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Simulation modeling of aerial work completed by helicopters in the construction industry focused on weather conditions
Title statement Simulation modeling of aerial work completed by helicopters in the construction industry focused on weather conditions Main entry-name (Author) Bisták, Andrej, 1990- - SvF Katedra technológie stavieb Another responsib. (Author) Hulínová, Zdenka, 1957- Z1 - SvF Katedra technológie stavieb (Author) Neštiak, Michal (Author) Chamulová, Barbara, 1970- Z8 - SvF Katedra technológie stavieb Translated title Simulačné modelovanie leteckých prác v stavebníctve so zohľadnením poveternostných podmienok In Sustainability [elektronický zdroj]. -- ISSN 2071-1050. -- Vol. 13, iss. 24 (2021), online, [22] s., art. no. 13671 Subj. Headings udržateľná výstavba digitálne technológie vrtuľníky simulačný model numerická predpoveď počasia riadenie projektov Language English Document kind RBX - článok z periodika Category ADC - Scientific titles in foreign carented magazines and noticed year-books Category (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Year 2021 Citations [1] 2022: MATEJEVIĆ-NIKOLIĆ, Biljana - ŽIVKOVIĆ, Lazar. Comparative Representation of Two Models for Predicting the Productivity of Column and Wall Concreting Process. In: Buildings, 2022, Vol. 12, no. 11, pp. [1] 2022: FRNDA, Jaroslav - DURICA, Marek - ROZHON, Jan - VOJTEKOVA, Maria - NEDOMA, Jan - MARTINEK, Radek. ECMWF short-term prediction accuracy improvement by deep learning. In: Scientific Reports, 2022, Vol. 12, no. 1, pp. [1] 2022: FRANCO, Jacqueline de Almeida Barbosa - DOMINGUES, Ana Mariele - AFRICANO, Nelson de Almeida - DEUS, Rafael Mattos - BATTISTELLE, Rosane Aparecida Gomes. Sustainability in the Civil Construction Sector Supported by Industry 4.0 Technologies: Challenges and Opportunities. In: Infrastructures, 2022, Vol. 7, no. 3, pp. [1] 2025: LI, Weiguo - WANG, Yang - DUAN, Chaohua - PAN, Jin - WANG, Shouchang - TAO, Zhaoyu. Research on a low-carbon aerial ropeway construction safety monitoring system for transmission line engineering freight based on deep learning. In: INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2025, Vol. 20, pp. 771-780. ISSN 1748-1317. 
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Number of the records: 1