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Full Description
This volume constitutes the proceedings of Third International Conference on Artificial Intelligence of Things and Systems, AIoTSys 2025, held in Lanzhou, China, during August 15-17, 2025.
The 37 full papers included in this book were carefully reviewed and selected from 88 submissions. These papers discuss the integration of AI into IoT (AIoT) and its impact across a wide range of economic and social domains, driving the transformation of traditional industries into a new era of intelligence that goes beyond mere digitization and connectivity.
Contents
.- IMU-Accelerated Image Stitching: Fast and Artifact-Free Panorama Construction.
.- Intrusion Detection for Unmanned Aerial Vehicle Systems with Deep Reinforcement Learning.
.- Seeing from Within: Ego-Centric 3D Orientation Prediction for Autonomous Driving.
.- Tag in Bloom: Fast RFID Membership via Software-Defined Readers.
.- FedDEK: Federated Domain-Incremental Learning via Expert Knowledge Construction.
.- An Accurate Indoor Depth Estimation Method Based on Iterative Pose Refinement.
.- A Dynamic Stress Assessment Framework via Multi-Scale Feature Fusion.
.- Regularized Offline Reinforcement Learning for Energy Efficient Urban Rail Transit System Control.
.- P2MFDS: A Privacy-Preserving Multimodal Fall Detection System for Elderly People in Bathroom Environments.
.- Enhancing Indoor Trajectory Tracking with XGBoost-Based Classification on mmWave Radar Point Clouds.
.- Towards Large-scale Wireless Sensing in Smart Buildings Using LoRa Signals.
.- Wi-CLIP:Toward Zero-Shot Air Gesture Recognition Based on RF-Text Foundation Model.
.- Object Size Classification in Garbage Disposal Sensing System Using Monocular Depth Estimation.
.- Memory-Aware Structured Pruning for DL with Joint Optimization of L1-norm and Peak Memory.
.- SAULC: Semantic-Driven Adaptive Method for UAV-LEO Satellite Communication.
.- A Low Migration and Low Energy Consumption Fog Computing Workflow Scheduling Framework for Multiple Constraints.
.- A Method for Recognition and Analysis of Industrial Sewing Machine Operating States Based on Edge Computing.
.- Trustworthy Distributed Decision-making for Multi-view Sensing Data.
.- From Sparse Labels to Accurate Models: Active Semi-Supervised Learning for mmWave Radar Target Classification.
.- Runtime Heterogeneous Sensor Selection with Data Reuse in Multi-Device Environments.
.- Can Time-Series Foundation Models Enhance Wireless Sensing Data Analytics? An Empirical Study.
.- DGA-Based Power Transformer Fault Diagnosis via Knowledge Distillation of Large Language Model.
.- GraphSAGE-Enhanced Reinforcement Learning for Optimizing Load-Aware Microservice Deployment.
.- STCL-Dynamic Sparsity-driven Transition Feature Replay Continual Learning for Edge Devices.
.- Towards On-device NPU-Friendly Neural Network Operator Optimization.
.- AIGC in Mobile Edge Networks: A Survey.
.- Large Language Models-Driven Personalized Adaptation Framework for Intelligent Agents.
.- Learning-based Taxi Selection for Opportunistic Street Parking Sensing.
.- Eye-PPG: Remote PPG Signal Generation for Heart-rate Estimation and User Identification in Virtual Reality.
.- Temporal Decision-Making Optimization for Intelligent Agents withGradually Clarified Objectives.
.- A LoRa Positioning Algorithm Based on the Integration of Kalman Filtering and Neural Networks and Its Implementation.
.- MSGR-DCM:Multi-Scale Graph Relational Learning and DC-Mamba for Multivariate Time Series Anomaly Detection in Industrial Control Systems.
.- A Review on Temporal Knowledge Graph Completion in The Context of Internet of Things and Industrial Security.
.- Federated Learning for AIoT Security: Current Advances and Future Challenges.
.- Lightweight Chaos-Based Image Encryption Algorithm for the Internet of Things.
.- Image Watermarking Encryption Algorithm for IoT Utilizing Chaotic Neural Network.
.- BluePLP: Dynamic Vulnerability Patching for Heterogeneous BLE Devices.
