نتایج جستجو برای: marble

تعداد نتایج: 2125  

2017
M. C. Murray G. Vizzeri G. Taibbi S. S. Mason M. H. Young S. B. Zanello P. A. Parsons-Wingerter

MEMBERS AND HDT SUBJECTS BY VESGEN ANALYSIS M. C. Murray, G. Vizzeri, G. Taibbi, S. S. Mason, M. H. Young, S. B. Zanello, P. A. Parsons-Wingerter Ames Research Center, NASA, Mountain View CA, Blue Marble Science Institute of Space, Department of Ophthalmology and Visual Sciences, University of Texas Medical Branch, Galveston TX, MEI Technologies, 5 NASA Johnson Space Center, Houston TX , KBRwyle .

Journal: :Eos, Transactions American Geophysical Union 2014

Journal: :European Journal of Technic 2020

Journal: :International Journal of Clinical Pediatric Dentistry 2010

2015
J. G. Blank A. M. Ollila N. L. Lanza O. Forni N. Mangold M. Nachon S. M. Clegg A. Yen S. Maurice R. C. Wiens

Lanza, O. Forni, N. Mangold, M. Nachon, S. M. Clegg, A. Yen, S. Maurice, R. C. Wiens, NASA Ames Research Center, Moffett Field CA USA, Blue Marble Space Institute of Science, Seattle WA USA, Chevron Energy Technology Company, Houston TX USA,Los Alamos National Laboratory, Los Alamos, NM USA, Univ. Toulouse & CNRS, IRAP, Toulouse, France, Univ. Nantes & CNRS, Nantes, France, JPL Pasadena CA USA

2016
Manish Kumar Rajesh Kumar Gazara Sandhya Verma Madan Kumar Praveen Kumar Verma Indu Shekhar Thakur

The Serratia sp. strain ISTD04 has been identified as a carbon dioxide (CO2)-sequestering bacterium isolated from marble mining rocks in the Umra area, Rajasthan, India. This strain grows chemolithotrophically on media that contain sodium bicarbonate (NaHCO3) as the sole carbon source. Here, we report the genome sequence of 5.07 Mb Serratia sp. ISTD04.

2000

This study focuses on a feature extraction algorithm for classification of marble tiles. The color content and vein distribution are considered to be the main criteria for classification. A color segmentation algorithm is used for detection of veins. The shape analysis of the veins are done by utilizing the distance image.

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