A systematic review of human activity recognition based on mobile devices: overview, progress and trends
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
Distributional and spatial-temporal robust representation learning for transportation activity recognition
Transportation activity recognition (TAR) provides valuable support for intelligent
transportation applications, such as urban transportation planning, driving behavior …
transportation applications, such as urban transportation planning, driving behavior …
Resource aware clustering for tackling the heterogeneity of participants in federated learning
Federated Learning is a training framework that enables multiple participants to
collaboratively train a shared model while preserving data privacy. The heterogeneity of …
collaboratively train a shared model while preserving data privacy. The heterogeneity of …
Robust and ubiquitous mobility mode estimation using limited cellular information
Recent mobility mode estimation systems propose using signals from the serving cell tower
only to be deployable on all phones. However, all available solutions depend on statistical …
only to be deployable on all phones. However, all available solutions depend on statistical …
APPN: An Attention-based Pseudo-label Propagation Network for few-shot learning with noisy labels
Few-shot learning has garnered significant attention in deep learning as an effective
approach for addressing the issue of data scarcity. Conventionally, training datasets in few …
approach for addressing the issue of data scarcity. Conventionally, training datasets in few …
Long-short-view aware multi-agent reinforcement learning for signal snippet distillation in delirium movement detection
Q Pan, H Wang, J Lou, Y Zhang, B Ji, S Li - Information Sciences, 2024 - Elsevier
Automatic movement analysis utilizing surveillance video is believed to be an important and
convenient way for timely delirium detection in an Intensive Care Unit (ICU). However, video …
convenient way for timely delirium detection in an Intensive Care Unit (ICU). However, video …
ModeSense: Ubiquitous and accurate transportation mode detection using serving cell tower information
Recent transportation mode detection systems propose leveraging signals from only the
serving cell tower to ensure ubiquity and practical deployability across all phones. However …
serving cell tower to ensure ubiquity and practical deployability across all phones. However …
Utilizing transfer learning and pre-trained models for effective forest fire detection: A case study of uttarakhand
HP Gupta, R Mishra - arxiv preprint arxiv:2410.06743, 2024 - arxiv.org
Forest fires pose a significant threat to the environment, human life, and property. Early
detection and response are crucial to mitigating the impact of these disasters. However …
detection and response are crucial to mitigating the impact of these disasters. However …
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
The emergence of 5G and edge computing hardware has brought about a significant shift in
artificial intelligence, with edge AI becoming a crucial technology for enabling intelligent …
artificial intelligence, with edge AI becoming a crucial technology for enabling intelligent …
Noise-resilient federated learning: Suppressing noisy labels in the local datasets of participants
Federated Learning (FL) is a novel paradigm of collaboratively training a model using local
datasets of multiple participants. FL maintains data privacy and keeps local datasets …
datasets of multiple participants. FL maintains data privacy and keeps local datasets …