Prohlížení Publikační činnost Katedry aplikované matematiky / Publications of Department of Computer Science (155) dle názvu
Zobrazují se záznamy 1-16 z 16
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3D desktop virtual reality as a facilitator of the learning quality and of strengthening students’ results
(Interactive Learning Environments. 2024.) -
Academic-industrial cooperation in ICT in a transition economy - two cases from the Czech Republic
(Information Technology for Development. 2015, vol. 21, issue 3, p. 480-491.) -
Analysis of processes information flows and items as additional design factor in COBIT framework
(Central European Business Review. 2021, vol. 10, issue 4, p. 63-82.) -
Aspects of distance education in combination with home offices
(Information. 2021, vol. 12, issue 2, art. no. 75.) -
Forecasting currency pairs with RBF neural network using activation function based on generalized normal distribution experimental results
(Journal of Multiple-Valued Logic and Soft Computing. 2019, vol. 33, issue 6, p. 539-563.) -
Forecasting of financial data: a novel fuzzy logic neural network based on error-correction concept and statistics
(Complex & Intelligent Systems. 2018, vol. 4, issue 2, p. 95-104.) -
Hybrid demand forecasting models: pre-pandemic and pandemic use studies
(Equilibrium. Quarterly Journal of Economics and Economic Policy. 2022, vol. 17, issue 3, p. 699-725.) -
Increasing the business potential of companies by ensuring continuity of the development of their information systems by current information technologies
(Journal of Business Economics and Management. 2016, vol. 17, issue 3, p. 475-489.) -
Intelligence in finance and economics for predicting high-frequency data
(Mathematics. 2023, vol. 11, issue 2, art. no. 454.) -
Modelovanie volatility a predikčné modely vysokofrekvenčných finančných dát: štatistický a neurónový prístup
(Ekonomický časopis. 2014, roč. 62, č. 2, s. 133-149.) -
On evolving environment of 2D P colonies: ant colony simulation
(Journal of Membrane Computing. 2023, vol. 5, issue 3, p. 117-128.) -
Some statistical and CI models to predict chaotic high-frequency financial data
(Journal of Intelligent & Fuzzy Systems. 2020, vol. 39, issue 5, p. 6419-6430.) -
Statistical and soft computing methods applied to high frequency data
(Journal of Multiple-Valued Logic and Soft Computing. 2016, vol. 26, issue 6, p. 593-608.) -
The category proliferation problem in ART neural networks
(Acta Polytechnica Hungarica. 2017, vol. 14, no. 5, p. 49-63.) -
The determinants of IT adoption in SMEs in the Czech-Polish border areas
(Information Technology for Development. 2015, vol. 21, issue 3, p. 426-444.) -
Virtual reality retooling humanities courses: Finance and marketing experience at a Czech university
(Applied Sciences. 2022, vol. 12, issue 19, art. no. 10170.)