Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jacob Schar"'
Autor:
Feng Zhu, Meng-Yao Cao, Qi-Ping Zhang, Rajinikanth Mohan, Jacob Schar, Michaela Mitchell, Huan Chen, Fengquan Liu, Daowen Wang, Zheng Qing Fu
Publikováno v:
Journal of Advanced Research, Vol 57, Iss , Pp 15-42 (2024)
Background: Crops are constantly attacked by various pathogens. These pathogenic microorganisms, such as fungi, oomycetes, bacteria, viruses, and nematodes, threaten global food security by causing detrimental crop diseases that generate tremendous q
Externí odkaz:
https://doaj.org/article/3d709628b60f482eb765a19f04929680
Publikováno v:
Entropy, Vol 23, Iss 7, p 878 (2021)
Secure user access to devices and datasets is widely enabled by fingerprint or face recognition. Organization of the necessarily large secure digital object datasets, with objects having content that may consist of images, text, video or audio, invol
Externí odkaz:
https://doaj.org/article/b8ec4a6aa3b4474a8c9739ca15a77392
Autor:
Anna Marszal-Pomianowska, Rasmus Lund Jensen, Michal Pomianowski, Olena Kalyanova Larsen, Jacob Scharling Jørgensen, Sofie Sand Knudsen
Publikováno v:
Energies, Vol 14, Iss 11, p 3314 (2021)
There is very little knowledge on the occupant actual hot water comfort (temperature and flow), usage practice, and routines (temporal and spatial distribution of hot water usage in a household). This paper describes the results from the total and ho
Externí odkaz:
https://doaj.org/article/98eb166da4804c21b38d6b9d17489418
Autor:
Aasim Khurshid, Jacob Scharcanski
Publikováno v:
Sensors, Vol 20, Iss 5, p 1494 (2020)
In this work, we propose an adaptive face tracking scheme that compensates for possible face tracking errors during its operation. The proposed scheme is equipped with a tracking divergence estimate, which allows to detect early and minimize the face
Externí odkaz:
https://doaj.org/article/42467f1abbda41208cfe8533cfcbcddc
Publikováno v:
PLoS ONE, Vol 10, Iss 1, p e0115218 (2015)
This paper presents a new automatic framework for extracting and characterizing the dynamic shape of the 3D wetting front and its propagation, based in a sequence of tomographic images acquired as water (moisture) infiltrates in unsaturated soils. To
Externí odkaz:
https://doaj.org/article/e94f21a91aeb4504b560200ccadbaa57
Autor:
Luciana Nedel, Anderson Maciel, Carla Dal Sasso Freitas, Claudio Jung, Manuel Oliveira, Jacob Scharcanski, Joao Comba, Marcelo Walter
Publikováno v:
Journal on Interactive Systems, Vol 2, Iss 2 (2011)
Nenhum resumo disponível
Externí odkaz:
https://doaj.org/article/03d5c60463ac4e1b8f95a2a3a790704d