Image Classification by Neural Networks for the Quality Control of Watches
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This paper completes the study presented in the accompanying paper, and demonstrates a numerical algorithm for parameter prediction from the piezocone test (CPTU) data. This part deals with a development of neural network (NN) models which are able to map ...
We present the results of group dynamics and their effect on success in problem solving / decision making meetings. We use a novel multiple input environment for collaboration and data collection, and a hidden profile task given to groups, whose goals are ...
The selection of optimal parameters in high pressure die casting process (HPDC) has been long recognized as a complex nonlinear problem due to the involvement of a large number of interconnected process variables, each influencing the flow behavior of molt ...
A two-level procedure designed for the estimation of constitutive model parameters is presented in this paper. The neural network (NN) approach at the first level is applied to achieve the first approximation of parameters. This technique is used to avoid ...
Research on artificial neural networks (ANNs) has been carried out for more than five decades. A renewed interest appeared in the 80's with the finding of powerful models like J. Hopfield's recurrent networks, T. Kohonen's self-organizing feature maps, and ...
Computerized human face processing (detection, recognition, synthesis) has known an intense research activity during the last few years. Applications involving human face recognition are very broad with an important commercial impacts. Human face processin ...
A method is presented for the automatic time detection of watches, where the hands are classified by a neural network. In order to reduce the overall cost of data collection, strict limits were imposed on the data collection time. This constraint severely ...
The performance of face verification systems has steadily improved over the last few years. State-of-the-art methods often use the gray-scale face image as input. In this paper, we use an additional feature to the face image: the skin color. The feature se ...
The representation of load dynamic characteristics remains an area of great uncertainty and it becomes a limiting factor of power systems dynamic performance analysis. A major difficulty, both for component-based and measurement-based methods, is the lack ...
A portable data logger is designed to record body accelerations during human walking, Five subjects walk first on a treadmill at various speeds on the level, and at positive and negative inclines. Then, the subjects performed a self-pace walking on an outd ...