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IoT as a service = 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	IoT as a service/ edited by Xiang Chen ... [et al.].
Reminder of title:	9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023 : proceedings /
remainder title:	IoTaaS 2023
other author:	Chen, Xiang.
corporate name:	IoT as a service (Conference)
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiv, 452 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Optimal Access Point Selection Approach for User-Centric Cell-Free Massive MIMO Systems. -- A lip-print recognition algorithm based on grouped multi-scale feature fusion. -- Highway obstacle recognition based on improved YOLOv7 and defogging algorithm. -- 4th Edge Intelligence and Computing for IoT Communications and Applications. -- Cloud gaming resource management platform based on edge intelligence. -- Hardware-eﬀicient Polar Decoder for 5G Internet of Things Communication. -- Design and Optimization of a Solar-Powered IRS and Relay Assisted MEC System. -- Highway Image Enhancement Method Based on improved Jade -- Research on Borehole Detection in Underground Drilling Based on Spatial 3D Motion Perception. -- Deep Reinforcement Learning-based channel and power allocation in Multibeam LEO Satellite Systems. -- Transmission, access and route technology for Internet of Vehicle. -- CSI-Based signal reconstruction for WiFi Localization An Indoor Navigation Algorithm Using Multi-dimensional Euclidean Distanceand the Adaptive Particle Filter. -- Nonlinear PID Controllers Improved Based on Quad Rotor Aerial. -- Based on the Nonlinear State Equations of 6-DOF nonlinear Robot with Application to Autonomous Flight. -- A Study on Collaborative Lane Change Decision Making of Multi-Automated Vehicles Based on Deep Graph Reinforcement Learning. -- A Short Term Traﬀic Prediction Model Based on Deep Capture of Temporal Periodic Drift. -- Multi-Agent Reinforcement Learning for Cooperative On-Ramp Merging of Connected Automated Vehicles. -- SVM Multi-class Classification method for Device Identification Using Eye Diagram Parameters. -- Users Collaborative Computing for Hierarchical Federated Learning Based on Incentive Mechanism. -- Spatio-Temporal Traﬀic Prediction of Wireless Communication Network Based on Multi-Source Data. -- Flying Ad-Hoc Network Routing Protocol Based on Backward Algorithm. -- A novel HPSO-IGWO algorithm for rapidly searching optimal fire rescue paths based on IoT architecture. -- A Hybrid WOA-MTCNNAlgorithm for Accurate Face Detection Based on IoT Architecture. -- Research on Big Data Information Big Model Processing System of Internet of Things Under Computer Artificial Intelligence Technology. -- Design and Research of Intelligent Sorting Trash Bin Based on IoT. -- The Intelligent Application of IoT and 3D Visualization Technology. -- A New Method of Integrated Radar-Communication System Waveform Design and Signal Processing Based on OFDM Block Subcarrier Allocation. -- A Q-Learning Approach to Energy-Eﬀicient Routing in BLE Mesh Network Based on Duty Cycle Scanning. -- Improved Plate Defect Detection Algorithm Based on YOLOv5. -- HPSO-WOA-SFO: A Novel Hybrid Swarm Intelligence. -- Approach for Enhancing Discrete Road Path Planning. -- Cooperative Coded Caching in Internet of Vehicles based on Coded Prefetching Study on Demand Forecasting and Scheduling Routes of Shared Bicycles. -- Dynamic scheduling strategy based on demand prediction of shared bike. -- Peak Age of Information Optimization: CSMAversus Aloha.
Contained By:	Springer Nature eBook
Subject:	Internet of things - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-70507-6
ISBN:	9783031705076

IoT as a service = 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023 : proceedings /
IoT as a service9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023 : proceedings /[electronic resource] :IoTaaS 2023edited by Xiang Chen ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiv, 452 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,5851867-822X ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;585..

Optimal Access Point Selection Approach for User-Centric Cell-Free Massive MIMO Systems. -- A lip-print recognition algorithm based on grouped multi-scale feature fusion. -- Highway obstacle recognition based on improved YOLOv7 and defogging algorithm. -- 4th Edge Intelligence and Computing for IoT Communications and Applications. -- Cloud gaming resource management platform based on edge intelligence. -- Hardware-eﬀicient Polar Decoder for 5G Internet of Things Communication. -- Design and Optimization of a Solar-Powered IRS and Relay Assisted MEC System. -- Highway Image Enhancement Method Based on improved Jade -- Research on Borehole Detection in Underground Drilling Based on Spatial 3D Motion Perception. -- Deep Reinforcement Learning-based channel and power allocation in Multibeam LEO Satellite Systems. -- Transmission, access and route technology for Internet of Vehicle. -- CSI-Based signal reconstruction for WiFi Localization An Indoor Navigation Algorithm Using Multi-dimensional Euclidean Distanceand the Adaptive Particle Filter. -- Nonlinear PID Controllers Improved Based on Quad Rotor Aerial. -- Based on the Nonlinear State Equations of 6-DOF nonlinear Robot with Application to Autonomous Flight. -- A Study on Collaborative Lane Change Decision Making of Multi-Automated Vehicles Based on Deep Graph Reinforcement Learning. -- A Short Term Traﬀic Prediction Model Based on Deep Capture of Temporal Periodic Drift. -- Multi-Agent Reinforcement Learning for Cooperative On-Ramp Merging of Connected Automated Vehicles. -- SVM Multi-class Classification method for Device Identification Using Eye Diagram Parameters. -- Users Collaborative Computing for Hierarchical Federated Learning Based on Incentive Mechanism. -- Spatio-Temporal Traﬀic Prediction of Wireless Communication Network Based on Multi-Source Data. -- Flying Ad-Hoc Network Routing Protocol Based on Backward Algorithm. -- A novel HPSO-IGWO algorithm for rapidly searching optimal fire rescue paths based on IoT architecture. -- A Hybrid WOA-MTCNNAlgorithm for Accurate Face Detection Based on IoT Architecture. -- Research on Big Data Information Big Model Processing System of Internet of Things Under Computer Artificial Intelligence Technology. -- Design and Research of Intelligent Sorting Trash Bin Based on IoT. -- The Intelligent Application of IoT and 3D Visualization Technology. -- A New Method of Integrated Radar-Communication System Waveform Design and Signal Processing Based on OFDM Block Subcarrier Allocation. -- A Q-Learning Approach to Energy-Eﬀicient Routing in BLE Mesh Network Based on Duty Cycle Scanning. -- Improved Plate Defect Detection Algorithm Based on YOLOv5. -- HPSO-WOA-SFO: A Novel Hybrid Swarm Intelligence. -- Approach for Enhancing Discrete Road Path Planning. -- Cooperative Coded Caching in Internet of Vehicles based on Coded Prefetching Study on Demand Forecasting and Scheduling Routes of Shared Bicycles. -- Dynamic scheduling strategy based on demand prediction of shared bike. -- Peak Age of Information Optimization: CSMAversus Aloha.

This book constitutes the refereed post-conference proceedings of the 9th EAI International Conference on IoT as a Service, IoTaaS 2023. The conference took place in Nanjing, China, during October 27-29, 2023. The 33 revised full papers were carefully reviewed and selected from 85 submissions. The papers present state-of-the-art research work on the challenges and developments related to IoT systems.

ISBN: 9783031705076

Standard No.: 10.1007/978-3-031-70507-6doiSubjects--Topical Terms:

3135380
Internet of things
--Congresses.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

IoT as a service = 9th EAI International Conference, IoTaaS 2023, Nanjing, China, October 27-29, 2023 : proceedings /
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