As the application areas of unmanned aerial vehicles (UAVs) continue to expand, the importance of UAV task allocation becomes increasingly evident.A highly effective and efficient UAV task assignment method can significantly enhance the quality of task completion.However, traditional heuristic algorithms often perform poorly in complex and dynamic
Epilepsy is a chronic brain disease that causes persistent and severe damage to the physical and mental health of patients.Daily effective prediction of epileptic seizures is crucial for epilepsy patients especially those Stable Products with refractory epilepsy.At present, a large number of deep learning algorithms such as Convolutional Neural Net
Abstract Background The inverse problem of fluorescent molecular tomography (FMT) often involves complex large-scale matrix operations, which may lead to unacceptable computational errors and complexity.In this research, a tree structured Schur complement decomposition strategy is proposed to accelerate the reconstruction body surf board process an