Stelios Pantelopoulos

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The paper presents an approach towards executing transactions between enterprises, governmental bodies and banking institutions, based on ERP applications connected over the Internet. The work builds on a review of current XML standards for representing business processes and data (e.g. ebXML, UN/EDIFACT, RosettaNet, ebisXML) as well as standards for the(More)
OBJECTIVE The aim of this paper was to assess the efficacy of process-based cognitive training (pb-CT) combined with reminiscence therapy (RT) in patients with mild Alzheimer's disease (mAD) and mild cognitive impairment (MCI) and in healthy elderly (HE) subjects. METHODS This multicenter, randomized, controlled trial involved 348 participants with mAD,(More)
BACKGROUND Falling is a major clinical problem in elderly people, demanding effective solutions. At present, the only effective intervention is motor training of balance and strength. Executive function-based training (EFt) might be effective at preventing falls according to evidence showing a relationship between executive functions and gait abnormalities.(More)
Falls are prominent among the causes of unintentional injury, particularly for the elderly, bringing serious socioeconomic impact to ageing societies. To address these challenges, ICT have recently demonstrated their potential in providing fall prevention solutions to the elderly. KINOPTIM project contributes towards this direction by developing a homecare(More)
The RELATE Initial Training Network (ITN), funded by the EU in the Marie Curie Actions programme, is a multidisciplinary training network of European academic and industrial partners working together to train academic researchers and next generation experts in the area of engineering and provisioning of service-based Cloud applications. In this paper, we(More)
This paper will present ELEVATE that aims to deliver an innovative training, educational and certification environment integrating the application software to be taught with the training procedure. ELEVATE aspires to address the training needs of software development SMEs and the solution proposed is based on three basic notions: to provide competence(More)
Modern surveillance systems consist of multiple, geographically dispersed cameras, increasing the technical and scalability challenges for person re-identification. In this context, the use of geographical information to boost the effectiveness of a state-of-the-art re-identification algorithm has been implemented and evaluated, by leveraging the prediction(More)