published by Chapman & Hall.
Related topics
fuzzy logic systems, evolutionary algorithms, reinforcement learning, swarm intelligence methods, intrusion detection machine learning, Wireless Sensor Networks, energy-efficient network design, advanced metaheuristic optimisation techniques.
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Computational Intelligence for Wireless Sensor Networks: Principles and Applications (Chapman & Hall/CRC Computational Intelligence and Its Applic) | Hardcover | Artificial Intelligence
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Books
Who Should Read This
Advanced students, researchers, and domain experts seeking in-depth knowledge.
Key Highlights
- ·Brand new physical book delivered across India
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Computational Intelligence for Wireless Sensor Networks: Principles and Applications (Chapman & Hall/CRC Computational Intelligence and Its Applic) | Hardcover | Artificial Intelligence is published by Chapman & Hall.
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Computational Intelligence for Wireless Sensor Networks: Principles and Applications (Chapman & Hall/CRC Computational Intelligence and Its Applic) | Hardcover | Artificial Intelligence has 202 pages.
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About this book
Computational Intelligence for Wireless Sensor Networks: Principles and Applications (Chapman & Hall/CRC Computational Intelligence and Its Applic) published by Chapman & Hall.
Related topics
fuzzy logic systems, evolutionary algorithms, reinforcement learning, swarm intelligence me...
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