Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Traffic oscillations degrade efficiency, increase safety risks, and lead to excessive energy consumption. To address this, we propose the Bilateral Control Model with Deep Reinforcement Learning ...

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CTSMamba is a multitask deep learning model trained on longitudinal CT images of neoadjuvant chemotherapy-treated locally advanced gastric cancer that accurately predicts lymph node metastasis and ...

Brush stroke training models for Chinese brush play an important role in robotic Chinese calligraphy as the basis of stroke generation. How to combine the end-to-end method and physical model needs to ...