FT-Loc: A Fine-Grained Temporal Features-Based Fusion Network for Indoor Localization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3299625
Abstract: Indoor location-based services (LBSs) are critical for enhancing social and commercial activities that require accurate and efficient localization techniques. Existing deep-learning-based indoor localization methods mainly focus on predefined global features to learn local discriminative representations,… read more here.
Keywords: indoor localization; fine grained; grained temporal; features based ... See more keywords
Day-Ahead PV Power Forecasting Model Based on Fine-Grained Temporal Attention and Cloud-Coverage Spatial Attention
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2023.3326887
Abstract: With the increase of grid-connected photovoltaic (PV) power plants, measuring the uncertainty of PV output forecast due to multiple meteorological factors has become an important method to ensure the stable operation of the power system.… read more here.
Keywords: attention; fine grained; cloud; model ... See more keywords
Multi-Grained Temporal Clip Transformer for Skeleton-Based Human Activity Recognition
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15094768
Abstract: Skeleton-based human activity recognition is a key research topic in the fields of deep learning and computer vision. However, existing approaches are less effective at capturing short-term sub-action information at different granularity levels and long-term… read more here.
Keywords: recognition; temporal clip; multi grained; grained temporal ... See more keywords