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Maria Perraki, Vasilios Skliros, Petros Mecaj, Eleni Vasileiou, Christos Salmas, Ioannis Papanikolaou and Georgios Stamatis
Sixteen surface (5) and groundwater (11) samples were collected from the south-eastern part of Attica, Greece, and analysed for physico-chemical parameters and microplastics (MPs) by optical microscopy and Raman microspectroscopy (RS). A total of 3399 pa...
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Dionysios Stamatis, Alexandros Emmanouilidis, Alessia Masi, Adam Izdebski and Pavlos Avramidis
This research presents the paleoenvironmental evolution of a drained lake at the Lousoi plateau (northern Peloponnese), for the last 10,000 years, through the study of a 7 m depth core. Analyses conducted on the core include grain size, TOC, TN, pH, EC, ...
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Stamatis C. Batelis and Ioannis Nalbantis
The hydrological impact of large-scale forest fires in a large basin is investigated on both a daily and an hourly basis. A basin of 877 km2 was chosen, with 37% of its area having been burnt in the summer of 2007. Five models are employed, namely SWAT (...
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Nicholas Dercas, Nicolas R. Dalezios, Stamatis Stamatiadis, Eleftherios Evangelou, Antonios Glampedakis, Georgios Mantonanakis and Nicholaos Tserlikakis
AquaCrop is a well-known water-oriented crop model. The model has been often used to simulate various crops and the water balance in the field under different irrigation treatments, but studies that relate AquaCrop to fertilization are rare. In this stud...
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Stefanos Georganos and Stamatis Kalogirou
The aim of this paper is to present developments of an advanced geospatial analytics algorithm that improves the prediction power of a random forest regression model while addressing the issue of spatial dependence commonly found in geographical data. We...
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Aynaz Lotfata, Stefanos Georganos, Stamatis Kalogirou and Marco Helbich
Some studies have established relationships between neighborhood conditions and health. However, they neither evaluate the relative importance of neighborhood components in increasing obesity nor, more crucially, how these neighborhood factors vary geogr...
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Michael Stamatis, Nikolaos Hatzianastassiou, Marios Bruno Korras-Carraca, Christos Matsoukas, Martin Wild and Ilias Vardavas
This study assesses and evaluates the 40-year (1980?2019) Modern-Era Retrospective Analysis for Research and Applications v.2 (MERRA-2) surface solar radiation (SSR) as well as its interdecadal changes (?(SSR)) against high quality reference surface meas...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
Multi-view learning is a machine learning app0roach aiming to exploit the knowledge retrieved from data, represented by multiple feature subsets known as views. Co-training is considered the most representative form of multi-view learning, a very effecti...
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Stamatis Karlos, Georgios Kostopoulos and Sotiris Kotsiantis
In recent years, a forward-looking subfield of machine learning has emerged with important applications in a variety of scientific fields. Semi-supervised learning is increasingly being recognized as a burgeoning area embracing a plethora of efficient me...
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Nikolaos Soulakellis, Christos Vasilakos, Stamatis Chatzistamatis, Dimitris Kavroudakis, Georgios Tataris, Ermioni-Eirini Papadopoulou, Apostolos Papakonstantinou, Olga Roussou and Themistoklis Kontos
Geoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim of this paper is to present the methodology followed and the results obtained by the utilization of Unmanned Aircraft Systems (UASs) 4K-video footage...
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