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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (Studies in Computational Intelligence, 721)
LYD 762
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This book presents research findings concerning all aspects of computer and information science.
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Product Details
- This book gathers 14 of the most promising papers presented at the 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2017), which was held on June 26–28, 2017 in Kanazawa, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. The book presents research findings concerning all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered along the way, as well as the solutions adopted to solve them.
| Publisher | Springer |
| Publication date | July 4, 2017 |
| Edition | 1st ed. 2018 |
| Language | English |
| Print length | 226 pages |
| ISBN-10 | 3319620479 |
| ISBN-13 | 978-3319620473 |
| Item Weight | 1.25 pounds (570 grams) |
| Dimensions | 6.25 x 0.75 x 9.25 inches (15.9 x 1.9 x 23.5 cm) |
| Part of series | Studies in Computational Intelligence |
Product Description
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (Studies in Computational Intelligence, 721)
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Roger Lee (Editor) Format: Hardcover Intelligence & Semantics Editorial Review
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LYD 762
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Features & Benefits
- Features 14 promising papers from the SNPD 2017 conference.
- Covers software engineering, AI, networking, and distributed computing.
- Brings together researchers, scientists, and students in the field.
- Discusses practical challenges and solutions in computer science.
- Ideal for professionals, academics, and students looking to expand their knowledge.
- Essential resource for advancing understanding in computational intelligence.
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