Mobile and Ubiquitous Systems: Computing, Networking and Services -

Mobile and Ubiquitous Systems: Computing, Networking and Services

20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I
Buch | Softcover
XX, 550 Seiten
2024 | 2024
Springer International Publishing (Verlag)
978-3-031-63988-3 (ISBN)
96,29 inkl. MwSt

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 these proceedings were carefully reviewed and selected from 161 submissions. The conference papers are organized in topical sections on:

 

Part I - Tracking and Detection; IoT; Federated learning; Networks; Activity recognition; Security Management; Urban/Mobile Crowdsensing.

Part II - Urban/Mobile Crowdsensing; Edge computing; Crowdsourcing, Platforms and localization; Activity recognition and prediction; AI and machine learning; Mobile edge and fog computing; Mobile augmented reality and applications for mobile computing; interaction technologies; AutoQuitous workshop.

.- 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 E icient 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-e icient approach of GNSS activation for pedestrian monitoring.

Erscheinungsdatum
Reihe/Serie Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Zusatzinfo XX, 550 p. 209 illus., 178 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Netzwerke
Schlagworte Applications for Mobile Computing • Artificial Intelligence • Interaction Technologies • internet of things • machine learning algorithms • mixed reality • Mobile Augmented Reality • Mobile Edge and Fog Computing • Networks • security management • wearable computing
ISBN-10 3-031-63988-X / 303163988X
ISBN-13 978-3-031-63988-3 / 9783031639883
Zustand Neuware
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