Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Dusan Fister"'
Autor:
Dusan Fister, Jorge Pérez-Aracil, César Peláez-Rodríguez, Marie Drouard, Pablo G. Zaninelli, David Barriopedro Cepero, Ricardo García-Herrera, Sancho Salcedo-Sanz
To organise weather data as images, pixels represent coordinates and magnitude of pixels represents the state of the observed variable in a given time. Observed variables, such as air temperature, mean sea level pressure, wind components and others,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84ce245131873993a5184e4600c71d60
https://doi.org/10.5194/egusphere-egu23-7457
https://doi.org/10.5194/egusphere-egu23-7457
Publikováno v:
Lex localis - Journal of Local Self-Government. 19:621-658
A GRIT methodology (Generation of Regional Input-Output Tables) to generate and analyze regional input-output tables is applied for a small, middle-income nation, where the single national input-output table is partitioned into numerous regional tabl
Publikováno v:
2021 IEEE 21st International Symposium on Computational Intelligence and Informatics (CINTI).
Publikováno v:
2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES).
Nowadays, professional, as well as, amateur athletes are monitoring their sport activities/training using modern sport trackers. These devices allow athletes to capture many indicators of sport training, e.g. location of training, duration of trainin
Publikováno v:
2019 6th International Conference on Soft Computing & Machine Intelligence (ISCMI).
This paper is focused on answering the question how the selection of a testbed on which the newly proposed algorithms are evaluated influence t he estimation of an algorithm's quality. New algorithms are usually tested on well-known benchmark functio
Publikováno v:
SSCI
Nowadays, most of databases for classification or regression consists of numerous features that describe the domain of interest. Therefore, they may have a huge influence on the results of classification/regression. A lot of research has shown that s
This book presents recent research on computational intelligence (CI) algorithms in the field of sport. In the modern age, information technologies have greatly reduced the need for human effort in the carrying out of many daily tasks. These technolo
Publikováno v:
2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI).
This paper presents the automatic generation of optimal eating plans for athletes. The automatic generation of the eating plans is introduced as an optimization problem, where particle swarm optimization is taken as the problem solver. Inputs for the
Publikováno v:
ISCBI
Modeling preference time in triathlons means predicting the intermediate times of particular sports disciplines by a given overall finish time in a specific triathlon course for the athlete with the known personal best result. This is a hard task for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e73c90def46a6553ae73e5df1c3fa6e7
Publikováno v:
Cuckoo Search & Firefly Algorithm; 2014, p347-360, 14p