Birds are excellent environmental indicators and may indicate sustainability of the ecosystem; birds be used to provide provisioning, regulating, supporting services. Therefore, birdlife conservation-related researches always receive centre stage. Due airborne nature dense tropical forest, bird identifications through audio a better solution than visual identification. The goal this study is fi...

There are several compilations of sky classifications that refer to Meteorological Indices (MIs) (variables usually recorded at meteorological ground stations), due the scarcity scanner devices can supply experimental data needed apply CIE standard classification. The use one rather than another MI is never justified, because there no standardized criterion for their selection. In this study, f...

induction motor bearing is one of the key parts of the machine and its analysis and interpretation are important for fault detection. in the present work vibration signal has been taken for the classification i.e. bearing is healthy (h) or defective (d). for this purpose, clustering based classification of bearing vibration data has been carried out using principal component analysis (pca) and ...

automatic facial recognition has many potential applications in different areas of humancomputer interaction. however, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. in this paper, we present a new appearance based feature descriptor,the local directional pattern (ldp), to represent facial geometry and analyze its performance inrecognition. an ldp feat...

different approaches have been proposed for feature selection to obtain suitable features subset among all features. these methods search feature space for feature subsets which satisfies some criteria or optimizes several objective functions. the objective functions are divided into two main groups: filter and wrapper methods.  in filter methods, features subsets are selected due to some measu...