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Artificial Intelligence and Internet of Things: Proceedings of the 8th International Symposium, MISC 2024, Tamanghasset, Algeria, December 1-3, 2024 [Pehme köide]

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  • Formaat: Paperback / softback, 280 pages, kõrgus x laius: 235x155 mm, 127 Illustrations, color; 22 Illustrations, black and white; XIII, 280 p. 149 illus., 127 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1267
  • Ilmumisaeg: 05-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031821114
  • ISBN-13: 9783031821110
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Artificial Intelligence and Internet of Things: Proceedings of the 8th International Symposium, MISC 2024, Tamanghasset, Algeria, December 1-3, 2024Suurem pilt
  • Formaat: Paperback / softback, 280 pages, kõrgus x laius: 235x155 mm, 127 Illustrations, color; 22 Illustrations, black and white; XIII, 280 p. 149 illus., 127 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1267
  • Ilmumisaeg: 05-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031821114
  • ISBN-13: 9783031821110
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031821110.html
Märksõnad:
This book offers a cutting-edge exploration of key advancements in artificial intelligence, IoT, data science, and their transformative impact on industries, particularly health care, in a rapidly evolving technological landscape. Readers will discover how AI and machine learning drive innovations, from detecting anomalies in satellite systems to enhancing medical diagnostics and treatment precision.

With a focus on real-world applications, the book delves into the integration of IoT systems and cloud computing to streamline business operations and improve efficiency. It also introduces groundbreaking data science techniques for analysis and prediction, making it a valuable resource for professionals, researchers, and students.

Designed for those looking to understand and harness the power of modern technology, this book provides insights that are both practical and forward-looking, equipping readers to address todays challenges and shape the future.

Supervised ML-based Multi-Criteria For Detecting Malicious Nodes in FANET.- A semi-decentralized congestion-free multi-path energy routing for P2P energy trading systems.- Privacy-Preserving Intrusion Detection using FedSplit Learning.- Unveiling Human Activity Patterns in Smart Cities through a CNN-LSTM Approach.- Material Property Prediction with CNN-LSTM Hybrid Models and Periodic Table as Input Representation.- A Combined MaskRCNN-Watershed Model for Colorectal Gland Segmentation from Histological Images.