Cerebral blood flow is essential for normal brain function and often perturbed in neurological disease. If one shines a ...
Abstract: Traditional linear scaling artificial neural network (ANN)-based compact models face significant challenges in achieving high accuracy for device modeling. To overcome this limitation, a ...
Abstract: In traffic flow prediction, the efficacy of deep learning models is largely contingent upon the availability of extensive training datasets, presenting a formidable challenge in data-scarce ...