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BZIP transcription factors and transcriptional regulatory networks in the neurospora circadian system
(2014)
Circadian clocks are endogenous cellular timekeepers that confer daily rhythms to a large number of biological processes. These clocks are present in various organisms across different evolutionary lineages, in which they ...
Iterative method for detecting and localizing islands within sparse matrixes using DSSim-RT
(2015-07-30)
Nowadays, simulation for power flow analysis of
distribution systems must consider their separation in several
islands. This separation is the result of management activities
such as reconfiguration, fault detection and ...
Metodología de monitoreo para validación de circuitos VLSI
(2016-06-07)
La creciente cantidad de transistores integrables en un Chip ha dado lugar a familias de Circuitos inconcebibles hace tan solo 10 años: ULSI (Ultra-Large Scale Integration, con más de 1 millón de transistores), 3D-CI ...
Very shallow boron junctions in Si by implantation and SOD diffusion obtained by RTP
(Elsevier Ltd, 2008)
Very shallow boron junctions in Si by implantation and SOD diffusion obtained by RTP
(Elsevier Ltd, 2008)
A Hardware Accelerator for the Inference of a Convolutional Neural networkAcelerador en hardware para la inferencia de una red neuronal convolucional
(Universidad Militar Nueva Granada, 2019)
Controle de frequência de geração fotovoltaica considerando inércia virtualFrequency control of photovoltaic generation considering virtual inertia
(Universidade Federal do ParáBrasilInstituto de TecnologiaUFPAPrograma de Pós-Graduação em Engenharia Elétrica, 2018)
Clasificación de objetos usando aprendizaje profundo implementado en un sistema embebido
(Universidad Autónoma de OccidenteMaestría en Ingeniería de Desarrollo de ProductosDepartamento de Operaciones y SistemasFacultad de Ingeniería, 2017-12-12)
Image classification is a challenging problem that receives significant attention. The incursion of frameworks for deep learning allows the construction of classifiers of greater precision and ease. The aim of this project ...
A Hardware Accelerator for the Inference of a Convolutional Neural networkAcelerador en hardware para la inferencia de una red neuronal convolucional
(Universidad Militar Nueva Granada, 2019)