Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Bruno M. S. Wanderley"'
Autor:
Bruno M. S. Wanderley, Daniel S. A. Araújo, María V. Quiroga, André M. Amado, Adrião D. D. Neto, Hugo Sarmento, Sebastián D. Metz, Fernando Unrein
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Flow cytometry (FCM) is one of the most commonly used technologies for analysis of numerous biological systems at the cellular level, from cancer cells to microbial communities. Its high potential and wide applicability led to the
Externí odkaz:
https://doaj.org/article/a228d282348d463a913708f3a8aeec16
Publikováno v:
Journal of Forensic Sciences. 61:1112-1115
This study investigated the potential effects of flunitrazepam (known as "date rape drug") on the developmental cycle of Chrysomya megacephala, an important forensic species, and their possible implications for the calculation of the PMI. A 1050 C. m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::838c17c1d9df50f2e23fd17cb2d18423
https://doi.org/10.1111/1556-4029.13104
https://doi.org/10.1111/1556-4029.13104
Autor:
Daniel S. A. de Araujo, Bruno M. S. Wanderley, Adrião Duarte Dória Neto, Elionai Moura Cordeiro
Publikováno v:
2017 International Conference on Computational Science and Computational Intelligence (CSCI).
This paper shows the results of a methodology proposal for bacterioplankton identification using a machine learning approach named SVM. Samples used were taken from 19 high elevated lakes located at Pyrenees Mountains. Samples generated 74 databases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a80ed38733cc6c66454f4e1c833c909
https://doi.org/10.1109/csci.2017.222
https://doi.org/10.1109/csci.2017.222