Results 31 to 40 of about 1,997,899 (287)

Ultrafast processing of pixel detector data with machine learning frameworks

, 2019
Modern photon science performed at high repetition rate free-electron laser (FEL) facilities and beyond relies on 2D pixel detectors operating at increasing frequencies (towards 100 kHz at LCLS-II) and producing rapidly increasing amounts of data ...
Blaj, Gabriel, Chang, Chu-En, Kenney, Christopher J.   +2 more
core   +1 more source

Multi-Scale Aerial Target Detection Based on Densely Connected Inception ResNet

IEEE Access, 2020
With the rapid development of unmanned aerial vehicles (UAVs), aerial targets detection has attracted extensive attention from researchers. The difficulty of aerial image detection lies in the small proportion of ground targets in aerial images and the ...
Miaohui Zhang, Kangning Pang, Chengcheng Gao, Ming Xin   +3 more
doaj   +1 more source

SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data

Frontiers in Genetics, 2020
Hi-C data is important for studying chromatin three-dimensional structure. However, the resolution of most existing Hi-C data is generally coarse due to sequencing cost.
Zhilan Li, Zhiming Dai, Zhiming Dai
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

SeqBMC: Single‐cell data processing using iterative block matrix completion algorithm based on matrix factorisation

IET Systems Biology
With the development of high‐throughput sequencing technology, the analysis of single‐cell RNA sequencing data has become the focus of current research.
Gong Lejun, Yu Like, Wei Xinyi, Zhou Shehai, Xu Shuhua   +4 more
doaj   +1 more source

PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network

Remote Sensing
Deep neural networks have achieved remarkable results in the field of polarimetric synthetic aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle imaging, resulting in PolSAR images usually containing a large amount of ...
Wenqiang Hua, Yi Wang, Sijia Yang, Xiaomin Jin   +3 more
doaj   +1 more source

Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning

IEEE Access, 2020
In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve user ...
Li Yang, Ying Li, Jin Wang, R. Simon Sherratt   +3 more
doaj   +1 more source

Why and When Are Evidence‐Based Interventions Adopted in Paediatric Supportive Care? A Qualitative Exploration of the Determinants of Photobiomodulation Implementation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Oral mucositis is a common and debilitating side effect of childhood cancer and stem cell transplant treatments. It affects the quality of life of children and young people (CYP) and places a strain on services. Photobiomodulation is recommended for oral mucositis prevention in international guidance but is poorly implemented in UK ...
Claudia Heggie, Kara A. Gray‐Burrows, Peter F. Day, Bob Phillips, Carl A. Thompson   +4 more
wiley   +1 more source

NASA's High-End Computing Capability: Growing to Support Science Data Processing for the Earth System Observatory Missions

, 2022
NASA s High-End Computing Capability (HECC) facility in NASA s Advanced Supercomputing (NAS) division provides considerable resources and services to current and future Science Mission Directorate missions and projects. As part of the support for all the Agency s Mission Directorates, half of the HECC compute and storage capacity is allocated to ...
Jenkins, Jon M., Ciotti, Robert B., Michaelis, Andrew R., Tenenbaum, Peter G., Brosnan, Ian G., Piyush Mehrotra   +5 more
openaire   +1 more source

Attention inverted feature perturbation for semi-supervised medical image segmentation

Discover Computing
Accurate medical image segmentation is essential for reliable diagnosis, surgical planning, and disease monitoring. Semi-supervised medical image segmentation offers great potential by exploiting abundant unlabeled data with limited annotations, but it ...
Yuling Yang, Tao Wang, Sien Li, Yuanzheng Cai, Xiang Wu   +4 more
doaj   +1 more source