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Mostrando ítems 11-20 de 122
Predicción de clientes potenciales utilizando K vecino más cercano en el área de negocios de la Cooperativa Riobamba.
(Escuela Superior Politécnica de Chimborazo, 2021-10-05)
K-Nearest Neighbor (KNN) is one of the algorithms that allows real-time diagnosis and supports decision-making. For this research, the basis of data from the business area of the Cooperativa de Ahorro y Crédito Riobamba ...
A structure-activity relationship study of lapachol and some derivatives of 1,4-naphthoquinones against carcinosarcoma Walker 256
(Plenum Publ CorpNew YorkEUA, 1998)
A chemometric study on the analgesic activity of cannabinoid compounds using SDA, KNN and SIMCA methods
(SPRINGER/PLENUM PUBLISHERS, 2009)
The supervised pattern recognition methods K-Nearest Neighbors (KNN), stepwise discriminant analysis (SDA), and soft independent modelling of class analogy (SIMCA) were employed in this work with the aim to investigate the ...
Effect of ZnO addition on the structure, microstructure and dielectric and piezoelectric properties of K0.5Na0.5NbO3 ceramics
(Universidad Federal de Sao Carlos, 2014-04-29)
Microstructure, structure and electrical and dielectric properties of ZnO-doped K0.5Na0.5NbO3 (KNN) ceramics were investigated. Powders were obtained by the conventional solid-state method. Samples doped with 0 - 1 mol% ...
Clasificador de productos agrícolas para control de calidad basado en Machine Learning e Industria 4.0.
(Escuela Superior Politécnica de Chimborazo, 2020-06-08)
Currently, empirical techniques in Ecuadorian agricultural production are not enough to achieve quality changes with food safety standards and thus meet the demand
of an international market. This work presents a system ...
Intrusion Detection System Based on Flows Using Machine Learning Algorithms
(2017-10-01)
The use of technology information and communication by different types of devices generates a large quantity of data packets that contains of confidential and personal information. The traffic of data packet can be summarized ...
Intelligent Expert System for Power Quality Improvement Under Distorted and Unbalanced Conditions in Three-Phase AC Microgrids
(Ieee-inst Electrical Electronics Engineers Inc, 2018-11-01)
This paper presents an expert system (ES) based on decoupled power/current decomposition and the k-nearest neighbor pattern recognition method to identify and choose the correct mitigation solution for power quality ...
Three topological features of regulatory networks control life-essential and specialized subsystems
(2021-12-01)
Gene regulatory networks (GRNs) play key roles in development, phenotype plasticity, and evolution. Although graph theory has been used to explore GRNs, associations amongst topological features, transcription factors ...
Nonlinear forecasting of stream flows using a chaotic approach and artificial neural networks
(UNIVERSIDAD NACIONAL DE COLOMBIA, 2013)
This paper evaluates the forecasting performance of two nonlinear models, k-nearest neighbor (kNN) and feed-forward neural networks (FFNN), using stream flow data of the Kızılırmak River, the longest river in Turkey. For ...
Asenjonamides A-C, antibacterial metabolites isolated from Streptomyces asenjonii strain KNN 42.f from an extreme hyper arid Atacama Desert soil
(Japan Antibiotics Research Association, 2018)
Bio-guided fractionation of the culture broth extract of Streptomyces asenjonii strain KNN 42.f recovered from an extreme hyper-arid Atacama Desert soil in northern Chile led to the isolation of three new bioactive ...