Results 31 to 40 of about 35,676,247 (246)
CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network
Clouds have an enormous influence on the Earth's energy balance, climate, and weather. Cloud types have different cloud radiative effects, which is an essential indicator of the cloud effect on radiation.
Jinglin Zhang +3 more
doaj +1 more source
scAlign: a tool for alignment, integration, and rare cell identification from scRNA-seq data
scRNA-seq dataset integration occurs in different contexts, such as the identification of cell type-specific differences in gene expression across conditions or species, or batch effect correction. We present scAlign, an unsupervised deep learning method
Nelson Johansen, Gerald Quon
doaj +1 more source
Background The molecular biomarkers of breast ductal carcinoma in situ (DCIS) have important guiding significance for individualized precision treatment.
Linyong Wu +8 more
doaj +1 more source
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Identifying reusable abstract data types in code [PDF]
The basic aim of this thesis is to analyse the state of the art in the field of the software reuse Software reuse is widely regarded as offering the opportunity for improving the software production process.
Tortorella, Maria
core
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
Using large image data sets has been the conventional strategy to improve object detection, but it increases annotation effort and training cost and does not guarantee robust transfer to new sites.
Khim Cathleen Saddi +7 more
doaj +1 more source
Doppler radar rainfall prediction and gauge data
Objective The data herein represents multiple gauge sets and multiple radar sites of like-type Doppler data sets combined to produce populations of ordered pairs.
Jesse W. Lansford +3 more
doaj +1 more source
This dataset is usually no longer distributed. Please use the latest data set of the study (see "versions" below). The SOECBIAS data set is an output of the interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and ...
J\ue4ger, Julian, Universit\ue4t Hamburg +4 more
core +1 more source
Solving the Periodic Toda-Type Chain with a Self-Consistent Source [PDF]
In this article, we explore the periodic Toda-type chain. The aim of this work is to obtain representations for the solutions of the periodic Toda-type chain with self-consistent source within the framework of the inverse spectral method for the discrete
Azizbek Azamatov +2 more
core +1 more source

