OBJECTIVE To assess the efficacy of the D-R model for defining trends in the appearance of Ceftazidime-resistant Escherichia coli. METHODS Actual data related to the manifestation of Ceftazidime-resistant E. coli spanning years 1996-2009 were collected from the China National Knowledge Internet. These data originated from 430 publications encompassing 1004 citations of resistance. The GM(1,1)...

Hydrologic models are essential to watershed planning and management, particularly in the San Antonio River watershed where competition for scarce water resources is a challenge. As a result, the calibration and validation of hydrologic models are essential steps for their successful application. In this study, we examined the use of a loosely coupled genetic algorithm (GA) as an autocalibratio...

In this letter, we train deep learning (DL) models to estimate the state-of-charge (SOC) of lithium-ion (Li-ion) battery directly from voltage, current, and temperature values. The fully convolutional network model is proposed for its novel architecture with rate optimization strategies. capable estimating SOC at constant varying ambient on different drive cycles without having be retrained. al...

The traditional procedure of predicting the settling velocity a spherical particle is inconvenient as it involves iterations, complex correlations, and an unpredictable degree uncertainty. limitations can be addressed efficiently with artificial intelligence-based machine-learning algorithms (MLAs). limited number isolated studies conducted to date were constricted specific fluid rheology, part...

The lmitations found in hospital management are directly related to the lack of information and to an inadequate resource management. These aspects are crucial for the management of any organizational entity. This work proposes a Data Mining (DM) approach in order to identify relevant data about patients’ management to provide decision makers with important information to fundament their decisi...

introduction: evaporation and evapotranspiration are two major components of hydrological cycle which are very important for agricultural studies as well as water resources management. so far, various methods have been addressed for the estimation of daily reference crop evapotranspiration (et0). among them, fao penman-montieth 56 (pmf-56) (allen et al., 1998) is widely used as a standard metho...

Real-life data are bounded and heavy-tailed variables. Zero-one-inflated beta (ZOIB) regression is used for modelling them. There no appropriate methods to address the problem of missing in repeated outcomes. We developed an imputation method using ZOIB (i-ZOIB) compared its performance with those naïve machine-learning methods, different distribution shapes settings designed simulation study. ...

Abstract The choice of a loss function is critical part in machine learning. This paper evaluates two different functions commonly used regression-task dimensional speech emotion recognition — error-based and correlation-based functions. We found that using with concordance correlation coefficient (CCC) resulted better performance than mean squared error (MSE) absolute (MAE). evaluations were m...