Zobrazeno 1 - 10
of 10 123
pro vyhledávání: '"A. .A. Komar"'
This paper describes a method to detect generic dynamic objects for automated driving. First, a LiDAR-based dynamic grid is generated online. Second, a deep learning-based detector is trained on the dynamic grid to infer the presence of dynamic objec
Externí odkaz:
http://arxiv.org/abs/2410.14799
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Two experiments served to examine how people arrive at stimulus-specific prospective judgments about the distracting effects of speech on cognitive performance. The direct-access account implies that people have direct metacognitive access t
Externí odkaz:
https://doaj.org/article/5f76d89895044245a29a2c636dfb2ab8
Autor:
Sarah E. Fumagalli, Sean Smith, Tigran Ghazanchyan, Douglas Meyer, Rahul Paul, Collin Campbell, Luis Santana-Quintero, Anton Golikov, Juan Ibla, Haim Bar, Anton A. Komar, Ryan C. Hunt, Brian Lin, Michael DiCuccio, Chava Kimchi-Sarfaty
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Mouse (Mus musculus) models have been heavily utilized in developmental biology research to understand mammalian embryonic development, as mice share many genetic, physiological, and developmental characteristics with humans. New exploration
Externí odkaz:
https://doaj.org/article/4ba89a888fe44f0d801eb3f593533bc8
Autor:
Paweł Prochownik, Klaudia Bielecka, Tadeusz Przewłocki, Zuzanna Sachajko, Urszula Gancarczyk, Piotr Wilkołek, Michał Tworek, Piotr Podolec, Larysa Bielecka, Monika Komar
Publikováno v:
Advances in Interventional Cardiology, Vol 20, Iss 3, Pp 338-344 (2024)
Externí odkaz:
https://doaj.org/article/a8421768003343489171aafe3d39f036
Publikováno v:
ECONOMICS, Vol 12, Iss 2, Pp 69-96 (2024)
This paper introduces an innovative framework for the management of virtual companies in smart urban environments, with an emphasis on socio-economic resilience facilitated by Sustainable Information Systems. The system aims to equip virtual enterpri
Externí odkaz:
https://doaj.org/article/0938873a6bed4a979e44605e9f5ec632
Publikováno v:
JACS Au, Vol 4, Iss 9, Pp 3501-3518 (2024)
Externí odkaz:
https://doaj.org/article/c088dc29a52c458c8e3a7df85aeb6fe1
Autor:
Ganna Weigang, Kateryna Komar
Publikováno v:
Transport Technologies, Vol 5, Iss 1, Pp 10-22 (2024)
The authors consider the features of multi-agent modeling for traffic optimization in the central areas of cities. While evaluating the unique challenges associated with the high concentration of vehicles, pedestrians and historical buildings, the po
Externí odkaz:
https://doaj.org/article/cf5d194957294b5ca339c487422402e9
Autor:
Artem Bezuglyi, Bohdan Stasiuk, Nataliia Mudrychenko, Serhii Illiash, Taras Pechonchyk, Viktor Komar
Publikováno v:
Дороги і мости, Vol 2024, Iss 29, Pp 13-24 (2024)
Introduction. The transport and operational condition of the road network in Ukraine is currently in an unsatisfactory state. In addition, as a result of hostilities, traffic flows have been significantly reoriented, the distribution of cargo and pas
Externí odkaz:
https://doaj.org/article/7579cf535a694e3cbfd32c78e0ab68cb
Publikováno v:
Рослинництво та ґрунтознавство, Vol 15, Iss 2, Pp 18-31 (2024)
There is a need to summarise information using phenological models to develop a sustainable saffron production technology with further regulation of flowering at a certain phenological stage and determination of the appropriate flowering period to im
Externí odkaz:
https://doaj.org/article/527f5277dce847a68f8815165990a39a
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-W10-2024, Pp 119-124 (2024)
This paper explores development and deployment of a smart city prediction system, demonstrating this capability on data generated by footfall counting sensors. Presented approach integrates classical machine learning (ML) techniques with process orch
Externí odkaz:
https://doaj.org/article/96effd4569254504ab581c712cf0aa45