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

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

Av Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis

1 309 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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

Utgivningsdatum2024-07-19
Mått155 x 235 x 31 mm
Vikt855 g
FormatHäftad
SpråkEngelska
SerieLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor550
FörlagSpringer International Publishing AG
ISBN9783031639883

Tillhör följande kategorier

Operativsystem inom Data och it
Hårdvara inom Data och it

.- 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.