Πρόσφατες Δημοσιεύσεις

2022

1.

Krouska, Akrivi; Kabassi, Katerina; Troussas, Christos; Sgouropoulou, Cleo

Personalizing Environmental Awareness through Smartphones Using AHP and PROMETHEE II Journal Article

In: Future Internet, vol. 14, no. 2, pp. 66, 2022, ISSN: 1999-5903.

Links | BibTeX

2.

Kanetaki, Zoe; Stergiou, Constantinos; Bekas, Georgios; Troussas, Christos; Sgouropoulou, Cleo

Evaluating Remote Task Assignment of an Online Engineering Module through Data Mining in a Virtual Communication Platform Environment Journal Article

In: Electronics, vol. 11, no. 1, pp. 158, 2022, ISSN: 2079-9292.

Links | BibTeX

3.

Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo

Enriching Mobile Learning Software with Interactive Activities and Motivational Feedback for Advancing Users’ High-Level Cognitive Skills Journal Article

In: Computers, vol. 11, no. 2, pp. 18, 2022, ISSN: 2073-431X.

Links | BibTeX

2021

4.

Kanetaki, Zoe; Stergiou, Constantinos; Bekas, Georgios; Troussas, Christos; Sgouropoulou, Cleo

Analysis of Engineering Student Data in Online Higher Education During the COVID-19 Pandemic Journal Article

In: International Journal of Engineering Pedagogy (iJEP), vol. 11, no. 6, pp. pp. 27–49, 2021.

Links | BibTeX

5.

Krouska, A.; Troussas, Ch.; Sgouropoulou, C.

A Cognitive Diagnostic Module Based on the Repair Theory for a Personalized User Experience in E-Learning Software Journal Article

In: Computers , vol. 10, no. 11, pp. 140, 2021.

Abstract | Links | BibTeX

 
Ημερίδες – Συνέδρια

Novelties in Intelligent Digital Systems

nids2021

Novelties in Intelligent Digital Systems

NiDS places a special emphasis on the novelties of intelligent systems and on the interdisciplinary research for enabling, supporting and promoting AI in software development. It regroups and promotes high-quality research, creating a forum for challenges and novel advancements in AI to be explored. It triggers an exchange of ideas in this field, reinforcing and expanding the network of researchers, academics, and market representatives. NiDS refers to both experts/researchers and readers in the fields of artificial and computational intelligence in systems, as well as computer science in general, who wish to learn more about the pertinent fields which are strongly related and mutually complementary.