Results 41 to 50 of about 6,924,037 (250)
Deep Learning with Attention Mechanisms for Road Weather Detection
Sensors, 2023 There is great interest in automatically detecting road weather and understanding its impacts on the overall safety of the transport network. This can, for example, support road condition-based maintenance or even serve as detection systems that assist ...
Madiha Samo +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
LUNA: Loss-Construct Unsupervised Network Adjustment for Low-Dose CT Image Reconstruction
IEEE AccessReconstructing low-dose CT imaging deals with handling the inherent noise within the data, which makes it a complex mathematical problem known as an ill-posed inverse problem.
Ritu Gothwal +2 more
doaj +1 more source
Mathematics, 2021 With the rapid development of statistics, information entropy is proposed as an important indicator used to quantify information uncertainty. In this paper, maximum likelihood and Bayesian methods are used to obtain the estimators of the entropy for a ...
Xinjing Wang, Wenhao Gui
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
Improved estimation for linear models under different loss functions [PDF]
, 2004 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 +1 more source
ComputersThe 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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
Efficiency analysis of attention modules and combined loss functions for urban road segmentation
Geocarto InternationalThe 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
Towards Monocular Neural Facial Depth Estimation: Past, Present, and Future
IEEE Access, 2022 This article contains all of the information needed to conduct a study on monocular facial depth estimation problems. A brief literature review and applications on facial depth map research were offered first, followed by a comprehensive evaluation of ...
Faisal Khan +4 more
doaj +1 more source