Results 41 to 50 of about 342,941 (283)

Intra-hour cloud index forecasting with data assimilation [PDF]

open access: yes, 2019
We introduce a computational framework to forecast cloud index (CI)fields for up to one hour on a spatial domain that covers a city. Such intra-hour CI forecasts are important to produce solar power forecasts of utility scale solar power and distributed ...
Harty, TM   +3 more
core   +1 more source

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC [PDF]

open access: yes, 2015
Despite having various attractive qualities such as high prediction accuracy and the ability to quantify uncertainty and avoid over-fitting, Bayesian Matrix Factorization has not been widely adopted because of the prohibitive cost of inference.
Adams R.   +20 more
core   +2 more sources

Deteksi Tepi Canny dan RMSE untuk Identifikasi Kerusakan pada Kemasan Minuman

open access: yesJURNAL INTEGRASI, 2022
Salah satu minuman kemasan yang banyak dipakai adalah kemasan kaleng. Kekurangan kemasan minuman kaleng adalah sifatnya yang mudah rusak akibat benturan dengan benda lain maupun terjatuh. Kemasan yang rusak mengakibatkan produk menjadi tidak sempurna. Sehingga proses identifikasi kerusakan kemasan kaleng menjadi sangat penting sebagai proses penjamin ...
Yuniatmi Syamsudin, Budi Sugandi
openaire   +1 more source

Forecasting Blood Demand Using the Support Vektor Regression Method (Case Study: Blood Transfusion Unit-PMI Central Lombok)

open access: yesJISA (Jurnal Informatika dan Sains), 2023
Blood is an important component produced by the human body. Blood is also a very vital part of human survival. When blood levels in the human body are less than they should be, the way to overcome this is by donating blood or blood transfusion.
Yati Apriati   +4 more
doaj   +1 more source

Suitability of a constant air temperature lapse rate over an Alpine glacier: testing the Greuell and Böhm model as an alternative [PDF]

open access: yes, 2013
Near-surface air temperature, typically measured at a height of 2 m, is the most important control on the energy exchange and the melt rate at a snow or ice surface.
Ben Brock   +6 more
core   +1 more source

RMSE‐ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement [PDF]

open access: yesMathematical Problems in Engineering, 2014
For blended data, the robustness of extreme learning machine (ELM) is so weak because the coefficients (weights and biases) of hidden nodes are set randomly and the noisy data exert a negative effect. To solve this problem, a new framework called “RMSE‐ELM” is proposed in this paper. It is a two‐layer recursive model.
Bo Han   +5 more
openaire   +5 more sources

Estimating position & velocity in 3D space from monocular video sequences using a deep neural network [PDF]

open access: yes, 2017
This work describes a regression model based on Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM) networks for tracking objects from monocular video sequences.
Casals Gelpi, Alicia   +4 more
core   +1 more source

Prediction of Rice Production to Support Food Security in Bogor Regency using Linear Regression and Support Vector Machine (SVM)

open access: yesJurnal Teknika
A prediction is an estimation of something that has not yet occurred. Its purpose is to minimize uncertainty and reduce errors in planning. Bogor Regency, with the largest population in West Java, requires a substantial amount of food.
Ani Apriani   +2 more
doaj   +1 more source

Image Interpolation Using a Rational Bi-Cubic Ball

open access: yesMathematics, 2019
: This study deals with the application of new rational bi-cubic Ball function with six parameters in image interpolation, especially for the grayscale image.
Nur Atiqah Binti Zulkifli   +5 more
doaj   +1 more source

Higher order scrambled digital nets achieve the optimal rate of the root mean square error for smooth integrands

open access: yes, 2012
We study a random sampling technique to approximate integrals $\int_{[0,1]^s}f(\mathbf{x})\,\mathrm{d}\mathbf{x}$ by averaging the function at some sampling points.
Dick, Josef
core   +1 more source

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