Algorithms
Mostrando 1-12 de 2282 artigos, teses e dissertações.
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1. O que é considerado constipação no lactente e como abordar?
Constipação é definida como dificuldade para evacuar ou a evacuação de fezes duras, de largo calibre e/ou ressecadas, que necessitam muito esforço, com frequência evacuatória de duas ou menos vezes por semana e/ou associação à dor. Quando os sintomas estão presentes por menos de quatro semanas é tida como constipação aguda e além deste per
Núcleo de Telessaúde Rio Grande do Sul. Publicado em: 12/06/2023
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2. Efficient Low-Complexity Optimized Channel Estimating Methods for OFDM-Based Low-Voltage Broadband Power Line Communication Systems
Abstract Broadband Power Line Communication (BB-PLC) technology enables data transmission for smart grid applications. Nevertheless, channel equalizers are required in the receiver to estimate and compensate for the nonlinear time-variant impulse response and noise interference effects introduced by the BB-PLC channel. In this paper, we append the Particle S
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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3. Identifying olive oil fraud and adulteration using machine learning algorithms
As olive oil (OO) is more expensive than other vegetable oils, it is usually adulterated by blending it with more economic edible oils such as cottonseed oil (CSO), canola oil (CO), and soybean oil (SO). This research aimed to determine the fatty acid compositions obtained as a result of blending different proportions of CSO, CO and SO with OO using a gas ch
Química Nova. Publicado em: 2022
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4. Comment on “Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms”
Revista da Associação Médica Brasileira. Publicado em: 2022
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5. Optimization Techniques and Mathematical Modeling Applied to Reluctance Motors
Abstract The present work aims at the application of different optimization strategies in the electromagnetic analysis of the Variable Reluctance Motor (VRM) through Finite Element (FE) simulation. Two case studies are investigated: the first one aims to optimize the geometry and electrical characteristics of windings of a single-phase VRM 6/6, minimizing co
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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6. Rapid Recognizing the Producing Area of a Tobacco Leaf Using Near-Infrared Technology and a Multi-Layer Extreme Learning Machine Algorithm
A novel recognition method was put forward to identify the producing areas of the flue-cured tobacco leaves rapidly and non-destructively by using a near-infrared (NIR) spectrometer and a multi-layer-extreme learning machine (ML-ELM) algorithm. In contrast to traditional linear discriminant analysis (LDA) and extreme learning machine (ELM) algorithms, the ac
Journal of the Brazilian Chemical Society. Publicado em: 2022
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7. Use of artificial intelligence in ophthalmology: a narrative review
ABSTRACT BACKGROUND: Artificial intelligence (AI) deals with development of algorithms that seek to perceive one’s environment and perform actions that maximize one’s chance of successfully reaching one’s predetermined goals. OBJECTIVE: To provide an overview of the basic principles of AI and its main studies in the fields of glaucoma, retinopathy of
Sao Paulo Medical Journal. Publicado em: 2022
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8. Association of FAAH p.Pro129Thr and COMT p.Ala72Ser with schizophrenia and comorbid substance use through next-generation sequencing: an exploratory analysis
Objective: Individuals with schizophrenia and substance use disorders have a poor prognosis and increased psychiatric symptoms. The present study aimed to explore the association of 106 genes in individuals with schizophrenia and comorbid substance use through a next-generation sequencing (NGS) analysis and different in silico algorithms. Methods: We includ
Brazilian Journal of Psychiatry. Publicado em: 2022
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9. Deep learning model-assisted detection of kidney stones on computed tomography
ABSTRACT Introduction: The aim of this study was to investigate the success of a deep learning model in detecting kidney stones in different planes according to stone size on unenhanced computed tomography (CT) images. Materials and Methods: This retrospective study included 455 patients who underwent CT scanning for kidney stones between January 2016 and
International braz j urol. Publicado em: 2022
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10. YOUTUBE AS A SOURCE OF INFORMATION ABOUT UNPROVEN DRUGS FOR COVID-19: the role of the mainstream media and recommendation algorithms in promoting misinformation
RESUMO Neste estudo, abordamos como os vídeos no YouTube promovem desinformação sobre a hidroxicloroquina no Brasil. Seguimos duas questões de pesquisa. RQ1: Como o conteúdo pró-hidroxicloroquina é propagado no YouTube? RQ2: Como o sistema de recomendação do YouTube sugere vídeos sobre hidroxicloroquina na plataforma? Usamos métodos mistos (análi
Brazilian Journalism Research. Publicado em: 2022
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11. A Genetic Algorithm for Pointwise Source Reconstruction by the Method of Fundamental Solutions
ABSTRACT Inverse source reconstruction problems offer great potential for applications of interest to engineering, such as the identification of polluting sources, and to medicine, such as electroencephalography, to cite at least two relevant examples. From a mathematical point of view, the identification of a concentrated source (intensity and location) cor
Trends in Computational and Applied Mathematics. Publicado em: 2022
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12. Optical sorting technology for waste management from the Boukhadra iron ore mine (NE Algeria)
Abstract Mining processes in the iron ore mine of Boukhadra, Tebessa (NE Algeria) generated thousands of tons of mining wastes every year, which represents a real threat to the environment, leading to hazardous effects for the resident population of the region. The aim of this study is the selective sorting of the Boukhadra mining wastes for valorization. Th
REM - International Engineering Journal. Publicado em: 2022