Mobile and Ubiquitous Systems: Computing, Networking and Services

This book constitutes the proceedings of the 21st International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2024, held in Oslo, Norway, during November 12-14, 2024.

The 32 full papers presented in this book were carefully reviewed and selected from 73 submissions. They were organized into the following topical sections: Health, Biomedical Applications, and Human-Centric Computing; IoT, Cybersecurity, and Wireless Communication; Machine Learning, AI, and Smart Systems; Robotics and Autonomous Systems; and Simulation, Optimization, and Specialized Techniques.

. - Health, Biomedical Applications, and Human-Centric Computing.

. - A Preliminary Study on Core Temperature Estimation Using a Neonatal Thermal Model via Backpropagation Algorithm.

. - A Two-Step Deep Neural Network Approach for Real-Time Context-Aware Health Monitoring of Hajj Pilgrims.

. - Environment Independent Fall Detection with WiFi Streams.

. - Real-time mobile health analytics & amp; interventions pipeline to detect acute events in COPD.

. - Wearable-based Fair and Accurate Pain Assessment Using Multi-Attribute Fairness Loss in Convolutional Neural Networks.

. - EEGAmp+: Investigating the Efficacy of Functional Connectivity for Detecting Events in Low Resolution EEG.

. - IoT, Cybersecurity, and Wireless Communication.

. - Resilience Against APTs: A Provenance-based IIoT Dataset for Cybersecurity Research.

. - Verifying Multi-Vendor IoT Deployments using Conditional Tables.

. - Supporting an Ephemeral Shared Dataspace with a BLE connectionless protocol.

. - Adaptive Deployment of Application-level Sensing and Data Processing Pipelines in a Wireless Network of Embedded Devices.

. - Exploiting NLOS Links for Energy-Efficient Opportunistic Routing in IoV.

. - Spatio-Temporal Analysis of Concurrent Networks.

. - VF-RL: A Reinforcement Learning-Based Coverage Improvement in Mobile IoT Networks using Virtual Force.

. - Machine Learning, AI, and Smart Systems.

. - A Service-based Real-time Anomaly Detection Method for Sensor Stream Data.

. - AI Robust Anomaly Localization for DC Microgrid Using Adversarial Autoencoder.

. - DERGB: An Android malware adversarial attack technique based on RGB images.

. - Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition.

. - Genetic Algorithm Optimization for Mobile Crowd-sensing of On-street Parking.

. - GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes.

. - Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs.

. - Scene Graph driven Context Query Generation: A Focus on Diversity and Situation-Specific Queries.

. - Robotics and Autonomous Systems.

. - A Framework for Devising, Evaluating and Fine-tuning Indoor Tracking Algorithms.

. - CSI Phase Fingerprinting for Indoor Positioning Services using Deep Reinforcement Learning.

. - Automatic Marker Placement Method for Marker-based Virtual Reality.

. - Establishing a Data-Efficient Witness Protocol for Connected Autonomous Vehicles.

. - Real-Time Obstacle Detection and Safe Operation for Industrial Autonomous Mobile Robots.

. - Simulating and Evaluating Search Strategies for Highly Accurate Localization based on Wireless Technologies using Autonomous Unmanned Aerial Vehicles.

. - Simulation, Optimization, and Specialized Techniques.

. - Event-driven Performance Evaluation of Statecharts and MicroPython on ESP32-C3 Platforms.

. - Simulating Urban Pedestrian Flows by Fusing Wide-Area Location Data and Spot Pedestrian Counts.

. - MDMV: A Malware Detection Method based on Memory and Visualization on KVM.

. - Collection Scheduling with Memory Constraints for Low Earth Orbit Satellite Constellations.

. - Smartphone Contact-Object Estimation by Acoustic Sensing Focusing on Abstraction Level.