Determination of optimum number of components in partial least squares regression from distributions of the root‐mean‐squared error obtained by Monte Carlo resampling
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.2993
Abstract: Monte Carlo resampling is utilized to determine the number of components in partial least squares (PLS) regression. The data are randomly and repeatedly divided into calibration and validation samples. For each repetition, the root‐mean‐squared error… read more here.
Keywords: rmse; monte carlo; carlo resampling; optimum number ... See more keywords
Estimating soil heavy metals concentration at large scale using visible and near-infrared reflectance spectroscopy
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-018-6898-6
Abstract: This study was aimed (i) to examine using diffuse reflectance spectra within VNIR region to estimate soil heavy metals concentrations at large scale, (ii) to compare the influence of different pre-processing models on predictive model… read more here.
Keywords: rpd; rmse; soil heavy; heavy metals ... See more keywords
Auto-Regressive Neural-Network Models for Long Lead-Time Forecasting of Daily Flow
Sign Up to like & getrecommendations! Published in 2018 at "Water Resources Management"
DOI: 10.1007/s11269-018-2094-2
Abstract: Accurate reservoir-inflow forecasting is especially important for optimizing operation of multi-propose reservoirs that provide hydropower generation, flood control, and water for domestic use and irrigation. There are no previous reports of successful daily flow prediction… read more here.
Keywords: rmse; lead time; time; model ... See more keywords
Comparing different space-borne sensors and methods for the retrieval of land surface temperature
Sign Up to like & getrecommendations! Published in 2021 at "Earth Science Informatics"
DOI: 10.1007/s12145-021-00578-6
Abstract: The importance of land surface temperature (LST) is increasingly recognized, and various methodologies have been proposed for the retrieval of LST using space-borne thermal infrared data. However, the selection of LST retrieval from Thermal Infrared… read more here.
Keywords: space borne; land surface; surface temperature; rmse ... See more keywords
Prediction of antibacterial activity in ionic liquids through FTIR spectroscopy with selection of wavenumber by PLS
Sign Up to like & getrecommendations! Published in 2020 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2020.104124
Abstract: Abstract Ionic liquids (ILs) are novel organic salts with a wide melting temperature range that have enormous potential for industrial use. The study aims to predict the antibacterial activities of ILs against most commonly occurring… read more here.
Keywords: ftir spectroscopy; rmse; antibacterial activity; spectroscopy ... See more keywords
Prediction of the antibacterial activity of garlic extract on E. coli, S. aureus and B. subtilis by determining the diameter of the inhibition zones using artificial neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Lwt - Food Science and Technology"
DOI: 10.1016/j.lwt.2017.04.053
Abstract: Abstract The aim of this study was to devise a model that predicts the inhibition zone diameter using artificial neural networks. The concentration, temperature and the exposure time of our extract were taken as input… read more here.
Keywords: neural networks; rmse; inhibition; using artificial ... See more keywords
Rapid assessment of red wine compositional parameters by means of a new Waveguide Vector Spectrometer
Sign Up to like & getrecommendations! Published in 2017 at "Lwt - Food Science and Technology"
DOI: 10.1016/j.lwt.2017.06.008
Abstract: Abstract A new method for rapid assessment of selected wine parameters based on a 1.6–2.7 GHz Waveguide Vector Spectrometer (WVS) is proposed for the first time. The Gain and Phase spectra of forty-two samples of Sangiovese… read more here.
Keywords: vector spectrometer; waveguide vector; rapid assessment; rmse ... See more keywords
Mapping erosion and deposition in an agricultural landscape: Optimization of UAV image acquisition schemes for SfM-MVS
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111666
Abstract: Abstract Structure-from-motion (SfM) and multi-view stereo (MVS) algorithms coupled with the use of unmanned aerial vehicles (UAVs) have become a popular tool in the geosciences for modelling complex landscapes on-demand allowing for high-resolution topographic change-detection… read more here.
Keywords: image; rmse; surface; uav image ... See more keywords
0955 Evaluating state-of-the-art algorithms for sleep-wake classification using wrist-worn wearable devices
Sign Up to like & getrecommendations! Published in 2023 at "SLEEP"
DOI: 10.1093/sleep/zsad077.0955
Abstract: Over the last 40 years, a variety of algorithms have been proposed to classify sleep-wake from wrist acceleration data. Input features into these algorithms have been activity counts or raw acceleration. The algorithms proposed range… read more here.
Keywords: sleep wake; rmse; sens spec; model ... See more keywords
Normalization and possibility of classification analysis using the optimal warping paths of dynamic time warping in gait analysis
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Exercise Rehabilitation"
DOI: 10.12965/jer.2244590.295
Abstract: The purpose of this study was to verify classification performance and the difference analysis between gender using optimal warping paths of dynamic time warping (DTW) and to examine the usefulness of root mean square error… read more here.
Keywords: using optimal; classification; rmse; optimal warping ... See more keywords
Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9081621
Abstract: The shear strength of rockfill materials (RFM) is an important engineering parameter in the design and audit of geotechnical structures. In this paper, the predictive reliability and feasibility of random forests and Cubist models were… read more here.
Keywords: rmse; rockfill materials; shear strength; mae ... See more keywords