Mobile and Ubiquitous Systems: Computing, Networking and Services

20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I

Häftad, Engelska, 2024

Del 593 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-07-19
Mått:155 x 235 x 31 mm
Vikt:855 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:550
Förlag:Springer International Publishing AG
ISBN:9783031639883

Utforska kategorier

Hårdvara inom Data och IT
Operativsystem inom Data och IT

Innehållsförteckning

.- 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 6GSpace-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.