Ulteriori informazioni
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.
Sommario
.- 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.
.- Tra ic 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.
.- E icient 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.
