Zobrazeno 1 - 10
of 10 830
pro vyhledávání: '"machine Learning (ML)"'
Publikováno v:
International Journal of Intelligent Unmanned Systems, 2024, Vol. 12, Issue 4, pp. 399-417.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJIUS-03-2024-0065
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 8/9, pp. 2251-2288.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-06-2024-0507
Publikováno v:
Clinical Ophthalmology, Vol Volume 18, Pp 3753-3766 (2024)
Siva Raman Bala Murugan,1 Srinivasan Sanjay,2 Anjana Somanath,3 Padmamalini Mahendradas,4 Aditya Patil,4 Kirandeep Kaur,5 Bharat Gurnani6 1Department of Uveitis and Ocular Inflammation Uveitis Clinic, Aravind Eye Hospital, Pondicherry, 605007, India;
Externí odkaz:
https://doaj.org/article/94a647145dda4405b2a0562939d3c92a
Probabilistic regression for autonomous terrain relative navigation via multi-modal feature learning
Autor:
Ickbum Kim, Sandeep Singh
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The extension of human spaceflight across an ever-expanding domain, in conjunction with intricate mission architectures demands a paradigm shift in autonomous navigation algorithms, especially for the powered descent phase of planetary landi
Externí odkaz:
https://doaj.org/article/f37ff81a27854f69b46eef6dc84d8e31
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-16 (2024)
Abstract Artificial intelligence (AI)-based drug discovery has not yet completely addressed the numerous and varied challenges posed by the inherent complexities and demands of achieving breakthroughs in drug discovery (DD). This review explores the
Externí odkaz:
https://doaj.org/article/cf196de680734247840e443088f6c01b
Autor:
Johannes Stolp, Christoph Weber, Danny Ammon, André Scherag, Claudia Fischer, Christof Kloos, Gunter Wolf, P. Christian Schulze, Utz Settmacher, Michael Bauer, Andreas Stallmach, Michael Kiehntopf, Boris Betz
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 724-733 (2024)
Healthcare integrated biobanking describes the annotation and collection of residual samples from hospitalized patients for research purposes. The central idea of the current work is to establish an automated workflow for sample annotation, selection
Externí odkaz:
https://doaj.org/article/273053e9148a4bb7a6fe6c26d12ec384
Publikováno v:
Big Earth Data, Pp 1-28 (2024)
Evapotranspiration (ET) plays a crucial role in the global water and energy cycle. Upscaling instantaneous ET ([Formula: see text]) to daily ET ([Formula: see text]) is vital for thermal-based ET estimation. Conventional methods – such as the const
Externí odkaz:
https://doaj.org/article/d1ed48bee52f451ca63ceb641215c831
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 656-668 (2024)
Accurate geoid modeling is significant in geodetic, geological, and environmental sciences. Owing to challenges in establishing reference stations, particularly in rugged terrains, such as in Northern Vietnam, leveraging global geopotential models (G
Externí odkaz:
https://doaj.org/article/d51ec6cf1b52462186910096d182ed8e
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Backgrounds To develop a machine learning (ML) model for predicting the prognosis of breast cancer (BC) patients with low human epidermal growth factor receptor 2 (HER2) expression, and to investigate the association between clinicopathologi
Externí odkaz:
https://doaj.org/article/738e5608a81a438a9eec5ec92ad8352d
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-22 (2024)
Abstract The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is a major challenge. Seismic attribute analysis can enhance the tracking of subtle stratigraphic features. It is challenging to investigate these subtle
Externí odkaz:
https://doaj.org/article/adaad9700ce84f1aa17b9560a327e886