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Πλοήγηση ανά Θέμα "Artificial intelligence"

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Αποτελέσματα 41-60 από 102

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    • Thumbnail

      A hybrid classification algorithm evaluated on medical data 

      Michelakos, I.; Papageorgiou, E.; Vasilakopoulos, M. (2010)
      Ant colony optimization algorithms have been applied successfully to data mining classification problems. Recently, an improved version of cAnt-Miner (Ant-Miner coping with continuous attributes), called cAnt-Miner2, has ...
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      Hydrogen storage station location selection in sustainable freight transportation via intuitionistic hesitant decision support system 

      Kokkinos K., Nathanail E., Gerogiannis V., Moustakas K., Karayannis V. (2022)
      Increasingly fierce competition in energy industry for alternative fuels has raised demand for fuel storage stations to be one of the pivots towards sustainable urban freight transportation. For zero-emission hydrogen-powered ...
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      Independent component clustering for skin lesions characterization 

      Tasoulis, S. K.; Doukas, C. N.; Maglogiannis, I.; Plagianakos, V. P. (2011)
      In this paper, we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ...
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      An information system for judicial and public administration using artificial intelligence and geospatial data 

      Kouziokas G.N. (2017)
      The adoption of information technology in judicial and public administration has become a major need nowadays with the rapid growth of information regarding managerial issues. This paper presents an advanced methodology ...
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      An integrated multicriteria analysis tool for evaluating water resource management strategies 

      Alamanos A., Mylopoulos N., Loukas A., Gaitanaros D. (2018)
      Water is involved, directly or indirectly, with many activities and needs that have to be met. The large scale and importance of water projects, the investments needed, the difficulty in predicting the results, and the ...
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      Intelligent identification of biomarkers for the study of obstructive nephropathy 

      Valavanis, I.; Maglogiannis, I.; Chatziioannou, A. (2013)
      Obstructive Nephropathy (ON) is a renal disease, which pathological profile is the result of various, tightly coupled and co-regulated, molecular processes, pervading various layers of molecular dissection. In this context, ...
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      An intelligent scheme for the identification of QoS violations in virtualized environments 

      Kolomvatsos K., Koziri M., Loukopoulos T. (2018)
      Current networking applications involve the definition and utilization of multiple virtualized resources on top of the available infrastructure. Software defined networks increase the performance compared with legacy systems ...
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      Intelligent selection of human miRNAs and mouse mRNAs related to obstructive nephropathy 

      Valavanis, I.; Moulos, P.; Maglogiannis, I.; Klein, J.; Schanstra, J.; Chatziioannou, A. (2011)
      Obstructive Nephropathy (ON) is a renal disease and its pathology is believed to be magnified by various molecular processes. In the current study, we apply an intelligent workflow implemented in Rapidminer data mining ...
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      An intelligent tool for anatomical object segmentation using deformable surfaces 

      Delibasis, K. K.; Christodoulidis, A.; Maglogiannis, I. (2012)
      Image segmentation is a very active area of research in machine vision. In this work, an innovative methodology is presented that allows the segmentation of objects in three-dimensional images with initial user intervention. ...
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      Introducing Fuzzy Cognitive Maps for decision making in precision agriculture 

      Markinos, Ath; Papageorgiou, El; Stylios, Chr; Gemtos, Th (2007)
      A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of ...
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      Introducing intelligence in electronic healthcare systems: State of the art and future trends 

      Maglogiannis, I. (2009)
      This chapter introduces intelligent technologies applied in electronic healthcare systems and services. It presents an overview of healthcare technologies that enable the advanced patient data acquisition and management ...
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      A learning approach for strategic consumers in smart electricity markets 

      Foti M., Vavalis M. (2016)
      In this paper we consider the design and the implementation of a machine learning approach and its integration with a widely used energy simulation platform. We focus on auction based energy markets which require their ...
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      Limiting the impact of statistics as a proverbial source of falsehood 

      Kiouvrekis Y., Stefaneas P., Kokkinaki A., Asimakis N. (2019)
      This paper presents an early version of a decision-making “eco” system. We refer to it as an “eco” system because it is primarily based on mathematical logic and combines concepts and principles from the fields of statistics, ...
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      Machine learning technique in time series prediction of gross domestic product 

      Kouziokas G.N. (2017)
      Artificial intelligence is gaining ground the last years in many scientific sectors with the development of new machine learning techniques. In this research, a machine learning methodology is proposed in the Gross Domestic ...
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      Maintaining Dimension's history in data warehouses effectively 

      Atay C.E., Garani G. (2019)
      A data warehouse is considered a key aspect of success for any decision support system. Research on temporal databases have produced important results in this field, and data warehouses, which store historical data, can ...
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      Mapping the optimal forest road network based on the multicriteria evaluation technique: the case study of Mediterranean Island of Thassos in Greece 

      Tampekis S., Sakellariou S., Samara F., Sfougaris A., Jaeger D., Christopoulou O. (2015)
      The sustainable management of forest resources can only be achieved through a well-organized road network designed with the optimal spatial planning and the minimum environmental impacts. This paper describes the spatial ...
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      Multi-pose volume reconstruction across arbitrary trajectory from multiple Fisheye cameras 

      Kottari K., Delibasis K. (2015)
      Volume reconstruction from silhouettes is a known subject in the case of projective cameras. The use of dioptric omni-directional cameras (fisheye) that exhibit semispheric Field of View (FoV) allows simultaneous imaging ...
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      A multilateral design process of decision support systems: Some issues 

      Sagheb-Tehrani, M.; Manussaridis, Z.; Maysami, R. C. (2005)
      A discussion is presented of why some Decision Support Systems (DDS) that some firms have developed cannot satisfy the users' needs. Trying to develop a specific Decision Support System (DSS) for Vehicle Routing and ...
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      Multilayer Feed Forward Models in Groundwater Level Forecasting Using Meteorological Data in Public Management 

      Kouziokas G.N., Chatzigeorgiou A., Perakis K. (2018)
      Managing the groundwater resources is very vital for human life. This research proposes a methodology for predicting the groundwater levels which can be very valuable in water resources management. This study investigates ...
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      Multiobjective unfolding of shared power consumption pattern using genetic algorithm for estimating individual usage in smart cities 

      Alamaniotis M., Tsoukalas L.H., Fevgas A., Tsompanopoulou P., Bozanis P. (2016)
      In smart cities residential homes are fully equipped with information networking and computing technologies and are connected to the power grid via intelligent meters. Connectivity of meters allows formation of groups of ...
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