Tag : networks

AI/ML

Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation. (arXiv:2002.00104v1 [cs.CV])

Newsemia
Quantization plays an important role for energy-efficient deployment of deep neural networks (DNNs) on resource-limited devices. Post-training quantization is crucial since it does not require...
AI/ML

Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. (arXiv:2002.00011v1 [eess.IV])

Newsemia
Deep learning is a popular and powerful tool in computed tomography (CT) image processing such as organ segmentation, but its requirement of large training datasets...
AI/ML

Giving cryptocurrency users more bang for their buck

Newsemia
A new cryptocurrency-routing scheme co-invented by MIT researchers can boost the efficiency — and, ultimately, profits — of certain networks designed to speed up notoriously...
Pediatrics

Brain networks come 'online' during adolescence to prepare teenagers for adult life

Newsemia
New brain networks come ‘online’ during adolescence, allowing teenagers to develop more complex adult social skills, but potentially putting them at increased risk of mental...
Cardiology

Predicting major neurologic improvement and long-term outcome after thrombolysis using artificial neural networks.

Newsemia
Related Articles Predicting major neurologic improvement and long-term outcome after thrombolysis using artificial neural networks. J Neurol Sci. 2020 Jan 03;410:116667 Authors: Chung CC, Hong...
Cardiology

Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks.

Newsemia
Related Articles Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks. Comput Med Imaging Graph. 2020 Jan 03;80:101698 Authors: Zhao...
Latest News

On the modelling and performance measurement of service networks with heterogeneous customers

Newsemia
Palmer, R; Utley, M; (2019) On the modelling and performance measurement of service networks with heterogeneous customers. Annals of Operations Research 10.1007/s10479-019-03391-z . (In press)....

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