Πλοήγηση ανά Θέμα "Principal component analysis"

Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images

Georgakopoulos, S. V.; Tasoulis, S. K.; Plagianakos, V. P.; Maglogiannis, I. (2013)

In this study we present a computer assisted image identification and recognition tool that aims to help the diagnosis of idiopathic pulmonary fibrosis in microscopy images. To this end, we use principal components analysis ...

Assessment of natural and anthropogenic impacts in groundwater, utilizing multivariate statistical analysis and inverse distance weighted interpolation modeling: the case of a Scopia basin (Central Greece)

Charizopoulos N., Zagana E., Psilovikos A. (2018)

In Scopia basin, central Greece, a hydrochemical investigation was completed. Groundwater samples from 41 sites were used to assess the natural and anthropogenic impacts in groundwater, utilizing the principal component ...

Classification of apoptosis using advanced clustering techniques on digital microscopic images

Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2010)

Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ...

Clustering of high dimensional data streams

Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2012)

Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ...

A comparative analysis of Statistical and Computational Intelligence methodologies for the prediction of traffic-induced fine particulate matter and NO2

Kokkinos K., Karayannis V., Nathanail E., Moustakas K. (2021)

With the urbanization increase, urban mobility and transportation induce higher traffic volumes causing environmental, economic and social impacts. This is due to continuous usage of fossil fuel energy resources generating ...

Cough Sound Classification Based on Similarity Metrics

Petrellis N., Adam G.K. (2021)

Cough and respiratory sound processing can assist in the early diagnosis of infections such as Covid-19. Even asymptomatic Covid-19 patients can be diagnosed early enough if appropriate speech modeling and signal-processing ...

Damage detection in flexible plates through reduced-order modeling and hybrid particle-Kalman filtering

Capellari G., Eftekhar Azam S., Mariani S. (2016)

Health monitoring of lightweight structures, like thin flexible plates, is of interest in several engineering fields. In this paper, a recursive Bayesian procedure is proposed to monitor the health of such structures through ...

Density based projection pursuit clustering

Tasoulis, S. K.; Epitropakis, M. G.; Plagianakos, V. P.; Tasoulis, D. K. (2012)

Clustering of high dimensional data is a very important task in Data Mining. In dealing with such data, we typically need to use methods like Principal Component Analysis and Projection Pursuit, to find interesting lower ...

Economic crisis and food selection: The financial, social and spatial dimension

Vlontzos, G.; Duquenne, M. N. (2014)

The aim of this paper is to examine the changes on food consumption patterns of Greek households, following the economic crisis in Greece and the austerity measures that have greatly reduced the households' incomes. Six ...

Efficient change detection for high dimensional data streams

Georgakopoulos S.V., Tasoulis S.K., Plagianakos V.P. (2015)

The recent technological advancements in cloud computing and the access in increasing computational power has led in undertaking the data processing derived by mobile devices. In particular, when these data are high ...

Enhancing principal direction divisive clustering

Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2010)

While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is ...

Environmental geochemical research for the levels and the sources of toxic metals in the agricultural soils of dimitraeleftherion and platycampos region, Thessaly, Greece

Skordas, K.; Alexakis, D.; Kelepertsis, E.; Kelepertsis, A. (2007)

The contents of eleven elements (Cu, Pb, Zn, Ni, Co, Mn, Fe, As, V, Cr and Mg) have been assayed in the agricultural soils of Dimitra-Eleftherion and Platycampos region (Thessaly, Greece). One hundred twenty two top soil ...

Evolutionary principal direction divisive partitioning

Tasoulis, S. K.; Tasoulis, D. K.; Plagianakos, V. P. (2010)

While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ...

Factors affecting the distribution of potentially toxic elements in surface soils around an industrialized area of northwestern Greece

Petrotou, A.; Skordas, K.; Papastergios, G.; Filippidis, A. (2012)

In order to investigate the factors influencing the distribution of 32 potentially toxic elements in the Ptolemais-Kozani basin, northwestern Greece, 38 soil samples were collected and analyzed. Concentrations of Al, Ca, ...