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The State of Computer Science in National Colleges And Universities [PDF]

open access: yes, 1983
The author served on the State Council for Higher Education in Virginia (SCHEV) task force on computer science education during the academic year 1983; this report was originally offered as the first chapter in the report of that task force.
Lee, John A. N.
core   +1 more source

Adaptive RGB-D Semantic Segmentation with Skip-Connection Fusion for Indoor Staircase and Elevator Localization

open access: yesJournal of Imaging
Accurate semantic segmentation of indoor architectural elements, such as staircases and elevators, is critical for safe and efficient robotic navigation, particularly in complex multi-floor environments.
Zihan Zhu   +3 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

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

open access: yesFrontiers 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

open access: yesPediatric 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   +23 more
wiley   +1 more source

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

open access: yesIET 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   +4 more
doaj   +1 more source

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

open access: yesRemote 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   +3 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Attention inverted feature perturbation for semi-supervised medical image segmentation

open access: yesDiscover 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   +4 more
doaj   +1 more source

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