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  • Produktbild: Mobile and Ubiquitous Systems: Computing, Networking and Services
  • Produktbild: Mobile and Ubiquitous Systems: Computing, Networking and Services
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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

Aus der Reihe Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Fr. 126.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.07.2024

Abbildungen

XX, 550 p. 209 illus., 178 illus. in color.

Herausgeber

Arkady Zaslavsky + weitere

Verlag

Springer

Seitenzahl

550

Maße (L/B/H)

23.5/15.5/3.1 cm

Gewicht

855 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-63988-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.07.2024

Abbildungen

XX, 550 p. 209 illus., 178 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

550

Maße (L/B/H)

23.5/15.5/3.1 cm

Gewicht

855 g

Auflage

2024

Sprache

Englisch

ISBN

978-3-031-63988-3

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Mobile and Ubiquitous Systems: Computing, Networking and Services
  • Produktbild: Mobile and Ubiquitous Systems: Computing, Networking and Services

  • .- 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.