Results 81 to 90 of about 1,892,513 (283)
Agricultural Cultivation Cost Prediction Using Neural Networks and Feature Importance Analysis
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Agriculture is one of the most important sectors integral to human civilization, and technological adaptation is necessary to maintain its quality. This research aims to achieve high productivity in the agricultural sector by using neural networks or ...
Salmania Putri +2 more
doaj +1 more source
A weighted reduced basis method for parabolic PDEs with random data
, 2017 This work considers a weighted POD-greedy method to estimate statistical outputs parabolic PDE problems with parametrized random data. The key idea of weighted reduced basis methods is to weight the parameter-dependent error estimate according to a ...
B Haasdonk +15 more
core +1 more source
中国寧夏地域における日照時間から日積算日射量の推定 [PDF]
, 2009 For the estimation of daily solar radiation from sunshine duration, observation data of Yinchuan station in Ningxia, China was used. Using a linear relationship between solar radiation and extraterrestrial radiation including relative sunshine duration ...
Tsukamoto, Osamu, Yang, Qin
core +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Deep Neural Network-Driven Analysis of Free Vibrations in Tapered Beams
Applied MechanicsMost physical systems exhibit nonlinear behavior while in motion, making their resolution challenging due to nonlinearity, dynamic effects, and sensitivity to parameters such as frequency and amplitude. Traditional analytical and numerical approaches can
Jamshaid Ul Rahman +3 more
doaj +1 more source
Asymptotic bias for GMM and GEL estimators with estimated nuisance parameters [PDF]
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in the presence of estimated nuisance parameters.
Joaquim J. S. Ramalho +2 more
core
IOP Conference Series: Materials Science and Engineering, 2018 Most existing Collaborative Filtering (CF) algorithms predict a rating as the preference of an active user toward a given item, which is always a decimal fraction. Meanwhile, the actual ratings in most data sets are integers. In this paper, we discuss and demonstrate why rounding can bring different influences to these two metrics; prove that rounding ...
Weijie Wang, Yanmin Lu
openaire +1 more source
FEBS Open Bio, EarlyView.Cytosolically synthesized chloroplast preproteins are translocated across the outer and inner envelope membranes through translocons called TOC and TIC, respectively. In green algae and plants, the TIC core is composed of essential membrane proteins, Tic12, Tic20, and Tic214.
Mengyi Li, Xueyang Zhao, Masato Nakai
wiley +1 more source
Another Look at Measures of Forecast Accuracy [PDF]
We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core
Peramalan Permintaan Produk Roti pada Industri “Tiara Rizki” di Kelurahan Boyaoge Kecamatan Tatanga Kota Palu [PDF]
, 2016 This study aimed to forecast demand for bakery products at “Tiara Rizki” industry in Boyaoge Village Tatanga District of Palu City in 2016. This research was conducted in June 2015.
Gusdian, E. (Eby)
core