Results 1 to 10 of about 297,094 (269)
Frontiers in Medicine, 2022 ObjectiveTo report a preliminary experience of outpatient management of patients with Coronavirus disease 2019 (COVID-19) through an innovative approach of healthcare delivery.Patients and MethodsPatients evaluated at the Mild-to-Moderate COVID-19 ...
Rebecca De Lorenzo +23 more
doaj +1 more source
Weighted Homology of Bi-Structures over Certain Discrete Valuation Rings
Mathematics, 2021 An RNA bi-structure is a pair of RNA secondary structures that are considered as arc-diagrams. We present a novel weighted homology theory for RNA bi-structures, which was obtained through the intersections of loops.
Andrei Bura, Qijun He, Christian Reidys
doaj +1 more source
Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking
IEEE Access, 2022 Nowadays, digital content like videos, audio and images are widely used as evidence in criminal courts and forensic laboratories. Due to the advanced low-cost and easily available multimedia/communication tools and softwares, manipulation of the content ...
Rafi Ullah +4 more
doaj +1 more source
Embedding Graphs into Embedded Graphs [PDF]
Algorithmica, 2020 A (possibly denerate) drawing of a graph $G$ in the plane is approximable by an embedding if it can be turned into an embedding by an arbitrarily small perturbation. We show that testing, whether a straight-line drawing of a planar graph $G$ in the plane is approximable by an embedding, can be carried out in polynomial time, if a desired embedding of ...
openaire +4 more sources
Attention-Aware Heterogeneous Graph Neural Network
Big Data Mining and Analytics, 2021 As a powerful tool for elucidating the embedding representation of graph-structured data, Graph Neural Networks (GNNs), which are a series of powerful tools built on homogeneous networks, have been widely used in various data mining tasks.
Jintao Zhang, Quan Xu
doaj +1 more source
Local procrustes for manifold embedding: a measure of embedding quality and embedding algorithms [PDF]
Machine Learning, 2009 We present the Procrustes measure, a novel measure based on Procrustes rotation that enables quantitative comparison of the output of manifold-based embedding algorithms (such as LLE (Roweis and Saul, 2000) and Isomap (Tenenbaum et al, 2000)). The measure also serves as a natural tool when choosing dimension-reduction parameters.
Yair Goldberg, Yaacov Ritov
openaire +2 more sources
Secure Patient Data Transfer Using Information Embedding and Hyperchaos
Sensors, 2021 Health 4.0 is an extension of the Industry standard 4.0 which is aimed at the virtualization of health-care services. It employs core technologies and services for integrated management of electronic health records (EHRs), captured through various ...
Hanan Aljuaid, Shabir A. Parah
doaj +1 more source
An Entity-Matching System Based on Multimodal Data for Two Major E-Commerce Stores in Mexico
Mathematics, 2022 E-commerce has grown considerably in Latin America in recent years due to the COVID-19 pandemic. E-commerce users in English-speaking and Chinese-speaking countries have web-based tools to compare the prices of products offered by various retailers.
Raúl Estrada-Valenciano +2 more
doaj +1 more source
Survey of Neural Text Representation Models
Information, 2020 In natural language processing, text needs to be transformed into a machine-readable representation before any processing. The quality of further natural language processing tasks greatly depends on the quality of those representations.
Karlo Babić +2 more
doaj +1 more source