Electrochemical detection method

I represents various electrochemical systems of electrodes studied in acetonitrile at chosen electric field intensity, indicates the electrode on which the electrolysis

The aim of the present study was to develop a method for recognizing lung sounds by applying techniques of image processing based on a normalized spectrogram obtained from lung

As can be seen, the whole algorithm is comprised of four steps: (1) Temporal differencing method, which is used to detect the initial coarse object motion area;

The methods in the HG step can be categorized into tree methods; Knowledge-based methods which use symmetry of object, color, corners and edges;

By using the OWL Web Ontology Language which is based on RDF Resource Description Framework and the SPARQL RDF based query language we can extract the needed

Due to unreliability of their naked eye recognition, especially their coherence with the direct sound, the evaluation of the proposed detection method was carried out using

We proposed a face detection algorithm based on CBH model and it is able to handle a wide range of variations in static color images, various skin tones and with complicated

Object generation was implemented by using horizontal and vertical edges on the way region of interest segmented by utilizing color information.. The sub-images