Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Achilleas Anastasiou"'
Autor:
Mircea Bajdechi, Adriana Gurghean, Vlad Bataila, Alexandru Scafa-Udriste, Roxana Radoi, Anca Cristiana Oprea, Adrian Marinescu, Stefan Ion, Valentin Chioncel, Alina Nicula, Achilleas Anastasiou, Georgiana-Elena Bajdechi, Ilinca Savulescu-Fiedler, Irina Magdalena Dumitru, Sorin Rugina
Publikováno v:
Diagnostics, Vol 13, Iss 9, p 1526 (2023)
People living with human immunodeficiency virus have increased cardiovascular risk due to a higher prevalence of traditional and particular risk factors such as chronic inflammation, immune dysregulation, endothelial dysfunction, coagulation abnormal
Externí odkaz:
https://doaj.org/article/887c3ae3bafc47978fb915ca0980e8b9
Publikováno v:
Mathematics, Vol 9, Iss 21, p 2708 (2021)
In this work, we focus on the development of new distance measure algorithms, namely, the Causality Within Groups (CAWG), the Generalized Causality Within Groups (GCAWG) and the Causality Between Groups (CABG), all of which are based on the well-know
Externí odkaz:
https://doaj.org/article/fb23504d23f24182bcff01db1ad0188b
Autor:
Nicoleta Darra, Emmanouil Psomiadis, Aikaterini Kasimati, Achilleas Anastasiou, Evangelos Anastasiou, Spyros Fountas
Publikováno v:
Agronomy, Vol 11, Iss 4, p 741 (2021)
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring, and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in this study, Precision Viticulture (PV) methods using proximal- and
Externí odkaz:
https://doaj.org/article/848dd9237c0d4aee826205f06aed7a1e
Publikováno v:
Biometrical Letters. 57:237-251
Summary The normal distribution is considered to be one of the most important distributions, with numerous applications in various fields, including the field of agricultural sciences. The purpose of this study is to evaluate the most popular normali
Autor:
Achilleas Anastasiou, Emmanouil Psomiadis, Aikaterini Kasimati, Spyros Fountas, Evangelos Anastasiou, Nicoleta Darra
Publikováno v:
Agronomy
Volume 11
Issue 4
Agronomy, Vol 11, Iss 741, p 741 (2021)
Volume 11
Issue 4
Agronomy, Vol 11, Iss 741, p 741 (2021)
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring, and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in this study, Precision Viticulture (PV) methods using proximal- and