Results 1 to 10 of about 1,070,803 (168)

Incisional hernia prediction using machine learning models [PDF]

BMC Medical Informatics and Decision Making
Background One of the main complications after laparotomy is incisional hernia (IH), with an incidence of 40% in specific risk groups. There is no consensus on determining which patients are at low or high Risk.
Edgard Efren Lozada-Hernández, Tania A. Ramirez-DelReal, Sebastián Salazar-Colores, Dagoberto Armenta-Medina   +3 more
doaj   +2 more sources

Desafíos en el uso de la Inteligencia Artificial en el sector salud

Revista Información Científica, 2023
En el sector salud existen herramientas de inteligencia artificial o soluciones de salud basadas en inteligencia artificial, entre ellas se hallan aquellas de aprendizaje automático, procesamiento y comprensión del lenguaje natural, reconocimiento de ...
Yudayly Stable-Rodriguez
doaj   +1 more source

Revisiting Multiple Ring Oscillator-Based True Random Generators to Achieve Compact Implementations on FPGAs for Cryptographic Applications

Cryptography, 2023
The generation of random numbers is crucial for practical implementations of cryptographic algorithms. In this sense, hardware security modules (HSMs) include true random number generators (TRNGs) implemented in hardware to achieve good random number ...
Luis Parrilla, Antonio García, Encarnación Castillo, Juan Antonio López-Villanueva, Uwe Meyer-Baese   +4 more
doaj   +1 more source

Novel SH-SAW Biosensors for Ultra-Fast Recognition of Growth Factors

Biosensors, 2021
In this study, we investigated a label-free time efficient biosensor to recognize growth factors (GF) in real time, which are of gran interesting in the regulation of cell division and tissue proliferation.
Daniel Matatagui, Ágatha Bastida, M. Carmen Horrillo   +2 more
doaj   +1 more source

Credibility Analysis on Twitter Considering Topic Detection

Applied Sciences, 2022
Twitter is one of the most popular sources of information available on the internet. Thus, many studies have proposed tools and models to analyze the credibility of the information shared.
Maria Hernandez-Mendoza, Ana Aguilera, Irvin Dongo, Jose Cornejo-Lupa, Yudith Cardinale   +4 more
doaj   +1 more source

Carbon SH-SAW-Based Electronic Nose to Discriminate and Classify Sub-ppm NO₂

Sensors, 2022
In this research, a compact electronic nose (e-nose) based on a shear horizontal surface acoustic wave (SH-SAW) sensor array is proposed for the NO2 detection, classification and discrimination among some of the most relevant surrounding toxic chemicals,
Carlos Cruz, Daniel Matatagui, Cristina Ramírez, Isidro Badillo-Ramirez, Emmanuel de la O-Cuevas, José M. Saniger, Mari Carmen Horrillo   +6 more
doaj   +1 more source

Analysis of organizational power networks through a holistic approach using consensus strategies

Heliyon, 2019
Power is one of the most complex organizational attributes to understand due to the multiple related variables and dimensions in which it appears. The ownership and use and of power are reflected in the interpersonal relationships within an organization,
Valentina Ramos, Antonio Franco-Crespo, Lien González-Pérez, Yasel Guerra, Carlos Ramos-Galarza, Pablo Pazmiño, Eduardo Tejera   +6 more
doaj   +1 more source

Tecnología digital en Bibliotecas en Paraguay

e-Ciencias de la Información, 2013
La motivación para este trabajo de investigación es hacer entrega del diagnóstico del uso de la tecnología digital en bibliotecas en el Paraguay, tomando como muestra aquellas que se ubican en los centros referentes o cabeceras de educación, en el país ...
María Teresa Rosas de Maidana
doaj   +5 more sources

Estructura y dinámica de los grupos de investigación

Arbor: Ciencia, Pensamiento y Cultura, 2008
La importancia de la asociabilidad se está poniendo crecientemente de manifiesto cuando se analizan los actuales modos de producción del conocimiento. Existen diferentes niveles organizativos en el ámbito de la investigación científica, entre los que los
Jesús Rey Rocha, María José Martín Sempere, Jesús Sebastián   +2 more
doaj   +1 more source

Methodology for the identification of relevant loci for milk traits in dairy cattle, using machine learning algorithms

MethodsX, 2022
Machine learning methods were considered efficient in identifying single nucleotide polymorphisms (SNP) underlying a trait of interest. This study aimed to construct predictive models using machine learning algorithms, to identify loci that best explain ...
María Agustina Raschia, Pablo Javier Ríos, Daniel Omar Maizon, Daniel Demitrio, Mario Andrés Poli   +4 more
doaj   +1 more source