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    <title>Mobile and Ubiquitous Systems: Computing, Networking and Services</title>
    <subTitle>20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part II</subTitle>
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    <namePart>Zaslavsky, Arkady.</namePart>
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    <namePart>Ning, Zhaolong.</namePart>
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    <namePart>Georgakopoulos, Dimitrios.</namePart>
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    <namePart>Chrysanthis, Panos K.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XX, 552 p. 182 illus., 164 illus. in color. online resource.</extent>
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  <abstract>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.</abstract>
  <tableOfContents> -- Urban/Mobile Crowdsensing.  -- A Data-driven Study on Pedestrian Walking Behaviour as Transitioning Different Spaces.  -- Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors.  -- MyPath: Accessible Route Generation using Crowd-sensed Surface Information.  -- Edge Computing.  -- Shepard: Dynamic Placement of Microservices in the Edge-Cloud Continuum.  -- Minimizing Data Retrieval Delay in Edge Computing.  -- Bringing the Edge Home: Edge Computing in the Era of Emerging WLANs.  -- Crowdsourcing, Platforms and Localization.  -- A Novel Task Assignment Adjustment Method in Spatial-temporal Crowdsourcing.  -- PPS: A Publish-Process-Subscribe Middleware For Predictive Supply Chains.  -- Gestalt Perceptual Calibration for Multi-agent Collaborative Localization.  -- Activity Recognition and Prediction.  -- Traﬀic Flow Prediction Using Uber Movement Data.  -- Fingertip Air-Writing with Ambient Light.  -- Global Optimal PnP Algorithm with Reverse Projection Error.  -- Proposal of Word Prediction Method for Gaze Swipe Text Entry.  -- AI and Machine Learning.  -- Integrating Social Environment in Machine Learning Model for Debiased Recommendation.  -- A Novel Deep Learning Model for Smartphone-based Human Activity Recognition.  -- AIMSafe: EEG-based Driver Behavior Understanding via Attention and Incremental Learning Mechanisms.  -- A multi-task learning framework with features based on behavioral pattern conversation.  -- Eﬀicient Parcel Damage Detection via Faster R-CNN: A Deep Learning Approach for Logistical Parcels’ Automated Inspection.  -- Fall Detection and Assessment using Multitask Learning and Micro-Sized LiDAR in Elderly Care.  -- Online Dynamic Path Planner for UAVs.  -- Mobile Edge and Fog Computing.  -- Achieving Observability on Fog Computing with the use of open-source tools.  -- Adaptive QoS-aware Task Offloading in Dynamic Mobile Edge Computing Environment.  -- Discretization-based ensemble model for robust learning in IoT.  -- Flute: Enabling a Battery-free and Energy Harvesting Ecosystem for the Internet of Things.  -- Exploring Optimal Placement of Head-based Hierarchical Marking Menus on Smartphones.  -- SDN-DMQTT : SDN-based Platform for Re-configurable MQTT Distributed Brokers Architecture.  -- Mobile Augmented Reality and Applications for Mobile Computing.  -- Quality Evaluation of Image Segmentation in Mobile Augmented Reality.  -- Reading The Mind’s Eye: Detecting Trauma-Vulnerability In Individuals By Analyzing Attention Through Eye-Tracking.  -- GUI2DSVec: Detecting Visual Design Smells Based on Semantic Embedding of GUI Images and Components.  -- Interaction Technologies.  -- Mobile user experience from the lens of project-based learning.  -- Usability Evaluation of NOW Interactions.  -- QA Reasoning Enhancement Model Based on the Fusion of Dictionary and Hierarchical Directed Graph.  -- AutoQuitous Workshop.  -- Towards Distributed Control under Deficient Communication with Mutli-agent Reinforcement Learning.  -- Deep Learning Based Radio Frequency Fingerprint Identification By Exploiting Spatial Stereoscopic Features.  -- Modeling Emergent Behaviour for Enhanced Autonomy in Cyber-Physical Systems.  -- On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data.  -- Cultural influence on autonomous vehicles acceptance.</tableOfContents>
  <note type="statement of responsibility">edited by Arkady Zaslavsky, Zhaolong Ning, Vana Kalogeraki, Dimitrios Georgakopoulos, Panos K. Chrysanthis.</note>
  <subject authority="lcsh">
    <topic>Computer networks </topic>
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