Zobrazeno 1 - 10
of 851
pro vyhledávání: '"Rainfall prediction"'
Publikováno v:
Latin-American Journal of Computing, Vol 11, Iss 2, Pp 51-59 (2024)
The National Institute for Space Research (INPE) has been a partner in significant projects that conduct atmospheric investigations impacting various sectors, such as the Amazon Tall Tower Observatory (ATTO) project. Since 2009, the project has condu
Externí odkaz:
https://doaj.org/article/41678b3d41744d09b0bc0ab03d158cdb
Autor:
B SUDARSAN PATRO, PRASHANT P. BARTAKKE
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 4 (2024)
Externí odkaz:
https://doaj.org/article/486f7db751d048268d21b4949fd2c376
Publikováno v:
Edusaintek, Vol 12, Iss 1 (2024)
Unpredictable rainfall can cause various negative impacts, especially in regions highly dependent on agriculture and infrastructure, such as Sleman Regency, Semarang, and Surabaya. Accurate weather predictions are crucial for anticipating disaster ri
Externí odkaz:
https://doaj.org/article/f4696f213ba74ede957216a50565c471
Publikováno v:
Jurnal Sisfokom, Vol 13, Iss 2, Pp 293-297 (2024)
Rainfall is one of the meteorological and climatological parameters whose information must be disseminated to the public and related stakeholders. Rainfall information has an important role in the sectors of people's lives. In agriculture, the amount
Externí odkaz:
https://doaj.org/article/19deb3fa635a476a870421ed14ae87f2
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 4, Pp 904-914 (2024)
Due to global climate change, managing water resources is one of the most critical challenges for most countries in the world, especially in the Middle East. In the Kurdistan Region of Iraq (KRI), there is a good amount of precipitation, surface wate
Externí odkaz:
https://doaj.org/article/4de5485fe6f94649ab04468f1054617f
Publikováno v:
IEEE Access, Vol 12, Pp 132744-132753 (2024)
Monitoring rainfall is becoming increasingly important due to the impacts of climate change. In this context, opportunistic sensing based on satellite microwave links (SMLs) is gaining significant interest for its potential to provide real-time, low-
Externí odkaz:
https://doaj.org/article/e8b002eaaf994c28bdc96b5dd0799f20
Publikováno v:
IEEE Access, Vol 12, Pp 86034-86042 (2024)
Convolutional neural networks (CNNs) accelerators have been utilized widely for several digital applications to improve processing efficiency. However, the traditional CNN accelerator processor performance is insufficient to run the digital smart app
Externí odkaz:
https://doaj.org/article/97e8d2fd3f6e403baa312fc04f9a5d44
Autor:
Chawngthu Zoremsanga, Jamal Hussain
Publikováno v:
IEEE Access, Vol 12, Pp 57172-57184 (2024)
Rainfall is vital to all life on Earth, and rainfall prediction is essential for various sectors and aspects of human society. Hilly areas such as the state of Mizoram in India have suffered from landslides during the rainy season. This study compare
Externí odkaz:
https://doaj.org/article/d7ce2d4bfc784c2097a3bffa18dd8782
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4165 (2024)
In recent years, precipitable water vapor has emerged as a key atmospheric parameter in weather prediction research. However, relying on only one parameter does not always accurately predict rainfall, as other atmospheric parameters also contribute t
Externí odkaz:
https://doaj.org/article/9b971334d37b47fa85e6784e6b63b407
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102093- (2024)
This research paper delves into creating and comparing rainfall prediction models, employing diverse machine learning algorithms, including Logistic Regression, Decision Tree Classifier, Multi-Layer Perceptron classifier (neural network), and Random
Externí odkaz:
https://doaj.org/article/1845ca49dcfb4cd8bbcb9ed241b1c8c6