Search results for "Mean absolute error"

showing 3 items of 3 documents

A concept for personal wellness management based on activity monitoring

2008

Lifestyle related health problems are increasing rapidly. Many of them could be prevented or alleviated by sufficient physical activity, enough sleep, and a balanced diet. Individual citizens have the main responsibility for their own health and wellness management in their daily lives. Motivational tools based on modern technologies can support people in this task. Vivago Personal Wellness Manager (PWM) is a concept for personal wellness management, based on continuous activity monitoring with a wrist-worn device combined with immediate feedback on daily activity, e.g., sleep and physical activity. The concept allows long-term monitoring of activity patterns and includes PC software for de…

business.industryApplied psychologyPhysical activityMean absolute errorHealthenhancing physical activityTask (project management)Activity monitoringHealth problemsEnergy expenditureWellness managementActivity monitoringHealth careEnergy expenditure estimationSleep (system call)businessPsychologySimulation
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Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs

2021

Sediments accumulated in check dams are a valuable measure to estimate soil erosion rates. Here, geographic information systems (GIS) and three machine learning techniques (MARS-multivariate adaptive regression splines, RF-random forest and SVM-support vector machine) were used, for the first time, to predict sediment deposition rate (SR) in check-dams located in six watersheds in SW Spain. There, 160 dry-stone check dams (~ 77.8 check-dams km−2), accumulated sediments during a period that varied from 11 to 23 years. The SR was estimated in former research using a topographical method and a high-resolution Digital Elevation Model (DEM) (average of 0.14 m3 ha−1 year−1). Nine environmental-to…

Mean squared error0208 environmental biotechnologyMean absolute errorSoil ScienceHigh resolution02 engineering and technology010501 environmental sciencesMachine learningcomputer.software_genre01 natural sciencesEnvironmental ChemistryDigital elevation model0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyGlobal and Planetary ChangeMultivariate adaptive regression splinesbusiness.industryGeologyMars Exploration ProgramPollution020801 environmental engineeringCheck dam Machine learning techniques Sediment deposition rate (SR) Structure-from-motion (SfM) Unmanned aerial vehicle (UAV)Support vector machineArtificial intelligencebusinesscomputerCheck dam
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Mapping daily global solar irradiation over Spain: A comparative study of selected approaches

2011

Abstract Three methods to estimate the daily global solar irradiation are compared: the Bristow–Campbell (BC), Artificial Neural Network (ANN) and Kernel Ridge Regression (KRR). BC is an empirical approach based on air maximum and minimum temperature. ANN and KRR are non-linear approaches that use temperature and precipitation data (which have been selected as the best combination of input data from a gamma test). The experimental dataset includes 4 years (2005–2008) of daily irradiation collected at 40 stations and temperature and precipitation data collected at 400 stations over Spain. Results show that the ANN method produces the best global solar irradiation estimates, with a mean absol…

MeteorologyArtificial neural networkRenewable Energy Sustainability and the EnvironmentKrigingKernel ridge regressionMean absolute errorEnvironmental scienceGeneral Materials ScienceIrradiationPrecipitationImage resolutionSolar Energy
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