Zobrazeno 1 - 10
of 2 834
pro vyhledávání: '"lightgbm"'
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 12, Pp 5414-5421 (2024)
This paper explores the implementation of machine learning-based algorithms for TL dose assessment. It focuses on the radiation field classification, performance quotient evaluation, and shallow and deep dose equivalent assessment of ANN and LGBM, in
Externí odkaz:
https://doaj.org/article/08ccc6a66d3742b5b808c5f32beeca64
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1, Pp 1-20 (2024)
The distribution of surface particulate matter (PM2.5) exhibits significant spatiotemporal patterns, especially with a spatial clustering effect. Therefore, resolving spatial characteristics is essential in the modeling process. This study proposes a
Externí odkaz:
https://doaj.org/article/af4f152d012b4e978968194fd082d08b
Publikováno v:
Satellite Navigation, Vol 5, Iss 1, Pp 1-20 (2024)
Abstract In complicated urban environments, Global Navigation Satellite System (GNSS) signals are frequently affected by building reflection or refraction, resulting in Non-Line-of-Sight (NLOS) errors. In severe cases, NLOS errors can cause a ranging
Externí odkaz:
https://doaj.org/article/acd6ce6a8e16465f8b0fd03a7e502c83
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Highly accurate nighttime cloud detection in satellite imagery is challenging due to the absence of visible to near-infrared (0.38–3 μm, VNI) data, which is critical for distinguishing clouds from other ground features. Fortunately, Machi
Externí odkaz:
https://doaj.org/article/ef329be1f4ba420aa181854cd900d514
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a considerably higher risk of mortality than the g
Externí odkaz:
https://doaj.org/article/b5cac5370e794f32b6007adefa2a490d
Autor:
Yedilkhan Amirgaliyev, Ravil Mukhamediev, Timur Merembayev, Yan Kuchin, Aisulyu Ataniyazova, Perizat Omarova
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-14 (2024)
Abstract Salinization and land degradation are significant challenges in the southern regions of Kazakhstan. These issues arise due to climate change, unequal water resource distribution, and human impact. The primary concern revolves around water re
Externí odkaz:
https://doaj.org/article/cdc1f8f5ebfe4b3d931a2e1cc13e4194
Publikováno v:
International Journal of Information Science and Management, Vol 22, Iss 4, Pp 155-183 (2024)
The aerospace industry and technology are always considered one of the country’s most important and valuable industries. The research area of "Aerospace" is among the priorities of the grand science and technology development strategies, and addres
Externí odkaz:
https://doaj.org/article/5e1dc553b29d4374b99bc3c848cc391f
Autor:
Muhammad Ridho Efras, Iskandar Dzulkarnain, Syahrir Ridha, Loris Alif Syahputra, Muhammad Hammad Rasool, Mohammad Galang Merdeka, Agus Astra Pramana
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 11, Pp 3055-3077 (2024)
Abstract Low salinity water alternating immiscible gas CO2 (Immiscible CO2-LSWAG) injection is a popular technique for enhanced oil recovery (EOR) that combines the benefits of low salinity and immiscible CO2 flooding to increase and accelerate oil p
Externí odkaz:
https://doaj.org/article/90cca93f92184f3a85fef454a4fd639f
Autor:
Jajko-Siwek Alicja
Publikováno v:
Economics and Business Review, Vol 10, Iss 3, Pp 7-33 (2024)
The study investigates the financial well-being of older people in Poland, Spain and Denmark, with a particular focus on their ability to make ends meet. Using data from the SHARE survey to analyse retired individuals aged 65 to 79 years, it aims to
Externí odkaz:
https://doaj.org/article/64dc6c0bb1844d4fa40e9b23f585b6ca
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 2675-2690 (2024)
The hot deformation behavior of 30MnB5V steel was experimentally investigated and theoretically analyzed using phenomenological constitutive models and an ensemble learning algorithm. Hot compression experiments were conducted with an MMS-200 thermo-
Externí odkaz:
https://doaj.org/article/05d707cafe8b43c790f08eb08373287f