Results 41 to 50 of about 5,976,633 (297)

The Level Weighted Structural Similarity Loss: A Step Away from MSE [PDF]

AAAI Conference on Artificial Intelligence, 2019
The Mean Square Error (MSE) has shown its strength when applied in deep generative models such as Auto-Encoders to model reconstruction loss. However, in image domain especially, the limitation of MSE is obvious: it assumes pixel independence and ignores
Yingjing Lu
semanticscholar   +1 more source

A Hybrid Approach to Building Peer Groups for Technology Evaluation to Generate Reference Information

IEEE Access, 2021
Technology evaluation facilitates successful implementation of a technology financing system. It is usually done with a combined approach of data-driven quantitative evaluation and expert-driven qualitative evaluation due to the labyrinthine nature of ...
Wonchul Seo
doaj   +1 more source

Search for structural similarity in proteins [PDF]

Bioinformatics, 2003
Abstract Motivation: The expanding protein sequence and structure databases await methods allowing rapid similarity search. Geometric parameters—dihedral angle between two sequential peptide bond planes (V) and radius of curvature (R) as they appear in pentapeptide fragments in polypeptide chains—are proposed for use in evaluating ...
Leluk, Jacek, Konieczny, Leszek, Roterman-Konieczna, Irena   +2 more
openaire   +3 more sources

Linking Datasets Using Semantic Textual Similarity

Cybernetics and Information Technologies, 2018
Linked data has been widely recognized as an important paradigm for representing data and one of the most important aspects of supporting its use is discovery of links between datasets.
McCrae John P., Buitelaar Paul
doaj   +1 more source

Wireless Multimedia Sensor Network Image De-Noising via a Detail-Preserving Sparse Model

Cybernetics and Information Technologies, 2015
In this paper, we propose a Detail-Preserving Sparse Model (DPSM) for de-noising of images that are usually interfered by noise on the Wireless Multimedia Sensor Network (WMSN).
Cui Zhi, Cui Xian-pu
doaj   +1 more source

Improved SR-SSIM Band Selection Method Based on Band Subspace Partition

Remote Sensing, 2023
Scholars have performed much research on reducing the redundancy of hyperspectral data. As a measure of the similarity between hyperspectral bands, structural similarity is used in band selection methods.
Tingrui Hu, Peichao Gao, Sijing Ye, Shi Shen   +3 more
doaj   +1 more source

Ligand and Structure-Based In Silico Determination of the Most Promising SARS-CoV-2 nsp16-nsp10 2′-o-Methyltransferase Complex Inhibitors among 3009 FDA Approved Drugs

Molecules, 2022
As a continuation of our earlier work against SARS-CoV-2, seven FDA-approved drugs were designated as the best SARS-CoV-2 nsp16-nsp10 2′-o-methyltransferase (2′OMTase) inhibitors through 3009 compounds.
Ibrahim H. Eissa, Mohamed S. Alesawy, Abdulrahman M. Saleh, Eslam B. Elkaeed, Bshra A. Alsfouk, Abdul-Aziz M. M. El-Attar, Ahmed M. Metwaly   +6 more
doaj   +1 more source

LayoutGMN: Neural Graph Matching for Structural Layout Similarity [PDF]

Computer Vision and Pattern Recognition, 2020
We present a deep neural network to predict structural similarity between 2D layouts by leveraging Graph Matching Networks (GMN). Our network, coined LayoutGMN, learns the layout metric via neural graph matching, using an attention-based GMN designed ...
A. Patil, Manyi Li, Matthew Fisher, M. Savva, Hao Zhang   +4 more
semanticscholar   +1 more source

Health‐Related Social Needs in Children With Sickle Cell Disease Are Associated With Worse Health‐Related Quality of Life

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks, Molly Sonenklar, Cerelia Donald, Cecelia Valrie, Wally Smith, India Sisler   +5 more
wiley   +1 more source

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

Frontiers in Immunology
IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework ...
Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu   +7 more
doaj   +1 more source