06213nam a22004935i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050002000172072001600192072002300208072001500231245033100246250001800577264006900595300006600664336002600730337002600756338003600782347002400818490013100842505264100973520087603614650003204490650004404522700015404566700015104720700015304871700016205024700015705186710003405343773002605377776003605403776003605439830013805475856004605613912001405659912001505673912001405688999001705702978-3-031-63989-0DE-He21320251030112637.0cr nn 008mamaa240719s2024    sz |    s    |||| 0|eng d  a97830316398909978-3-031-63989-07 a10.1007/978-3-031-63989-02doi 4aTK5105.5-5105.9 7aUKN2bicssc 7aCOM0430002bisacsh 7aUKN2thema10aMobile and Ubiquitous Systems: Computing, Networking and Servicesh[electronic resource] :b20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I /cedited by Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXX, 550 p. 209 illus., 178 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v5930 a -- 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.  aThese 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. 0aComputer networks .96015714aComputer Communication Networks.9656891 aZaslavsky, Arkady.eeditor.0(orcid)0000-0003-1990-57341https://orcid.org/0000-0003-1990-57344edt4http://id.loc.gov/vocabulary/relators/edt9808811 aNing, Zhaolong.eeditor.0(orcid)0000-0002-7870-55241https://orcid.org/0000-0002-7870-55244edt4http://id.loc.gov/vocabulary/relators/edt9808821 aKalogeraki, Vana.eeditor.0(orcid)0000-0002-6421-99471https://orcid.org/0000-0002-6421-99474edt4http://id.loc.gov/vocabulary/relators/edt9808831 aGeorgakopoulos, Dimitrios.eeditor.0(orcid)0000-0001-7880-21401https://orcid.org/0000-0001-7880-21404edt4http://id.loc.gov/vocabulary/relators/edt9808841 aChrysanthis, Panos K.eeditor.0(orcid)0000-0001-7189-98161https://orcid.org/0000-0001-7189-98164edt4http://id.loc.gov/vocabulary/relators/edt9808852 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303163988308iPrinted edition:z9783031639906 0aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,x1867-822X ;v59396812140uhttps://doi.org/10.1007/978-3-031-63989-0  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNS  c61737d61737