Zobrazeno 1 - 10
of 1 068
pro vyhledávání: '"Ensemble modeling"'
Autor:
Rahim Khan, Sher Taj, Xuefei Ma, Alam Noor, Haifeng Zhu, Javed Khan, Zahid Ullah Khan, Sajid Ullah Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract Medical image machines serve as a valuable tool to monitor and diagnose a variety of diseases. However, manual and centralized interpretation are both error-prone and time-consuming due to malicious attacks. Numerous diagnostic algorithms ha
Externí odkaz:
https://doaj.org/article/03aa054492ed47cba3384f58be4cebe4
Publikováno v:
AIMS Mathematics, Vol 9, Iss 8, Pp 21952-21971 (2024)
In today's electricity markets, accurate electricity price forecasting provides valuable insights for decision-making among participants, ensuring reliable operation of the power system. However, the complex characteristics of electricity price time
Externí odkaz:
https://doaj.org/article/b2de8b16b7024b01892bd14e7329d398
Autor:
Yunan Lin, Yanqing Chen, Hao Wang, Jingpeng Hong, Ruonan Yang, Yongsheng Cao, Shen Yan, Wei Fang
Publikováno v:
Plants, People, Planet, Vol 6, Iss 4, Pp 979-991 (2024)
Societal Impact Statement Rice wild relatives (RWR) provide valuable genetic resources for modern rice breeding, yet knowledge gaps constrain their conservation and further utilization. To address these gaps, the potential distributions of 22 RWR tax
Externí odkaz:
https://doaj.org/article/a5983d9adf9e446ab14ee52495f41959
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 35, Iss 1, Pp 1-19 (2024)
Abstract Globally, but especially in the Chinese Loess Plateau, landslides are considered to be one of the most severe and significant geological hazards. The purpose of this study is to design two ensemble machine learning methods, which are denoted
Externí odkaz:
https://doaj.org/article/75f60930ee2f48d9a5186d41580f6b60
Autor:
Camilla Novaglio, Andrea Bryndum‐Buchholz, Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Cheryl S. Harrison, Ryan F. Heneghan, Olivier Maury, Kelly Ortega‐Cisneros, Colleen M. Petrik, Kelsey E. Roberts, Julia L. Blanchard
Publikováno v:
Earth's Future, Vol 12, Iss 9, Pp n/a-n/a (2024)
Abstract Climate change is increasingly affecting the world's ocean ecosystems, necessitating urgent guidance on adaptation strategies to limit or prevent catastrophic impacts. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP
Externí odkaz:
https://doaj.org/article/10c589f0b1604ecba262bcf8cabe5dca
Autor:
Ahmad Azadivash, Hosseinali Soleymani, Atrina Seifirad, Amirali Sandani, Farshid Yahyaee, Ali Kadkhodaie
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 7, Pp 1859-1878 (2024)
Abstract This study presents a pioneering machine learning approach to continuously model fracture intensity in hydrocarbon reservoirs using solely conventional well logs and mud loss data. While machine learning has previously been applied to predic
Externí odkaz:
https://doaj.org/article/53ac56155ce546609f246e3b383f9a16
Autor:
Catherine S. Jarnevich, Sarah K. Carter, Zoe M. Davidson, Nicole (Nik) D. MacPhee, Patrick J. Alexander, Brandon Hays, Pairsa N. Belamaric, Benjamin R. Harms
Publikováno v:
Conservation Science and Practice, Vol 6, Iss 8, Pp n/a-n/a (2024)
Abstract Public lands across the United States are managed for multiple uses, resources, and values ranging from energy development to rare plant conservation. Intensified energy development and other land use changes across the Southwestern United S
Externí odkaz:
https://doaj.org/article/3174c0967a824e179134eb0451f96f2e
Publikováno v:
Earth and Space Science, Vol 11, Iss 6, Pp n/a-n/a (2024)
Abstract Seismic inversion holds significant importance across various domains of geoscience and engineering, including the characterization of energy resource reservoirs, the assessment of polluted sites, and CO2 storage. It is a process of estimati
Externí odkaz:
https://doaj.org/article/e9b5c941275d4b53afbc8e0fc34a4039
Publikováno v:
Earth and Space Science, Vol 11, Iss 6, Pp n/a-n/a (2024)
Abstract Groundwater potential maps are crucial tools for effectively managing water resources, particularly in agriculturally focused countries such as Vietnam. However, creating these maps is a challenging task that requires reliable data and metho
Externí odkaz:
https://doaj.org/article/e97e8148db2e4b478c24813bd4a7b077
Publikováno v:
Engineering Reports, Vol 6, Iss 6, Pp n/a-n/a (2024)
Abstract Development of an effective tool wear monitor requires maximum utilization of information from associated data, especially in machine learning based modeling. However, vastly varied annotated training data is required, which is not only expe
Externí odkaz:
https://doaj.org/article/614a365f6fb1457e8f618bc9bd552445