LEADER 05520nam 22005175 450 001 9910874665903321 005 20251225202113.0 010 $a3-031-63989-8 024 7 $a10.1007/978-3-031-63989-0 035 $a(MiAaPQ)EBC31534741 035 $a(Au-PeEL)EBL31534741 035 $a(CKB)33063733800041 035 $a(DE-He213)978-3-031-63989-0 035 $a(EXLCZ)9933063733800041 100 $a20240719d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMobile and Ubiquitous Systems: Computing, Networking and Services $e20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14?17, 2023, Proceedings, Part I /$fedited by Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (559 pages) 225 1 $aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v593 311 08$a3-031-63988-X 327 $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 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. 330 $aThese two-volume proceedings constitute the refereed post-conference proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023, held in Melbourne, Australia, during November 14-17, 2023. The 65 papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The conference papers are organized in topical sections on: Part I - Tracking and Detection; IoT; Federated learning; Networks; Activity recognition; Security Management; Urban/Mobile Crowdsensing. Part II - Urban/Mobile Crowdsensing; Edge computing; Crowdsourcing, Platforms and localization; Activity recognition and prediction; AI and machine learning; Mobile edge and fog computing; Mobile augmented reality and applications for mobile computing; interaction technologies; AutoQuitous workshop. 410 0$aLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,$x1867-822X ;$v593 606 $aComputer networks 606 $aComputer Communication Networks 615 0$aComputer networks. 615 14$aComputer Communication Networks. 676 $a004.6 700 $aZaslavsky$b Arkady$0858779 701 $aNing$b Zhaolong$01749248 701 $aKalogeraki$b Vana$01749249 701 $aGeorgakopoulos$b Dimitrios$01711768 701 $aChrysanthis$b Panos K$0963731 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910874665903321 996 $aMobile and Ubiquitous Systems: Computing, Networking and Services$94253429 997 $aUNINA