Results 21 to 30 of about 403,368 (289)
Root mean square error (RMSE) or mean absolute error (MAE)? [PDF]
Geoscientific Model Development, 2014 Abstract. Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be a misleading indicator of average error and thus the MAE would be a better metric for that ...
T. Chai, R. R. Draxler
openaire +4 more sources
Implementation of the Fuzzy Tsukamoto Method for Office Stationery Estimation Stock System
Jurnal Riset Informatika, 2022 Information technology supports the company's operational activities in recording incoming goods, outgoing goods, and existing inventory. PT. Mitraniaga Distribusindo is a company engaged in food distribution, which includes supporting aspects for smooth
Tedy Rukmana +2 more
doaj +1 more source
Genomes to Fields 2022 Maize genotype by Environment Prediction Competition
BMC Research Notes, 2023 Objectives The Genomes to Fields (G2F) 2022 Maize Genotype by Environment (GxE) Prediction Competition aimed to develop models for predicting grain yield for the 2022 Maize GxE project field trials, leveraging the datasets previously generated by this ...
Dayane Cristina Lima +33 more
doaj +1 more source
Modeling nanofluid viscosity: comparing models and optimizing feature selection—a novel approach
Bulletin of the National Research Centre, 2023 Background The accurate prediction of viscosity in nanofluids is essential for comprehending their flow behavior and enhancing their effectiveness in different industries.
Ekene Onyiriuka
doaj +1 more source
Load Forecasting Techniques for Power System: Research Challenges and Survey
IEEE Access, 2022 The main and pivot part of electric companies is the load forecasting. Decision-makers and think tank of power sectors should forecast the future need of electricity with large accuracy and small error to give uninterrupted and free of load shedding ...
Naqash Ahmad +3 more
doaj +1 more source
A Prediction Model of Power Consumption in Smart City Using Hybrid Deep Learning Algorithm
JOIV: International Journal on Informatics Visualization, 2023 A smart city utilizes vast data collected through electronic methods, such as sensors and cameras, to improve daily life by managing resources and providing services. Moving towards a smart grid is a step in realizing this concept.
Salam Abdulkhaleq Noaman +2 more
doaj +1 more source
Neutron optical test of completeness of quantum root-mean-square errors [PDF]
npj Quantum Information, 2021 AbstractWhile in classical mechanics the mean error of a measurement is solely caused by the measuring process (or device), in quantum mechanics the operator-based nature of quantum measurements has to be considered in the error measure as well. One of the major problems in quantum physics has been to generalize the classical root-mean-square error to ...
Stephan Sponar +3 more
openaire +4 more sources
Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
doaj +1 more source
Improved terrain estimation from spaceborne lidar in tropical peatlands using spatial filtering
Science of Remote Sensing, 2023 Tropical peatlands are estimated to hold carbon stocks of 70 Pg C or more as partly decomposed organic matter, or peat. Peat may accumulate over thousands of years into gently mounded deposits called peat domes with a relief of several meters over ...
Alexander R. Cobb +6 more
doaj +1 more source
Forecasting Wind Energy Production Using Machine Learning Techniques [PDF]
E3S Web of Conferences, 2023 Wind energy is an essential source of renewable energy that has gained popularity in recent years. Accurately forecasting wind energy production is crucial for efficient energy management and distribution.
Margarat G. Simi +3 more
doaj +1 more source