Results 51 to 60 of about 3,121,297 (329)
Developmental Disorders in Children Recently Diagnosed With Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism
IEEE AccessIn the wake of COVID-19, rising monkeypox cases pose a potential pandemic threat. While less severe than COVID-19, its increasing spread underscores the urgency of early detection and isolation to control the disease.
Avi Deb Raha +7 more
doaj +1 more source
Visual Attention Mechanism for a Social Robot
Applied Bionics and Biomechanics, 2012 This paper describes a visual perception system for a social robot. The central part of this system is an artificial attention mechanism that discriminates the most relevant information from all the visual information perceived by the robot.
Juan Pedro Bandera +4 more
doaj +1 more source
Examining Attention Mechanisms in Deep Learning Models for Sentiment Analysis [PDF]
, 2021 Spyridon Kardakis +3 more
openalex +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Probabilistic Attention Map: A Probabilistic Attention Mechanism for Convolutional Neural Networks
SensorsThe attention mechanism is essential to convolutional neural network (CNN) vision backbones used for sensing and imaging systems. Conventional attention modules are designed heuristically, relying heavily on empirical tuning.
Yifeng Liu, Jing Tian
doaj +1 more source
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
, 2017 The Nonlinear autoregressive exogenous (NARX) model, which predicts the current value of a time series based upon its previous values as well as the current and past values of multiple driving (exogenous) series, has been studied for decades. Despite the
Chen, Haifeng +5 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Masked Face Recognition System Based on Attention Mechanism
Information, 2023 With the continuous development of deep learning, the face recognition field has also developed rapidly. However, with the massive popularity of COVID-19, face recognition with masks is a problem that is now about to be tackled in practice.
Yuming Wang, Yu Li, Hua Zou
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Cognitive impairment and exercise intolerance are common in dialysis patients. Cerebral perfusion and oxygenation play a major role in both cognitive function and exercise execution; HD session per se aggravates cerebral ischemia in this population. This study aimed to compare cerebral oxygenation and perfusion at rest and in mild
Marieta P. Theodorakopoulou +10 more
wiley +1 more source