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Mobile and ubiquitous systems : computing, networking and services : 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023, Proceedings. Part I / Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis, editors.

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These two-volume proceedings constitute the refereed post-conference proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023, held in Melbourne, Australia, during November 14-17, 2023. The 65 papers presented in thes...

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Bibliographic Details
Online Access: Full Text (via Springer)
Corporate Author: International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services Mebourne, Vic.
Other Authors: Zaslavsky, Arkady (Editor), Ning, Zhaolong (Editor), Kalogeraki, Vana, 1973- (Editor), Georgakopoulos, Dimitrios (Editor), Chrysanthis, Panos K. (Editor)
Other title:MobiQuitous 2023
Format: Conference Proceeding eBook
Language:English
Published: Cham : Springer, 2024.
Series:Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 593.
Subjects:
Mobile communication systems > Congresses.
Ubiquitous computing > Congresses.
Table of Contents:
  • Tracking and Detection.
  • NoD: Lightweight Continuous Neighbor Discovery on Everyday Devices.
  • Decentralized Collaborative Inertial Tracking.
  • High-Performance Features in Generalizable Fingerprint- based Indoor Positioning.
  • SCORE: Scalable Contact Tracing Over Uncertain Trajectories.
  • IoT.
  • FaultBit : Generic and Efficient Wireless Fault Detection Using the Internet of Things.
  • DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data.
  • Federated Reinforcement Learning for Automated LoRaWAN Management in Industrial IoT.
  • A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications.
  • LOADHoC: Towards the Automatic local Distribution of Computation using Existing IoT Devices.
  • E-Go Bicycle Intelligent Speed Adaptation System for Catching the Green Light.
  • Federated Learning.
  • FedGCS: Addressing Class Imbalance in Long-Tail Federated Learning.
  • FedRC: Representational Consistency Guided Model Uploading Mechanism for Asynchronous Federated Learning.
  • RADEAN: A Resource Allocation Model Based on Deep Reinforcement Learning and Generative Adversarial Networks in Edge Computing.
  • Networks.
  • A Stream Data Service Framework for Real-time Vehicle Companion Discovery.
  • KS-Autoformer: An Autoformer-based SOC Prediction Framework for Electric Vehicles.
  • Deep Reinforcement Learning-based Multi-Node Collaborative Task Offloading Optimization in 6G Space-Air-Ground Integrated Networks.
  • Securing Wireless Communication in Critical Infrastructure: Challenges and Opportunities.
  • Activity Recognition.
  • Cross-user activity recognition via temporal relation optimal transport.
  • SelfAct: Personalized Activity Recognition based on Self-Supervised and Active Learning.
  • A Novel Method for Wearable Activity Recognition with Feature Evolvable Streams.
  • Let's Vibrate with Vibration: Augmenting Structural Engineering with Low-Cost Vibration Sensing.
  • Security Management.
  • Research on Data Drift and Class Imbalance in Android Malware detection.
  • Reputation-based Dissemination of Trustworthy Information in VANETs.
  • Reputation Systems for Supply Chains: The Challenge of Achieving Privacy Preservation.
  • Data Management in Appendable-block Blockchains: A Case Study for IT Life-cycle Management.
  • Exploiting the Potential Anomaly Detection in Automobile Safety Data with Multi-type Neural Network.
  • Urban/Mobile Crowdsensing.
  • HAUM3: A Height Aware Urban Map Matching Mechanism.
  • A resource-efficient approach of GNSS activation for pedestrian monitoring.

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