Zobrazeno 1 - 10
of 302
pro vyhledávání: '"Efstathiou, C.E"'
Autor:
Helali, S., Abdelghani, A., Jaffrezic-Renault, N., Trikalitis, P.N., Efstathiou, C.E., Prodromidis, M.I.
Publikováno v:
In Electrochimica Acta 2010 55(14):4256-4260
Autor:
Farmaki, E.G. Thomaidis, N.S. Pasias, I.N. Rousis, N.I. Baulard, C. Papaharisis, L. Efstathiou, C.E.
Aquaculture production has globally increased and its environmental impact is not well understood and assessed yet. Therefore, in this work nine metals and metalloids (Cu, Cd, Pb, Hg, Ni, Fe, Mn, Zn and As) and three nutrients (P, N and C) that seem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::ab5169564b2176320d8de7dfdc329404
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3005257
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3005257
Publikováno v:
In Analytica Chimica Acta 2002 467(1):179-188
Autor:
Volikakis, G.J, Efstathiou, C.E *
Publikováno v:
In Talanta 2000 51(4):775-785
This work reports the design and construction of a novel potentiostat which features an integrator transimpedance amplifier as a current-monitoring unit. The integration approach addresses the limitations of the feedback resistor approach used for cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::8ef882b767caa510ecee79c850215e9a
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3072694
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3072694
Autor:
Tsikas, Dimitrios1 (AUTHOR) tsikas.dimitros@mh-hannover.de
Publikováno v:
Journal of Clinical Medicine. Dec2024, Vol. 13 Issue 23, p7276. 14p.
The impact of intensive aquaculture activities on marine sediments along three coastal areas in Greece was studied. The content of nine metals/metalloids (Cu, Cd, Pb, Hg, Ni, Fe, Mn, Zn, As), and three nutrients (P, N and C), that seem to accumulate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::a1f150e654e87f074959792f12b96e70
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3006026
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3006026
Neural networks are powerful tools that could explore the basic structure of environmental data. In this work, the most common artificial neural network (ANN) architectures, multi-layer perceptrons (MLPs), radial basis function (RBF) and Kohonen's se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::5ebbae1f2cc4db755c76bb1a6e191d84
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3006128
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3006128
Different ANNs models [Multi-layer Perceptrons (MLPs) and Radial Basis Function (RBF)] were developed and evaluated for the discrimination of olive oils produced in four Greek regions according to their geographical origin. For this purpose, ninety-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::269b4e302a1f627fb33388d35f0a0315
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3067164
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3067164
Artificial neural networks (ANNs) are being used increasingly to predict water variables. This study offers an alternative approach to quantify the relationship between time of chlorination in potable water (due to convectional treatment procedure) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::68b9ca56b09ce8217ae5a904df26389e
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3058155
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3058155