W-MSTC: A Window Based Multi-Scale Temporal Cross Attention Method for Few-Shot Modulation Recognition
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2025.3640581
Abstract: With the rapid advancement of wireless communication systems and evolving modulation types, obtaining sufficient labeled data for modulation recognition is becoming increasingly challenging. This letter proposes a novel method for few-shot modulation recognition, called window… read more here.
Keywords: multi scale; modulation recognition; cross; scale temporal ... See more keywords
FASTEN: Video Event Localization Based on Audio-Visual Feature Alignment and Multi-Scale Temporal Enhancement
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3567020
Abstract: The audio-visual event localization task investigates how audio and visual modalities can mutually enhance video event localization. Current methods often rely on single-modality features or lack effective initial alignment between modalities. Although feature pyramids with… read more here.
Keywords: multi scale; event localization; scale temporal; audio visual ... See more keywords
MSES: Multi-Scale Temporal Encoding and Egocentric Scan-Based Spatial Representation for Multi-Agent Trajectory Prediction
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2025.3589759
Abstract: Multi-agent trajectory prediction plays an increasingly critical role in intelligent transportation systems. Despite significant progress in this field, several key challenges remain unresolved. Future trajectories of agents are jointly influenced by individual behavior patterns and… read more here.
Keywords: agent trajectory; multi agent; multi scale; scale temporal ... See more keywords
Macro-Scale Temporal Attenuation for Electoral Forecasting: A Retrospective Study on Recent Elections
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DOI: 10.3390/math13040604
Abstract: Forecasting election outcomes is a complex scientific challenge with notable societal implications. Existing approaches often combine statistical analysis, machine learning, and economic indicators. However, research in network science has emphasized the importance of temporal factors… read more here.
Keywords: temporal attenuation; election; opinion; scale temporal ... See more keywords