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Article
Antenatal exposure to magnesium sulfate and neonatal outcomes in very low birth weight infants: a multicenter study
To explore the association between antenatal magnesium sulfate (MgSO4), mortality and incidence of intraventricular hemorrhage (IVH) in very low birth weight (VLBW) infants.
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Chapter
Dsmk-DcSeg-Lap, a Generative Adversarial Network Guided by Dark-Chanel and Segmentation to Smoke Removal in Laparoscopic Images
In this chapter, a computational approach is proposed to address the challenge of degraded visibility caused by smoke during laparoscopic surgery. The visualization of organs and tissues is hindered by the pre...
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Chapter and Conference Paper
Segmentation and Classification Networks for Corn/Weed Detection Under Excessive Field Variabilities
The control of weeds at earlier stages is one of the most relevant tasks in agriculture. However, the detection of plants in environments with uncontrolled conditions is still a challenge. Hence, a deep learni...
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Article
Risks to carbon storage from land-use change revealed by peat thickness maps of Peru
Tropical peatlands are among the most carbon-dense ecosystems but land-use change has led to the loss of large peatland areas, associated with substantial greenhouse gas emissions. To design effective conserva...
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Article
Implementation of a Neural Network for Nonlinearities Estimation in a Tail-Sitter Aircraft
A tail-sitter aircraft’s control is a challenging task, especially during transition maneuvers where the lift and drag forces are highly non-linear. In this work, we implement a neural network (NN) capable to ...
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Article
PID Principles to Obtain Adaptive Variable Gains for a Bi-order Sliding Mode Control
A new model to obtain adaptive variable gains for a bi-order Sliding Mode Control is proposed in this work. The variable gains for the controller are designed to dynamically adapt their values, using principle...
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Article
Output Feedback Control for a Quadrotor Aircraft Using an Adaptive High Gain Observer
This paper addresses the problem of quadrotor control under unknown and time-varying disturbances. It is assumed that such disturbances affect the entire quadrotor’s dynamics, i.e., in attitude and position. T...
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Article
Variable Gains Sliding Mode Control
In this paper a sliding mode control with variable gains is proposed. Such a controller has chatteringeffect reduction without detriment to the robustness properties of the sliding modes. The key idea behind t...
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Article
Open AccessScalable and accurate deep learning with electronic health records
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extracti...
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Chapter and Conference Paper
Validation of Semantic Relation of Synonymy in Domain Ontologies Using Lexico-Syntactic Patterns and Acronyms
Synonymy is a relation of equivalence between the meanings of one or more words which allows the use of any word in an equivalent way depending on the context. Given the difficulty of defining the concordance ...
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Article
A Vision and GPS-Based Real-Time Trajectory Planning for a MAV in Unknown and Low-Sunlight Environments
In this paper we address the problem of real-time optimal trajectory generation of a micro Air Vehicle (MAV) in unknown and low-sunlight environments. The MAV is required to navigate from an initial and outdoo...
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Article
Fault Estimation for a Quad-Rotor MAV Using a Polynomial Observer
This work addresses the problem of fault detection and diagnosis (FDD) for a quad-rotor mini air vehicle (MAV). Actuator faults are considered on this paper. The basic idea behind the proposed method is to est...
