Zobrazeno 1 - 10
of 1 849
pro vyhledávání: '"k-fold"'
Publikováno v:
International Journal of Housing Markets and Analysis, 2024, Vol. 17, Issue 6, pp. 1443-1460.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJHMA-12-2023-0169
Autor:
Atefeh Rostami, Faezeh Mousavi, Seyed Alireza Javadinia, Mostafa Robatjazi, Mohammad Mehrpouyan
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)
Abstract The coronavirus disease 2019 (COVID-19) became the most spread and lethal disease in the last 3 years. Early predictions could optimize the decision-making process, healthcare outcomes, and effective usage of healthcare resources during peak
Externí odkaz:
https://doaj.org/article/3b58af3ff8df4f9ea1f7aa6df977357e
Publikováno v:
Sustainable Environment Research, Vol 34, Iss 1, Pp 1-10 (2024)
Abstract The volatilization of volatile organic compounds following a leakage event is a crucial mechanism that influences their migration and transformation in the soil. It is noteworthy that this process is intricately shaped by soil properties and
Externí odkaz:
https://doaj.org/article/1ed5f2480cb24971bbb32e89edaa6949
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Concrete compressive strength (CS) is a crucial performance parameter in concrete structure design. Reliable strength prediction reduces costs and time in design and prevents material waste from extensive mixture trials. Machine learning tec
Externí odkaz:
https://doaj.org/article/867cd2da4e6f4f9ebc1578d511e7c220
Publikováno v:
Sustainable Energy Research, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract This study evaluated the performance of multiple models that used machine learning to anticipate wind speed in the city of Dhaka. The NASA Power website provided the data set for this investigation. The models used for prediction included th
Externí odkaz:
https://doaj.org/article/920ff9bf179d4265a1e03a080a23e1a4
Publikováno v:
Dianxin kexue, Vol 40, Pp 131-140 (2024)
With the development of the Chinese economy and the increasing pressure of living in first-tier cities, more and more young people choose to return to their hometowns for development. To efficiently serve users and improve their product usage experie
Externí odkaz:
https://doaj.org/article/536e8b41ca364cac806e196e3f2a64ce
Publikováno v:
Applied Water Science, Vol 14, Iss 6, Pp 1-15 (2024)
Abstract Forecasting and extending streamflow is a critical aspect of hydrology, especially where the time series are locally unavailable for a variety of reasons. The necessity of preprocessing, model fine-tuning, feature selection, or sampling to e
Externí odkaz:
https://doaj.org/article/09ae76e4ddbf4c5b94c008c6ed9f74af
Publikováno v:
Applied Computing and Geosciences, Vol 23, Iss , Pp 100192- (2024)
This study aims to tackle the obstacles linked with geological image segmentation by employing sophisticated deep learning techniques. Geological formations, characterized by diverse forms, sizes, textures, and colors, present a complex landscape for
Externí odkaz:
https://doaj.org/article/c6df43022044467d9f4300c3b1ccb2f3
Publikováno v:
Trees, Forests and People, Vol 17, Iss , Pp 100627- (2024)
A function that predicts the upper stem diameters of an individual tree is helpful in better quantifying the volume and devising sustainable management of commercially and ecologically important species. This study compares three forms of the taper e
Externí odkaz:
https://doaj.org/article/93985432b7364499a39f3cceba04bada
Publikováno v:
IEEE Access, Vol 12, Pp 162799-162813 (2024)
Agriculture is pivotal for the economy of a country as it is a major source of food, employment and raw materials. However, challenges such as diseases, soil degradation, and water scarcity persist. Technology adoption can address these issues, impro
Externí odkaz:
https://doaj.org/article/a6c81bfa96a4431bb68f0a22d26ad3fb