Abstract: In the realm of fuel cell electric vehicles (FCEVs), the deep reinforcement learning (DRL) technique is increasingly recognized as a key technique for developing effective energy management ...

That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...

Between the 8th and 14th centuries, cities like Baghdad, Cordoba and Cairo shaped the intellectual direction of humanity.

UrbanNav is a large-scale urban navigation dataset automatically constructed using Qwen2.5-VL based on web data, comprising 47k trajectories and 3M language instructions. designed for training ...

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...

Abstract: Semi-supervised learning methods, compared to fully supervised learning, offer significant potential to alleviate the burden of manual annotations on clinicians. By leveraging unlabeled data ...