Sentence examples for architecture for detection of from inspiring English sources

This paper discusses a receiver architecture for detection of QAM signals that is well suited for wireless data applications.

In this work, joule-self-heating of a suspended Pt nanowire, under oxygen ambient, is utilized to form PtOx/Pt nanostructure to develop a new type of 1-dimensional sensor device architecture for detection of hydrogen at room temperature.

Therefore in this proposed work the main focus is to design the algorithm based on level set segmentation, wavelets filters and artificial neural network (ANN) architecture for detection of Cholesterol in real time using biomedical images with the help of MATLAB with maximum accuracy of 98.8%.

The results reported in this paper demonstrate the feasibility of developing advanced data fusion neural network architectures for detection of incidents on urban arterials using data from existing loop detector configurations and probe vehicles.

The developed system is based on a binary readout architecture and optimised for detection of X-rays of energies in the range 6 30 keV.

Therefore a simple, rapid, label free, inexpensive, excellent, sensitive and selective electrochemical aptasensor based on sandwich architecture was developed for detection of CT26 Cells.

In this paper we present the design, implementation and experimental evaluation of Kerberos, an architecture for the detection of frauds in current generation Voice over IP (VoIP) networks.

The development of OMMA has the objective of providing an operational and open architecture for the detection of multi-step attacks with human assistance.

The project will define a runtime manager architecture for runtime detection of abnormal behaviour, triggering if needed a safe degraded mode.

Multilayer perceptron neural network (MLPNN) architectures were formulated and used as basis for detection of variabilities of the ECG signals.

Multilayer perceptron neural network (MLPNN) architectures were formulated and used as basis for detection of electroencephalographic changes.