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Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 1417, 2023, Proceedings, Part II 2024 ed. [Mīkstie vāki]

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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.
.- 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.



.-  Traic 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.



.- Eicient 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 Minds 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.