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Usage of the graph clustering algorithm to the recognition of geotechnical layers

100%

Rabarijoely S., Bilski P., Falkowski T.

Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation

2007

nr 38

57-67

The aim of the paper is to present the approach to the application of the graph clustering algorithm to the recognition of geotechnical layers from the dilatometer tests. Results of the measurements obtained from the DMT test in the test site (subsoil of one of the buildings in the Warsaw University of Life Sciences campus) were analyzed by the clustering algorithm which was able to extract the separate groups of the measurements, representing identical soil type. This method is parameterized, so its verifi cation by the geotechnical experts was necessary to determine the optimal parameter values. They lead to the determination of the soil types as close to the actual situation, as possible. Also, the output of the algorithm was analyzed by the geotechnical experts to identify and label the extracted soil types.

Molecular characterization of Iranian black cumin (Nigella sativa L.) accessions using RAPD marker

67%

Neghab M. G., Panahi B.

BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology

2017

tom 98

nr 2

Ograniczanie wyników

1 Annals of Warsaw University of Life Sciences - SGGW. Land Reclamation

1 BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology

1 Bilski P.

1 Falkowski T.

1 Neghab M. G.

1 Panahi B.

1 Rabarijoely S.

1 2017

1 2007

Wyniki wyszukiwania

Usage of the graph clustering algorithm to the recognition of geotechnical layers

Molecular characterization of Iranian black cumin (Nigella sativa L.) accessions using RAPD marker