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Mobile and Ubiquitous Systems: Computing, Networking and Services 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part II /

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 thes...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Zaslavsky, Arkady (Editor), Ning, Zhaolong (Editor), Kalogeraki, Vana (Editor), Georgakopoulos, Dimitrios (Editor), Chrysanthis, Panos K. (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Vydání:1st ed. 2024.
Edice:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 594
Témata:
Computer networks .
Computer Communication Networks.
On-line přístup:https://doi.org/10.1007/978-3-031-63992-0
Tagy: Přidat tag
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Obsah:
  • -- 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.

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