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BiDGCNLLM: A Graph–Language Model for Drone State Forecasting and Separation in Urban Air Mobility Using Digital Twin-Augmented Remote ID Data
Published 2025-07-01“…Results from the AirSUMO co-simulation platform and a DT replica of the Cranfield University campus show that BiDGCNLLM outperforms state-of-the-art time series models in short-term velocity prediction. Compared to Transformer-LSTM, BiDGCNLLM marginally improves the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup></mrow></semantics></math></inline-formula> by 11.59%. …”
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Study on the risk factors for colorectal polyp recurrence: a cross-sectional retrospective cohort study
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The blended learning model from the perspective of cognitive load theory
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Prediction of hemolytic peptides and their hemolytic concentration
Published 2025-02-01“…These models outperform existing methods and are implemented in HemoPI2, a web-based platform and standalone software for designing peptides with desired HC50 values ( http://webs.iiitd.edu.in/raghava/hemopi2/ ).…”
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Insights into the linkages of forest structure dynamics with ecosystem services
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