Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 593
Editat de Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthisen Limba Engleză Paperback – 24 aug 2024
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.
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Specificații
ISBN-13: 9783031639883
ISBN-10: 303163988X
Pagini: 550
Ilustrații: XX, 522 p.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 303163988X
Pagini: 550
Ilustrații: XX, 522 p.
Dimensiuni: 155 x 235 mm
Ediția:2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Locul publicării:Cham, Switzerland
Cuprins
.- 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.
.- 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.