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Now showing items 21-30 of 377
Simultaneous History-matching Approach By Use Of Reservoir-characterization And Reservoir-simulation Studies
(Soc Petroleum EngRichardson, 2016)
Modelo para la predicción de rendimiento del Markdown en RappiModel design for Markdown performance forecasting at Rappi
(Barranquilla, Universidad del Norte, 2022, 2022)
A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products
(Mdpi, 2022-09-01)
Progressively monitoring water quality is crucial, as aquatic contaminants can pose risks to human health and other organisms. Machine learning can support the development of new effective tools for water monitoring, ...
Artificial neural networks in time series forecasting: a comparative analysisKYBERNETIKAKYBERNETIKA
(INSTITUTE OF INFORMATION THEORY AND AUTOMATION OF THE ACADEMY OF SCIENCES, 2017)
Avaliação de redes neurais aplicadas na classificação e identificação de falhas de produtos em linha produtiva
(BrasilUFSMUFSM Cachoeira do Sul, 2023-07-10)
Artificial Intelligence (AI) is an emerging area that has applications in several sectors, such as engineering,
industrial automation, health, agriculture, among others. In the last six years alone, the number of ...
Estimativa da produção de energia solar fotovoltaica com base em modelos meteorológicos
(Universidade Federal de Santa MariaBrasilEngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia ElétricaCentro de Tecnologia, 2018-08-23)
Photovoltaic energy had an exponential growth in the last few years in Brazil and soon it
should become an important source of energy in the Brazilian electrical system. Unlike
other sources, it is not possible to control ...
Forecasting for smart grid applications with Higher Order Neural Networks
(2012)
This work presents the design of a neural network which combines higher order terms in its input layer and an Extended Kalman Filter (EKF) based algorithm for its training. The neural network based scheme is defined as a ...
Forecasting for smart grid applications with Higher Order Neural Networks
(2012)
This work presents the design of a neural network which combines higher order terms in its input layer and an Extended Kalman Filter (EKF) based algorithm for its training. The neural network based scheme is defined as a ...