Neural Systems
Mostrando 1-12 de 501 artigos, teses e dissertações.
-
1. Mathematical Modeling of the Film Influence on the Salting Time of Mozzarella Cheese in a Static and Dynamic System: Application of Artificial Neural Networks of the Multilayer Perceptron Type
The NaCl and KCl diffusion in the film formed on the cheese surface during salting was simulated by the finite element method. The time and salts concentration values on the cheese surface were determined, tabulated, and presented to the multilayer perceptron neural network (MLP) for the regression modeling. The samples were divided into 70, 15 and 15% for t
Journal of the Brazilian Chemical Society. Publicado em: 2022
-
2. A systematic review of observational, naturalistic, and neurophysiological outcome measures of nonpharmacological interventions for autism
Objective: Naturalistic and neurophysiological assessments are relevant as outcome measures in autism intervention trials because they provide, respectively, ecologically valid information about functioning and underlying neurocognitive mechanisms. We conducted a systematic review to highlight which specific neurophysiological techniques, experimental tasks,
Brazilian Journal of Psychiatry. Publicado em: 2022
-
3. Management of neurogenic bladder dysfunction in children update and recommendations on medical treatment
ABSTRACT Introduction: Defective closure of the neural tube affects different systems and generates sequelae, such as neurogenic bladder (NB). Myelomeningocele (MMC) represents the most frequent and most severe cause of NB in children. Damage of the renal parenchyma in children with NB acquired in postnatal stages is preventable given adequate evaluation, f
International braz j urol. Publicado em: 2022
-
4. Antecedent factors of violation of information security rules
Abstract Purpose This paper aims to investigate the influence of moral disengagement, perceived penalty, negative experiences and turnover intention on the intention to violate the established security rules. Design/methodology/approach The method used involves two stages of analysis, using techniques of structural equation modeling and artificial intellig
RAUSP Management Journal. Publicado em: 2022
-
5. Kinetics of Lumefantrine Thermal Decomposition Employing Isoconversional Models and Artificial Neural Network
Thermal analysis can be used to determine shelf-life and kinetic parameters in pharmaceutical systems. This work investigates the kinetic of lumefantrine thermal decomposition, an antimalarial, using non-isothermal and isothermal experimental data. The non-isothermal conditions are analyzed applying Vyazovkin method, while isothermal conditions employ models
J. Braz. Chem. Soc.. Publicado em: 2020-03
-
6. ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF PHYSIOLOGICAL AND PRODUCTIVE VARIABLES OF BROILERS
ABSTRACT Due to a number of factors involving the thermal environment of a broiler cutting installation and its interaction with the physiological and productive responses of birds, artificial intelligence has been shown to be an interesting methodology to assist in the decision-making process. For this reason, the main aim of this work was to develop an art
Eng. Agríc.. Publicado em: 2020-02
-
7. Design and Synthesis of an Ultra Wide Band FSS for mm-Wave Application via General Regression Neural Network and Multiobjective Bat Algorithm
Abstract In this work is presented a hybrid bioinspired optimization technique that associates a General Regression Neural Network (GRNN) with the Multiobjective Bat Algorithm (MOBA), for the design and synthesis of the Frequency Selective Surfaces (FSS), aiming its application in data communication systems by diffusion of millimeter waves, specifically, in
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 11/11/2019
-
8. MODELING AND SIMULATING LAND USE/COVER CHANGE USING ARTIFICIAL NEURAL NETWORK FROM REMOTELY SENSING DATA
ABSTRACT Increasing population, mobility and requirements of human beings have significant effects on the dynamics of land use and land cover. Today, these impacts need to be understood and analyzed for the applicability of decision support systems, which are an important tool in the management of natural resources, urban and rural areas. The aim of this stu
CERNE. Publicado em: 09/09/2019
-
9. Technical Losses Reduction in Underground Reticulated Distribution Systems using Artificial Neural Networks and Smart Grid Features
ABSTRACT This work presents the methodology, development and testing of an autonomous system, based on Artificial Neural Networks (ANN), for the reduction of technical losses in reticulated underground systems through the optimal control of the capacitor banks (CBs) present in the grid. The proposed methodology includes Smart Grid features, including practic
Braz. arch. biol. technol.. Publicado em: 22/10/2018
-
10. The delusional dimension of anorexia nervosa: phenomenological, neurobiological and clinical perspectives
Abstract Background Delusional characteristics have been largely ignored in patients suffering from anorexia nervosa (AN). Objectives To review the literature on delusional features in AN from phenomenological, neurobiological, and clinical viewpoints. Methods Data were obtained through searches of Medline, PubMed, SciELO and Cochrane Library. Results Di
Arch. Clin. Psychiatry (São Paulo). Publicado em: 2018-02
-
11. REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS
ABSTRACT: Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via Artificial Neural Networks (ANNs) for the northern region of São Paulo state, Brazil. Therefore, this aimed to predict the reference
Eng. Agríc.. Publicado em: 2017-12
-
12. A System Based on Artificial Neural Networks for Automatic Classification of Hydro-generator Stator Windings Partial Discharges
Abstract Partial discharge (PD) monitoring is widely used in rotating machines to evaluate the condition of stator winding insulation, but its practice on a large scale requires the development of intelligent systems that automatically process these measurement data. In this paper, it is proposed a methodology of automatic PD classification in hydro-generato
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2017-09