The usefulness of remaining cycle time models for predictive and prescriptive process monitoring depends not only on the overall accuracy predictions but also their earliness: should be as accurate possible, early possible. To give this criterion more weight in model fitting, paper evaluates three L1 loss functions with temporal decay. All have property increasing residuals from stages a relati...

Accurate lifetime prediction of lithium-ion batteries is a great challenge for the researchers and engineers involved in battery applications in electric vehicles and satellites.  In this study, a semi-empirical model is introduced to predict the capacity loss of lithium-ion batteries as a function of charge and discharge cycles, operational time, and temperature. The model parameters are obtai...

objective: alpha-thalassemia is one of the most prevalent hemoglobin disorders in the world and it is a common hereditary condition caused by deletion of one or more α-globin genes. common α-thalassemia deletions like 3.7 kb, 4.2 kb, 20.5 kb and med can be detected by multiplex pcr. there are, however, some unknown deletions that can not be detected by the mentioned method or even by direct dna...

Nowadays, in a competitive and dynamic environment of businesses, organizations need to moni-tor, analyze and improve business processes with the use of Business Process Management Systems(BPMSs). Management, prediction and time control of events in BPMS is one of the major chal-lenges of this area of research that has attracted lots of researchers. In this paper, we present a...

â  abstract geographical placement of iran especially azerbaijan area in highly strips and alpine-himalayan seismic, causes the earthquakes and their damages as inevitable facts in our country. for this reason, recognition of parameters affecting occurrence of earthquakes and development of new and suitable methods for prediction is necessary in azerbaijan region. analyzing the complex spatio-t...

this paper presents the prediction of vehicle's velocity time series using neural networks. for this purpose, driving data is firstly collected in real world traffic conditions in the city of tehran using advance vehicle location devices installed on private cars. a multi-layer perceptron network is then designed for driving time series forecasting. in addition, the results of this study a...

in this study, the performance of an irreversible regenerative brayton cycle is sought through power maximizations using finite-time thermodynamic concept in finite-size components. optimizations are performed using a genetic algorithm. in order to take into account the finite-time and finite-size concepts in the current problem, a dimensionless mass-flow rate parameter is used to deploy time v...