Institution
University of Piraeus
Education•Piraeus, Attiki, Greece•
About: University of Piraeus is a education organization based out in Piraeus, Attiki, Greece. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 1731 authors who have published 6209 publications receiving 106699 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors developed a regression model of energy efficiency as a function of environmental conditions, building characteristics and passive solar technologies and found that taller and leaner buildings tended to be more energy efficient.
114 citations
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TL;DR: The results suggest that models which include only technical efficiency, significantly overestimate it, while parameter estimates from the model that includes both technical and allocative efficiency are very close to the ones obtained from the Bayesian approach, enhancing confidence in the proposed methodology.
113 citations
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15 Mar 1999TL;DR: Correct classification scores ranging from 80% to 100% in experiments conducted on real data, show evidence that the EEG indeed carries genetic information and that the proposed method can be used to construct person identification tests based on EEG features.
Abstract: A direct connection between the electroencephalogram (EEG) and the genetic information of an individual has been suspected and investigated by neurophysiologists and psychiatrists since 1960. However, most of this early as well as more recent research focuses on the classification of pathological EEG cases, aiming to construct tests for purposes of diagnosis. On the contrary, our work focuses on healthy individuals and aims to establish an one-to-one correspondence between the genetic information of the individual and certain features of his/her EEG, as an intermediate step towards the further goal of developing a test for person identification based on features extracted from the EEG. Potential applications include, among others, information encoding and decoding and access to secure information. At the present stage the proposed method uses spectral information extracted from the EEG non-parametrically via the FFT and employs a neural network (a learning vector quantizer-LVQ) to classify unknown EEGs as belonging to one of a finite number of individuals. Correct classification scores ranging from 80% to 100% in experiments conducted on real data, show evidence that the EEG indeed carries genetic information and that the proposed method can be used to construct person identification tests based on EEG features.
112 citations
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TL;DR: This review aims at analysing the use of port related simulation models and ultimately at assessing their contribution into building the research knowledge necessary to promote sustainable ship-port interfaces and freight transport chains.
Abstract: The simulation modelling of shore- and sea-side port operations constitutes a fundamental prerequisite for effective project planning in port development, as the influence of numerous often interactive parameters has to be addressed at an early stage to account for the optimum supply of port facilities and services to current and future demand. This paper presents a detailed review of the available research literature on the application of simulation models in port development, through extensive reference to published journal papers from the onset of the relevant simulation modelling and through the course of the past 54 years (1961–2015). With focus on container terminals, this review aims at analysing the use of port related simulation models and ultimately at assessing their contribution into building the research knowledge necessary to promote sustainable ship-port interfaces and freight transport chains. It was found that over the past 50 years the use of simulation models has been increasingly favoured and instrumental in the development of ports and more specifically of container terminals. Most of the research literature addresses operational issues, accounting for its highest concentration and coherence in the research field of operations research, although the need to utilise the wide-ranging capabilities of simulation modelling in order to offer integrated solutions is recently promoting the dissemination of the relevant literature through sector-specific (i.e. transport and maritime) research fields. Finally, the observed tendency to employ simulation tools which offer the most realistic results reflects the research effort to ensure that simulation modelling offers tangible solutions to the maritime and transport industry.
112 citations
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TL;DR: This paper introduces and evaluates learning schemes that are based on artificial neural networks and can be used for predicting the capabilities that can be achieved by a specific radio configuration, and presents and evaluates useful, indicative results from the benchmarking work.
111 citations
Authors
Showing all 1766 results
Name | H-index | Papers | Citations |
---|---|---|---|
Nicholas Apergis | 56 | 445 | 14876 |
Natalia Andrienko | 52 | 253 | 11239 |
Yannis Theodoridis | 47 | 223 | 9426 |
Marianna Sigala | 44 | 218 | 7458 |
George P. Patrinos | 43 | 353 | 8785 |
Abbas Jamalipour | 43 | 518 | 11332 |
Anastasios Tselepides | 40 | 78 | 4948 |
Stefanos Gritzalis | 40 | 312 | 5425 |
Stefan Schwarz | 37 | 209 | 4544 |
Demetrios G. Sampson | 36 | 306 | 4886 |
Christos Douligeris | 36 | 347 | 4835 |
Alexander Artikis | 35 | 158 | 3217 |
Michael H. Neumann | 34 | 105 | 3415 |
Ilias Maglogiannis | 33 | 273 | 4810 |
Gregoris Mentzas | 32 | 257 | 4293 |