Results 51 to 60 of about 2,235,948 (277)
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
A CNN‑Based Method for Sparse SAR Target Classification with Grad‑CAM Interpretation
In recent years, deeps learning has been widely applied in synthetic aperture radar (SAR) image processing. However, the collection of large-scale labeled SAR images is challenging and costly, and the classification accuracy is often poor when only ...
JI Zhongyuan +3 more
doaj +1 more source
SAR Target Classification Based on Integration of ASC Parts Model and Deep Learning Algorithm
Automatic target recognition of synthetic aperture radar (SAR) images has been a vital issue in recent studies. The recognition methods can be divided into two main types: traditional machine learning methods and deep-learning-based methods.
Sijia Feng +4 more
doaj +1 more source
Cross-Domain Labeled LDA for Cross-Domain Text Classification
Cross-domain text classification aims at building a classifier for a target domain which leverages data from both source and target domain. One promising idea is to minimize the feature distribution differences of the two domains.
Jing, Baoyu +4 more
core +1 more source
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source
This study addresses the issue of fine-grained feature extraction and classification for Low-Slow-Small (LSS) targets, such as birds and drones, by proposing a multi-band multi-angle feature fusion classification method.
Xiaolong CHEN +5 more
doaj +1 more source
The Application of Evidence Theory in Supplier Evaluation
Supplier evaluation is significant for enterprise’s development. Nevertheless,as different enterprises have various restrictions such as target,technology,management and so on. Firstly,in accordance with the need of enterprises according to their ...
WANG Guang-ze +3 more
doaj +1 more source
Noisy regression and classification with continuous multilayer networks
We investigate zero temperature Gibbs learning for two classes of unrealizable rules which play an important role in practical applications of multilayer neural networks with differentiable activation functions: classification problems and noisy ...
Bishop C +9 more
core +3 more sources
Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle +5 more
wiley +1 more source
Detecting and classifying targets in video streams from surveillance cameras is a cumbersome, error-prone and expensive task. Often, the incurred costs are prohibitive for real-time monitoring.
Benini, Luca +3 more
core +1 more source

