Results 61 to 70 of about 1,547,225 (303)
A Decidability-Based Loss Function
23 pages, 7 ...
Pedro Silva 0004 +5 more
openaire +2 more sources
Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley +1 more source
The potential of neuromorphic (NM) solutions often lies in their low-SWaP (Size, Weight, and Power) capabilities, which often drive their application to domains that could benefit from this.
Davide Liberato Manna +4 more
doaj +1 more source
Is One Teacher Model Enough to Transfer Knowledge to a Student Model?
Nowadays, the transfer learning technique can be successfully applied in the deep learning field through techniques that fine-tune the CNN’s starting point so it may learn over a huge dataset such as ImageNet and continue to learn on a fixed dataset to ...
Nicola Landro +2 more
doaj +1 more source
Improved estimation for linear models under different loss functions [PDF]
This thesis investigates improved estimators of the parameters of the linear regression models with normal errors, under sample and non-sample prior information about the value of the parameters.
Hoque, Zahirul
core
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
wiley +1 more source
Efficiency analysis of attention modules and combined loss functions for urban road segmentation
The main objective of this study is enhancing the accuracy and robustness of road detection from high-resolution remote sensing imagery by developing improved UNet3+ encoder–decoder architecture. While existing UNet3+ have demonstrated promising results,
Amir Hossein Gholamian +1 more
doaj +1 more source
(A) Loss functions of the discriminator identifying real vs fake patients and (B) risk category. (C) Loss function of the generator. Loss functions were computed over 1000 training epochs. (TIF)
Markus Rehm (23368) +2 more
core +1 more source
Self-Checkout Loss: Increasing Participation and Scan Accuracy Through Design [PDF]
In this unique applied research study, academics and designers partnered with four of ECR’s Retailer members to immerse themselves in the self-checkout experience, understanding from the perspectives of the shopper and self-checkout supervisors, their ...
Doruff, Jeffrey +2 more
core +1 more source

