Mostrando 10 resultados de: 10
Filtros aplicados
Publisher
Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015(4)
Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017(2)
2016 IEEE Congress on Evolutionary Computation, CEC 2016(1)
IEEE Transactions on Industrial Electronics(1)
Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018(1)
Área temáticas
Probabilidades y matemática aplicada(3)
Ciencias de la computación(2)
Funcionamiento de bibliotecas y archivos(2)
Física aplicada(2)
Instrumentos de precisión y otros dispositivos(2)
Área de conocimiento
Análisis de datos(3)
Automatización(2)
Ciencias de la computación(2)
Minería de datos(2)
Agricultura(1)
Objetivos de Desarrollo Sostenible
ODS 9: Industria, innovación e infraestructura(10)
ODS 12: Producción y consumo responsables(5)
ODS 17: Alianzas para lograr los objetivos(3)
ODS 2: Hambre cero(1)
ODS 4: Educación de calidad(1)
Origen
scopus(10)
Big data analytics for empowering milk yield prediction in dairy supply chains
Conference ObjectAbstract: Accurate prediction of daily milk production is a crucial aspect of the dairy industry. During the pPalabras claves:Big Data Analytics, Milk Yield Pbkp_rediction, What-if AanalysisAutores:Akcan O., Chen X., Dazhi Yang, Lim J., Yan W.J.Fuentes:scopusGraph-based analysis of resource dependencies in project networks
Conference ObjectAbstract: It is a challenge to visualize high dimensional data such as project data to yield new and interestiPalabras claves:graph layout algorithm, graph visualization, Information Visualization, PERT, project managementAutores:Choi B.G., Dazhi Yang, Ertek G., Xu C., Yong O.B.Fuentes:scopusHigh-precision XY stage motion control of industrial microscope
ArticleAbstract: This paper presents an economic way to implement a high-precision (micrometer level) XY stage motionPalabras claves:dc motor, microscope, Sliding mode control (SMC)Autores:Dazhi Yang, Lim L.I.Fuentes:scopusForecast UPC-Level FMCG Demand, Part IV: Statistical Ensemble
Conference ObjectAbstract: Improving forecast accuracy is a major goal of statisticians and forecast practitioners. over the yePalabras claves:ensemble, Fast moving consumer goods, Forecast combination, forecastingAutores:Dazhi Yang, Zhang A.N.Fuentes:scopusForecast UPC-level FMCG demand, Part I: Exploratory analysis and visualization
Conference ObjectAbstract: We are interested in forecasting a large collection of FMCG demand time series. As the demand of FMCPalabras claves:FMCG, forecasting, hierarchical reconciliation, VisualizationAutores:Akcan O., Dazhi Yang, Goh G.S.W., Xu C., Zhang A.N.Fuentes:scopusForecast UPC-level FMCG demand, Part II: Hierarchical reconciliation
Conference ObjectAbstract: In a big data enabled environment, manufacturers and distributors may have access to previously unobPalabras claves:FMCG, forecasting, hierarchical reconciliation, VisualizationAutores:Akcan O., Dazhi Yang, Goh G.S.W., Jiang S., Zhang A.N.Fuentes:scopusLow-cost precision motion control for industrial digital microscopy
Conference ObjectAbstract: This paper presents a reliable but low-cost way for industrial digital microscopy to implement μm-lePalabras claves:Autores:Dazhi Yang, Lim L.I.Fuentes:scopusPerforming literature review using text mining, Part I: Retrieving technology infrastructure using Google Scholar and APIs
Conference ObjectAbstract: Technology infrastructure (TechInfra) refers to metadata describing an academic field, such as journPalabras claves:google scholar, last mile logistics, technology infrastructure, TEXT MININGAutores:Dazhi Yang, Yan W.J., Zhang A.N.Fuentes:scopusPerforming literature review using text mining, Part II: Expanding domain knowledge with abbreviation identification
Conference ObjectAbstract: An abbreviation is often used in scientific communications when a concept is needed to be addressedPalabras claves:abbreviation extraction, Literature review, pbkp_redictive maintenance, TEXT MININGAutores:Dazhi Yang, Hong J.Fuentes:scopusTowards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition
Conference ObjectAbstract: The decomposition method in multiobjective evolutionary algorithms (MOEA/D) is an effective approachPalabras claves:Autores:Cai Z., Dazhi Yang, Feng L., Heng C., Jiang S., Ong Y., Tan P., Zhang A.N.Fuentes:scopus