-Recent interest has arisen regarding the application of principal component analysis (PCA) -style methods for the analysis of large neuroimaging data sets. However, variation between different implementation of these techniques has resulted in some confusion regarding the uniqueness of these approaches. In the present article, we attempt to provide a more unified insight into the use of PCA as...

in this study, an intelligent system for sorting closed shell and open shell pistachio nuts, was designed and developed based on combined acoustic and artificial neural network (ann) techniques. the system included a microphone, pc, material handling equipment and an air reject pneumatic mechanism. the microphone, placed under the steel plate, received sound signals generated by the pistachio n...

synthetic sulphonated anthraquinones are the raw materials used for producing a large palette of synthetic dyes, and microorganisms have a limited ability to decompose them, hence they are one of the important environmental pollutants. in order to study the ability of plants to remove this pollutant from the environment, corn, as a plant not containing any natural anthraquinones and common sorr...

background: municipal solid waste (msw) is the natural result of human activities. msw generation modeling is of prime im­portance in designing and programming municipal solid waste management system. this study tests the short-term pre­diction of waste generation by artificial neural network (ann) and principal component-regression analysis. methods: two forecasting techniques are presented in...

cisplatin is a common chemotherapeutic agent that used for treatment of many solid cancers. rapid identification of chemotherapy resistance is very important and may lead to effective treatment plan. spectroscopy techniques, such as infrared spectroscopy, which are sensitive to biochemical composition of samples, have shown potentials to discriminate tissues. developing in fourier transform inf...

An approach for learning and recognizing human actions in videos is described. The proposed approach learns various actions through principle component analysis (PCA) of motion curves, and recognizes observed actions using features of their motion curves. Trajectories of one or more key points on the human body are created. A curve is fitted to each trajectory to smooth noise and to produce a c...