Proceedings of the International Symposium on Intelligent Computing and Networking 2024

(ISICN 2024)
Herausgegeben:Kadoch, Michel; Lu, Kejie; Ye, Feng; Qian, Yi

• Broschiertes Buch

Produktbeschreibung

International Symposium on Intelligent Computing and Networking 2024 (ISICN 2024), March 18-20, 2024; San Juan, Puerto Rico. Intelligent computing and networking is a rapidly growing area that has attracted significant attention due to its potential impact on the quality of service of applications for B5G/6G networks and the future Internet. To enable intelligent computing and networking, it is necessary to integrate technologies from the fields of communications, networking, computing, artificial intelligence, and numerous other fields. The scope of the symposium covers all enabling technologies for intelligent computing and networking. This book includes a huge variety of topics ranging from communications, computing, and networking to services and applications of artificial intelligence. Intended readership includes engineers and researchers in artificial intelligence, intelligent computing and networking areas. Targeted primary market will be professors, graduate students, and senior undergraduate students as well as research engineers. Targeted secondary market will be industry managers, consultants, and government research agencies in the related fields.

Produktdetails

• Lecture Notes in Networks and Systems 1094
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-67446-4
• 2024
• Seitenzahl: 430
• Erscheinungstermin: September 2024
• Englisch
• Abmessung: 24mm x 155mm x 235mm
• Gewicht: 675g
• ISBN-13: 9783031674464
• Artikelnr.: 71166124

Inhaltsangabe

LSTM model for Sepsis Detection and Classification using PPG signals.- Fair and Efficient Traffic Light Control with Reinforcement Learning.- Advancing Networked Airborne Computing with mmWave for Air to Air Communications.- A Software Defined Radio Testbed to Analyze the Performance of Channel Estimation in MIMO Systems.

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LSTM model for Sepsis Detection and Classification using PPG signals.- Fair and Efficient Traffic Light Control with Reinforcement Learning.- Advancing Networked Airborne Computing with mmWave for Air to Air Communications.- A Software Defined Radio Testbed to Analyze the Performance of Channel Estimation in MIMO Systems.