Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering

DEFORM-3D software was used to simulate the forging process of turbine blade, and got the maximum stress point tracking, a typical section of equivalent strain

A workload that requires N seconds on bare hardware has a normalized performance of N’IN if that workload requires N’ seconds when executed by a primary virtual machine that

Micropores smaller than 0.6 nm in wood decreased in number with elapsed time in the environment, and a nega- tive correlation was found between cumulative pore volume for

The battery-powered mower, instead, showed a much larger variation of average field consumption (and primary energy requirement) when the mower worked on bermudagrass rather than

In analyzing the scope of California's common carrier statute, the court faced an issue of first impression. While the court stated that courts nationwide have struggled

The objectives of this study were (a) to measure the effectiveness of using clustering technique on writing ability of the eleventh grade students of MAN Model Palangka

Although both strategies have been evaluated for graph single-label learning, it is not of our knowl- edge that they have been considered for multi-label learning. In [ 2 ],

A recurrent neural network is a type of neural network used in modeling and prediction of sequential data where the output is dependent on the input.. It has been used in