solar radiation data play an important role in solar energy relevant researches. these data are not available for some locations due to the absence of the meteorological stations. therefore, solar radiation data have to be predicted by using solar radiation estimation models. this study presents an integrated artificial neural network (ann) approach for estimating solar radiation potential over...

histamine h3 receptor subtype has been the target of several recent drug development programs. quantitative structure-activity relationship (qsar) methods are used to predict the pharmaceutically relevant properties of drug candidates whenever it is applicable. the aim of this study was to compare the predictive powers of three different qsar techniques, namely, multiple linear regression (mlr)...

background and objectives: evaluation has an important role in software development. quality is considered in the evaluation of information systems, which depends on usability, availability, validity, compatibility, and response time. this research was performed with the aim of determining the usability of hospital information systems according to the 7 principles of isometric 9241, part 10. me...

An experiment comparing the effectiveness of the all-uses and all-edges test data adequacy criteria was performed. The experiment was designed so as to overcome some of the deEeieneies of previous software testing experiments. A large number of test sets was randomly generated for each of nine subject programs with subtle errors. For each test set, the percentages of executable edges and defini...

The best Weibull distribution methods for the assessment of wind energy potential at different altitudes in desired locations are statistically diagnosed in this study. Seven different methods, namely graphical method (GM), method of moments (MOM), standard deviation method (STDM), maximum likelihood method (MLM), power density method (PDM), modified maximum likelihood method (MMLM) and equival...