Evaluation of the effective forcespinning parameters controlling polyvinyl alcohol nanofibers diameter using artificial neural network
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Polymer Technology"
DOI: 10.1002/adv.21817
Abstract: In this research, the polyvinyl alcohol (PVA) nanofibers through forcespinning process were successfully produced and the effective parameters for predicting nanofibers diameter using artificial neural network (ANN) were investigated. The various parameters of forcespinning process… read more here.
Keywords: nanofibers diameter; using artificial; diameter using; polyvinyl alcohol ... See more keywords
An integrated approach for estimating static Young’s modulus using artificial intelligence tools
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3344-1
Abstract: Elastic parameters play a key role in managing the drilling and production operations. Determination of the elastic parameters is very important to avoid the hazards associated with the drilling operations, well placement, wellbore instability, completion… read more here.
Keywords: using artificial; modulus using; young modulus; artificial intelligence ... See more keywords
Modelling and Optimization of Biogenic Synthesis of Gold Nanoparticles from Leaf Extract of Swertia chirata Using Artificial Neural Network
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Cluster Science"
DOI: 10.1007/s10876-018-1429-8
Abstract: Swertia chirata is a medicinal plant studied for its ability to synthesize polyshaped gold nanoparticles (AuNP). The process of AuNP biosynthesis was studied using artificial neural networks (ANN) with different activation function on output node… read more here.
Keywords: gold nanoparticles; swertia chirata; using artificial; leaf extract ... See more keywords
Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers of Medicine"
DOI: 10.1007/s11684-017-0582-z
Abstract: Comprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acupuncture… read more here.
Keywords: neural network; hidden; using artificial; model ... See more keywords
Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Petroleum Exploration and Production Technology"
DOI: 10.1007/s13202-019-0672-3
Abstract: Improper hole cleaning or drilled-cutting transportation impacts drilling operations. To illustrate, inefficient cleaning of the wellbore can lead to many drilling problems such as low drilling rate (i.e. low ROP), early bit wear and, in… read more here.
Keywords: intelligence techniques; cutting concentration; using artificial; artificial intelligence ... See more keywords
Real-Time Prediction of Rheological Parameters of KCl Water-Based Drilling Fluid Using Artificial Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-016-2409-7
Abstract: The main objective of this paper is to use the frequent measurements of mud density, Marsh funnel viscosity, and solid percent to predict the rheological properties (plastic viscosity, apparent viscosity, yield point, flow behavior index,… read more here.
Keywords: rheological parameters; using artificial; time; artificial neural ... See more keywords
Practical benchmarking in DEA using artificial DMUs
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Industrial Engineering International"
DOI: 10.1007/s40092-018-0281-7
Abstract: Data envelopment analysis (DEA) is one of the most efficient tools for efficiency measurement which can be employed as a benchmarking method with multiple inputs and outputs. However, DEA does not provide any suggestions for… read more here.
Keywords: efficient units; benchmarking dea; dea; using artificial ... See more keywords
Spacecraft real-time thermal simulation using artificial neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of The Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-021-02908-7
Abstract: Spacecraft Operational Simulators are mainly used for training satellite operators, to test the ground control system, and the evaluation of operational and onboard procedures before their execution in the real satellite. To achieve these objectives,… read more here.
Keywords: time; real time; neural networks; using artificial ... See more keywords
Development of in-core fuel management tool for AHWR using artificial neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Nuclear Energy"
DOI: 10.1016/j.anucene.2020.107869
Abstract: Abstract In-core fuel management methods based on evolutionary algorithms and machine learning tools are being developed worldwide to improve the overall efficiency of the operating cycle in all type of nuclear reactors. The fuel cycle… read more here.
Keywords: using artificial; fuel management; core fuel; core ... See more keywords
Using artificial intelligence tools in answering important clinical questions: The KEYNOTE-183 multiple myeloma experience.
Sign Up to like & getrecommendations! Published in 2020 at "Contemporary clinical trials"
DOI: 10.1016/j.cct.2020.106179
Abstract: The phase III, randomized, active-controlled, multicenter, open-label KEYNOTE-183 study (NCT02576977) evaluating pomalidomide and low dose dexamethasone (standard-of-care [SOC]) with or without pembrolizumab in patients with refractory or relapsed and refractory multiple myeloma (rrMM) was placed… read more here.
Keywords: using artificial; multiple myeloma; ecog performance; keynote 183 ... See more keywords
Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country
Sign Up to like & getrecommendations! Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e04081
Abstract: Understanding academic achievement (AA) is one of the most global challenges, as there is evidence that it is deeply intertwined with economic development, employment, and countries’ wellbeing. However, the research conducted on this topic grounds… read more here.
Keywords: achievement; academic achievement; using artificial; public high ... See more keywords