Zobrazeno 1 - 10
of 3 872
pro vyhledávání: '"Semi automatic"'
Publikováno v:
Journal of Ecological Engineering, Vol 25, Iss 10, Pp 189-208 (2024)
Downstream pebble variability in river systems is assessed through various methods, with recent emphasis on efficient, time-saving semi-automatic processes involving photography and digital analysis. The Inaouène Valley, however, lacked a comprehens
Externí odkaz:
https://doaj.org/article/d7641e581bc64b65bb3faa1f5be75f83
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
IntroductionShooting simulations provide an excellent opportunity to train use-of-force decisions in controlled environments. Recently, military and law enforcement organizations have expressed a growing desire to integrate physiological measurement
Externí odkaz:
https://doaj.org/article/31c9829fae7647519ba53afa7bc90b86
Autor:
Nosrat Goodarzi, Yaghoub Norouzi, Hosseini Beheshti Molouk Sadat, Mehdi Alipour-Hafezi, Behrooz Bayat
Publikováno v:
علوم و فنون مدیریت اطلاعات, Vol 10, Iss 1, Pp 175-208 (2024)
Purpose: The aim of the present study is to reconcile the dual embodiment of ontology and folksonomy and establish a symbiotic relationship between the two technologies for the development of folksonomized ontology as a tool for organizing informatio
Externí odkaz:
https://doaj.org/article/b20dd17d96a148bf93560552211d4ae5
Publikováno v:
Journal of Maps, Vol 20, Iss 1 (2024)
ABSTRACTThis study focuses on the characterization of the geomorphological setting in the hinterland of the archaeological sites of Chimtou and Bordj Hellal located in the central Medjerda Valley, North Tunisia. Our approach integrates the algorithm
Externí odkaz:
https://doaj.org/article/b59e1eee9580434f980ab673df3c14a8
Autor:
Maryam Zarei, Elin Wallsten, Josefine Grefve, Karin Söderkvist, Adalsteinn Gunnlaugsson, Kristina Sandgren, Joakim Jonsson, Angsana Keeratijarut Lindberg, Erik Nilsson, Anders Bergh, Björn Zackrisson, Mathieu Moreau, Camilla Thellenberg Karlsson, Lars E. Olsson, Anders Widmark, Katrine Riklund, Lennart Blomqvist, Vibeke Berg Loegager, Jan Axelsson, Sara N. Strandberg, Tufve Nyholm
Publikováno v:
Acta Oncologica, Vol 63, Iss 1 (2024)
Background: The delineation of intraprostatic lesions is vital for correct delivery of focal radiotherapy boost in patients with prostate cancer (PC). Errors in the delineation could translate into reduced tumour control and potentially increase the
Externí odkaz:
https://doaj.org/article/af596338fcfa417988e8835bcd58f1ae
Publikováno v:
Image Analysis and Stereology, Vol 43, Iss 2 (2024)
Accurate estimation of postmortem interval (PMI) is crucial in forensic medicine. The hyaline cartilage, being predominantly composed of a dense extracellular matrix and partly resistant to factors influencing protein degradation, can be utilized for
Externí odkaz:
https://doaj.org/article/acb2e21b480947a895f0b4bc2fc95df6
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103806- (2024)
Shallow landslides, frequently triggered by extreme events such as heavy rainfall, snowmelt, or earthquakes, affect vast areas with remarkable density. In the immediate aftermath of such events, it becomes crucial to rapidly assess landslides distrib
Externí odkaz:
https://doaj.org/article/2526688475e949279e2c33075dddf6bf
Autor:
Diana Gonciar, Alexandru-George Berciu, Alex Ede Danku, Noemi Lorenzovici, Eva-Henrietta Dulf, Teodora Mocan, Sorina-Melinda Nicula, Lucia Agoston-Coldea
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7696 (2024)
(1) Background: Considering the increasing workload of pathologists, computer-assisted methods have the potential to come to their aid. Considering the prognostic role of myocardial fibrosis, its precise quantification is essential. Currently, the ev
Externí odkaz:
https://doaj.org/article/974bf57c4af746e6af946e194760a304
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2763 (2024)
Synthetic aperture radar (SAR) technology has become an important means of flood monitoring because of its large coverage, repeated observation, and all-weather and all-time working capabilities. The commonly used thresholding and change detection me
Externí odkaz:
https://doaj.org/article/4b6b77795d334c6cbcf13fd8fc53830b
Autor:
Shaolong Chen, Zhiyong Zhang
Publikováno v:
Sensors, Vol 24, Iss 12, p 3893 (2024)
The annotation of magnetic resonance imaging (MRI) images plays an important role in deep learning-based MRI segmentation tasks. Semi-automatic annotation algorithms are helpful for improving the efficiency and reducing the difficulty of MRI image an
Externí odkaz:
https://doaj.org/article/2aedb86c53a6477c8871d73d72af24da