Articles with "neural models" as a keyword



Photo by bernardhermant from unsplash

Probabilistic transmission line fault diagnosis using autonomous neural models

Sign Up to like & get
recommendations!
Published in 2020 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2020.106360

Abstract: Abstract Fault diagnosis is a critical task when a severe disturbance is caused by insulation failure on a transmission line. Fault diagnosis should be concluded as soon as possible to avoid further financial and social… read more here.

Keywords: fault; transmission; autonomous neural; neural models ... See more keywords
Photo from wikipedia

Biomaterial-based strategies for in vitro neural models.

Sign Up to like & get
recommendations!
Published in 2022 at "Biomaterials science"

DOI: 10.1039/d1bm01361k

Abstract: In vitro models have been used as a complementary tool to animal studies in understanding the nervous system's physiological mechanisms and pathological disorders, while also serving as platforms to evaluate the safety and efficiency of… read more here.

Keywords: vitro neural; biomaterial based; based strategies; neural models ... See more keywords
Photo from wikipedia

A review on 3D printing functional brain model

Sign Up to like & get
recommendations!
Published in 2022 at "Biomicrofluidics"

DOI: 10.1063/5.0074631

Abstract: Modern neuroscience increasingly relies on 3D models to study neural circuitry, nerve regeneration, and neural disease. Several different biofabrication approaches have been explored to create 3D neural tissue model structures. Among them, 3D bioprinting has… read more here.

Keywords: printing functional; neural tissue; review printing; neural models ... See more keywords
Photo by julianhochgesang from unsplash

Deep neural models for color classification and color constancy

Sign Up to like & get
recommendations!
Published in 2022 at "Journal of Vision"

DOI: 10.1167/jov.22.4.17

Abstract: Abstract Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance with varying cues. Inputs to the networks consisted… read more here.

Keywords: color; deep neural; color constancy; constancy ... See more keywords