Abstract: Differential neural networks (DiNNs) encounter a trade-off between the approximation quality and structural complexity. One promising approach to address this trade-off is incorporating ...
Abstract: Constructing an accurate energy consumption model can obtain server energy consumption in real-time and optimize data center energy consumption for resource providers. Considering the “low ...
To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
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