Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...

Self-reported calorie estimation tends to be inaccurate and unreliable, while accurate automated estimation is expensive. Close to half of all Americans are trying to loose weight, and a significant number therefore try to track their calorie intake, self-monitored or with professionals. The Smart Remote Food Photography Method (SRFPM) archives significant accuracy of classification of fast foo...

The ongoing biodiversity crisis calls for accurate estimation of animal density and abundance to identify sources decline effectiveness conservation interventions. Camera traps together with methods are often employed this purpose. necessary distances between camera observed animals traditionally derived in a laborious, fully manual or semi-automatic process. Both approaches require reference i...

SoftAnal and SoftRepo are tools developed to provide repository services to a Viennese software house – Software Data Service – that has developed a series of financial service software systems now in the evolution phase. Repository services include automated software measurement, automated code inspection, automated post-documentation, automated generation of test cases, impact analysis, evolu...

Automatic estimation of current dipoles from biomagnetic data is still a problematic task. This is due not only to the ill-posedness of the inverse problem but also to two intrinsic difficulties introduced by the dipolar model: the unknown number of sources and the nonlinear relationship between the source locations and the data. Recently, we have developed a new Bayesian approach, particle fil...