Results 21 to 30 of about 1,703,012 (264)
A weather-based power distribution system reliability assessment
The continuity of power supply is affected by many factors; the weather conditions to which power system components are exposed are considered the most effect.
Hani A. Aldhubaib +2 more
doaj +1 more source
Multivariable predictive PID control for quadruple tank [PDF]
In this paper multivariable predictive PID controller has been implemented on a multi-inputs multi-outputs control problem i.e., quadruple tank system, in comparison with a simple multiloop PI controller.
Katebi, Reza, Saeed, Qamar, Uddin, Vali
core +1 more source
Blow flies (Diptera: Calliphoridae) are carrion-breeding flies that are commonly used as evidence in forensic investigation. An adequate knowledge of ecological and geographical data of blow fly has a direct application in forensic science, as far as ...
Tunwadee Klong-klaew +9 more
doaj +1 more source
Technical note: Bias and the quantification of stability [PDF]
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should also play a role in the evaluation of bias.
Turney, Peter D.
core +1 more source
The recent developments in combining point forecasts of day-ahead electricity prices across calibration windows have provided an extremely simple, yet a very efficient tool for improving predictive accuracy. Here, we consider two novel extensions of this
Tomasz Serafin +2 more
doaj +1 more source
Prediction of survival probabilities with Bayesian Decision Trees [PDF]
Practitioners use Trauma and Injury Severity Score (TRISS) models for predicting the survival probability of an injured patient. The accuracy of TRISS predictions is acceptable for patients with up to three typical injuries, but unacceptable for patients
Bailey +50 more
core +2 more sources
Correcting mistakes in predicting distributions [PDF]
Abstract Motivation Many applications monitor predictions of a whole range of features for biological datasets, e.g. the fraction of secreted human proteins in the human proteome.
Marot-Lassauzaie, Valérie +2 more
openaire +2 more sources
Residual Analysis with Bivariate INAR(1) Models
In this paper we analyze forecasting errors made by random coefficients bivariate integer-valued autoregressive models of order one. These models are based on the thinning operator to support discreteness of data.
Predrag M. Popović +2 more
doaj +1 more source
The Analysis of the Aftershock Sequences of the Recent Mainshocks in Alaska
The forecasting of the evolution of natural hazards is an important and critical problem in natural sciences and engineering. Earthquake forecasting is one such example and is a difficult task due to the complexity of the occurrence of earthquakes. Since
Mohammadamin Sedghizadeh +1 more
doaj +1 more source
Identifying model violations under the multispecies coalescent model using P2C2M.SNAPP [PDF]
Phylogenetic estimation under the multispecies coalescent model (MSCM) assumes all incongruence among loci is caused by incomplete lineage sorting. Therefore, applying the MSCM to datasets that contain incongruence that is caused by other processes, such
Drew J. Duckett +2 more
doaj +2 more sources

