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Internet of Things - ICIOT 2023 8th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Shenzhen, China, December 17-18, 2023, Proceedings
Title
Internet of Things - ICIOT 2023 [electronic resource] : 8th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Shenzhen, China, December 17-18, 2023, Proceedings / edited by Kejiang Ye, Liang-Jie Zhang.
ISBN
9783031517341
Edition
1st ed. 2024.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Physical Description
1 online resource (XIII, 101 p.) 35 illus., 25 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book constitutes the refereed proceedings of the 8th International Conference on Internet on Things, ICIOT 2023, held as part of SCF 2023, in Shenzhen, China, during December 17-18, 2023. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The papers cover topics in the field of sensors and other types of sensing devices, wired and wireless networks, platforms and tools, data processing/visualization/analysis and integration engines.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 23, 2024
Series
Lecture Notes in Computer Science, 14208
Contents
A Survey on Security in Data Transmission in IoT: Layered Architecture
A Location Recommendation Model Based on User Behavior and Sequence Influence
GPChain: Optimizing Cross-Shard Transactions and Load Imbalance in Sharded Blockchain Networks
Distributed Photovoltaic Power Generation Prediction Based on Feature Extraction and Multi-Model Fusion
A Pioneering Approach to Data Integration at Shanghai Exchange Group
Secure Data Provenance and Semantic Interoperability Model for Big-Data In IoT: A Healthcare Perspective
DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant
Multi-Agent DSS for Smart Government Crisis Management.
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