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Structural Integrity of the Contralesional Hemisphere Predicts Cognitive Impairment in Ischemic Stroke at Three Months
(Public Library of Science, 2014-01)
After stroke, white matter integrity can be affected both locally and distally to the primary lesion location. It has been shown that tract disruption in mirror's regions of the contralateral hemisphere is associated with ...
Photometric Stereo-Based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network
(MDPI, 2022-01-24)
This paper presents an automatic system for the quality control of metallic components using a photometric stereo-based sensor and a customized semantic segmentation network. This system is designed based on interoperable ...
Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation
(MDPI, 2020-09-22)
Flatness sensors are required for quality control of metal sheets obtained from steel coils by roller leveling and cutting systems. This article presents an innovative system for real-time robust surface estimation of ...
Methodologically Grounded SemanticAnalysis of Large Volume of Chilean Medical Literature Data Applied to the Analysis of Medical Research Funding Efficiency in Chile
(BioMed Central, 2020-09-29)
Background Medical knowledge is accumulated in scientific research papers along time. In order to exploit this knowledge by automated systems, there is a growing interest in developing text mining methodologies to extract, ...
Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals
(World Scientific Publishing, 2020-10)
Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. ...
Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
(MDPI, 2021-10-23)
Surface flatness assessment is necessary for quality control of metal sheets manufactured from steel coils by roll leveling and cutting. Mechanical-contact-based flatness sensors are being replaced by modern laser-based ...
Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components
(MDPI, 2021-07-09)
This paper describes the application of Semantic Networks for the detection of defects in images of metallic manufactured components in a situation where the number of available samples of defects is small, which is rather ...
Energy demands of diverse spiking cells from the neocortex, hippocampus, and thalamus
(Frontiers Research Foundation, 2014-04-08)
It has long been known that neurons in the brain are not physiologically homogeneous. In response to current stimulus, they can fire several distinct patterns of action potentials that are associated with different ...
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
(Public Library Science, 2015-07-09)
Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. ...
Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis
(MDPI, 2019-09-20)
Radiomics and texture analysis represent a new option in our biomarkers arsenal. These techniques extract a large number of quantitative features, analyzing their properties to incorporate them in clinical decision-making. ...