Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Antonis Perdikaris"'
Population Growth Changes in Major Stored Product Insects on Rice Fortified with Spearmint and Basil
Autor:
Paraskevi Agrafioti, Evagelia Lampiri, Panagiotis E. Igoumenidis, Vaios T. Karathanos, Antonis Perdikaris, Christos G. Athanassiou
Publikováno v:
Agronomy, Vol 12, Iss 9, p 2088 (2022)
Rice is the most important durable food product for more than half of the world’s population, as it is very nutritious food in terms of carbohydrate containment and can meet a large part of human caloric needs on a daily basis. The sensitivity of a
Externí odkaz:
https://doaj.org/article/9a14f3a6d7bf4a75a79069bc5acd512f
Publikováno v:
Sensors; Volume 9; Issue 3; Pages: 2176-2186
Sensors (Basel, Switzerland)
Sensors, Vol 9, Iss 3, Pp 2176-2186 (2009)
Sensors (Basel, Switzerland)
Sensors, Vol 9, Iss 3, Pp 2176-2186 (2009)
A novel miniature cell biosensor detection system for the detection of Hepatis B virus (HBV)-associated antigens and anti-HBV is described. The biosensor is based on "membrane-engineered" Vero fibroblast cells immobilized in an alginate matrix. The m
Autor:
Dimitris Frosyniotis, Ioannis Anthopoulos, Nikos Vassilakos, Katerina Vitsa, Dimitrina Kostova, Georgia Moschopoulou, Alexandros Michaelides, Velichka Rodeva, Olga Mangana, Alex Simonian, Frederic Bem, Antonis Perdikaris, Petros Blouhos, Spiridon Kintzios, Kiki Nomikou, Costas P. Yialouris, Stanislava Grozeva
Publikováno v:
Biosensors and Bioelectronics. 24:1027-1030
A novel concept for the assay of viral antigens is described. The methodological approach is based on a membrane-engineering process involving the electroinsertion of virus-specific antibodies in the membranes of fibroblast cells. As a representative
Autor:
V. A. Plastira, Antonis Perdikaris
Publikováno v:
Acta Horticulturae. :231-234
Autor:
Spiros Kintzios, C. P. Yialouris, Dimitrios S. Frossyniotis, Yannis Anthopoulos, Antonis Perdikaris
Publikováno v:
Artificial Neural Networks – ICANN 2006 ISBN: 9783540388715
ICANN (2)
ICANN (2)
Several researchers have shown that substantial improvements can be achieved in difficult pattern recognition problems by combining the outputs of multiple neural networks. In this work, we present and test a multi-net system for the detection of pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a21701a68bd723bfeca6d0b02d8e9aff
https://doi.org/10.1007/11840930_41
https://doi.org/10.1007/11840930_41
Autor:
Agrafioti, Paraskevi1 (AUTHOR) agrafiot@agr.uth.gr, Lampiri, Evagelia1 (AUTHOR), Igoumenidis, Panagiotis E.2 (AUTHOR), Karathanos, Vaios T.2 (AUTHOR), Perdikaris, Antonis2 (AUTHOR), Athanassiou, Christos G.1 (AUTHOR)
Publikováno v:
Agronomy. Sep2022, Vol. 12 Issue 9, p2088-2088. 10p.
This book includes the proceedings of the International Conference on Artificial Neural Networks (ICANN 2006) held on September 10-14, 2006 in Athens, Greece, with tutorials being presented on September 10, the main conference taking place during Sep