In this study, Caco-2 permeability results from different laboratories were compared. Six different sets of apparent permeability coefficient (Papp) values reported in the literature were compared to experimental Papp obtained in our laboratory. The differences were assessed by determining the root mean square error (RMSE) values between the datasets, which reached levels as high as 0.581 for t...

Censored data sets are often encountered in water quality investigations and streamflow analyses. A Monte Carlo analysis examined the performance of three techniques for estimating the moments and quantiles of a distribution using censored data sets. These techniques include a lognormal maximum likelihood estimator (MLE), a logprobability plot regression estimator, and a new log-partial probabi...

Spectral matching algorithms can be used for the identification of unknown spectra based on a measure of similarity with one or more known spectra. Two popular spectral matching algorithms use different error metrics and constraints to determine the existence of a spectral match. Multiple endmember spectral mixture analysis (MESMA) is a linear mixing model that uses a root mean square error (RM...

An approach was evaluated for the retrieval of soil moisture of bare soil surface using bistatic scatterometer data in the angular range of 200 to 700 at VVand HHpolarization. The microwave data was acquired by specially designed X-band (10 GHz) bistatic scatterometer. The linear regression analysis was done between scattering coefficients and soil moisture content to select the suitable incide...

Today Recommendation systems [6] have become indispensable because of the sheer overload of information made available to a user from web-services(Netflix, IMDB, Amazon, Yelp and many others). Recommendation systems are a well studied research area. In the following work, we present our study on the Netflix Challenge [3]. The Netflix Challenge can be summarized in the following way : Given a mo...

This paper presents the application of neuro-fuzzy method for prediction of vehicle fuel consumption prediction. Prediction motor vehicle fuel consumption has become a strategic issue, because it is not only related to the issue of availability of fuel but also the problem of the environmental impact caused. This study used automobile data, i.e. number of cylinders, displacement, horsepower, we...