TY  - BOOK
AU  - Zaslavsky,Arkady
AU  - Ning,Zhaolong
AU  - Kalogeraki,Vana
AU  - Georgakopoulos,Dimitrios
AU  - Chrysanthis,Panos K.
ED  - SpringerLink (Online service)
TI  - Mobile and Ubiquitous Systems: Computing, Networking and Services: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14-17, 2023, Proceedings, Part II 
T2  - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
SN  - 9783031639920
AV  - TK5105.5-5105.9 
U1  - 004.6 23
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Computer networks 
KW  - Computer Communication Networks
N1  -  -- 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-63992-0
ER  -