Zobrazeno 1 - 10
of 42
pro vyhledávání: '"George Papadourakis"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 4 (2016)
A general Methodology referred to as Daphne is introduced which is used to find optimum combinations of methods to preprocess and forecast for time-series datasets. The Daphne Optimization Methodology (DOM) is based on the idea of quantifying the eff
Externí odkaz:
https://doaj.org/article/f282d7a3ea8d4e748d86426fad8f463a
Autor:
Nikolas Vidakis, Ilias Logothetis, Konstantinos Katsios, George Papadourakis, Iraklis Katsaris
Publikováno v:
Learning and Collaboration Technologies: Games and Virtual Environments for Learning ISBN: 9783030779429
HCI (24)
HCI (24)
Augmented Reality in combination with playful learning is used to enhance students’ engagement in blended learning environments. This paper presents an AR game with hand tracking & hand interaction that transforms the classic Hangman word game. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23cdadc6eec8caa27822d4540a4298ae
https://doi.org/10.1007/978-3-030-77943-6_4
https://doi.org/10.1007/978-3-030-77943-6_4
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 4 (2016)
A general Methodology referred to as Daphne is introduced which is used to find optimum combinations of methods to preprocess and forecast for time-series datasets. The Daphne Optimization Methodology (DOM) is based on the idea of quantifying the eff
Publikováno v:
Industry and Higher Education. 22:137-144
This special issue of Industry and Higher Education is devoted to a selection of papers from the Fifth International Conference on ‘New Horizons in Industry, Business and Education’ (NHIBE 2007) held on the island of Rhodes, Greece, in August 200
Publikováno v:
SITIS
Knowledge is only valuable when it can be used efficiently and effectively, therefore knowledge management is increasingly being recognized as a key element in extracting its value. Feature selection and dimensionality reduction can be used for that
Publikováno v:
Industry and Higher Education. 14:68-72
This special issue of Industry and Higher Education is devoted to a selection of papers from the International Conference ‘New Horizons in Industry and Education’ held on the island of Santorini, Greece in September 1999. In this introductory pap
Publikováno v:
International Journal on Artificial Intelligence Tools
Hidden Markov models (HMMs) are a popular approach for modeling sequential data, typically based on the assumption of a first-order Markov chain. In other words, only one-step back dependencies are modeled which is a rather unrealistic assumption in
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642309496
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a25cc858e8cea7d961a575f8e34d9a8f
https://doi.org/10.1007/978-3-642-30950-2
https://doi.org/10.1007/978-3-642-30950-2
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783642334115
AIAI (2)
AIAI (2)
Air pollution can affect health and well-being of people and eco-systems. Due to the health risk posed for sensitive population groups, it is important to provide with hourly and daily forecasts of air pollution. One way to assess air pollution is to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71cdd7a7e481642f12e60b1171be7ddf
https://doi.org/10.1007/978-3-642-33412-2_40
https://doi.org/10.1007/978-3-642-33412-2_40
Publikováno v:
Artificial Neural Networks – ICANN 2010 ISBN: 9783642158247
ICANN (3)
ICANN (3)
Air quality has a direct impact on the quality of life and on the general environment. Understanding and managing urban air quality is a suitable problem domain for the application of artificial intelligence (AI) methods towards knowledge discovery f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c93f813d1f78f6f4fc48cce984362702
https://doi.org/10.1007/978-3-642-15825-4_61
https://doi.org/10.1007/978-3-642-15825-4_61