Zobrazeno 1 - 10
of 1 280
pro vyhledávání: '"ConvLSTM"'
Publikováno v:
Journal of Land Use Science, Vol 19, Iss 1, Pp 258-277 (2024)
Cities are facing many challenges related to urban growth. This phenomenon has prompted decision-makers to adopt innovative approaches for planning based on accurate forecasting of urban growth. Among the most widely used forecasting methods, there a
Externí odkaz:
https://doaj.org/article/3a5d292a0b5d4be08b226315cd7a0e21
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Nearshore water-level prediction has a substantial impact on the daily lives of coastal residents, fishing operations, and disaster prevention and mitigation. Compared to the limitations and high costs of traditional empirical forecasts and numerical
Externí odkaz:
https://doaj.org/article/88e1d6b5aabd4c7d9174eaac15823b7d
Autor:
Hui Zhang, Weihua Zhang
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37229- (2024)
Customer Relationship Management (CRM) is vital in modern business, aiding in the management and analysis of customer interactions. However, existing methods struggle to capture the dynamic and complex nature of customer relationships, as traditional
Externí odkaz:
https://doaj.org/article/409ecbbb6da14e7baa739965e7b589f3
Autor:
Imane Hammou Ou Ali, Ali Agga, Mohammed Ouassaid, Mohamed Maaroufi, Ali Elrashidi, Hossam Kotb
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
The forecasting of home energy consumption is a crucial and challenging topic within the realm of artificial intelligence (AI)-enhanced energy management in smart grids (SGs). The primary goal of this study is to provide accurate energy consumption f
Externí odkaz:
https://doaj.org/article/b56825a710f14ef28762572b4c3f9dbc
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102760- (2024)
Predicting the trajectory of geographical events, such as wildfire spread, presents a formidable task due to the dynamic associations among influential biophysical factors. Geo-events like wildfires frequently display short and long-range spatial and
Externí odkaz:
https://doaj.org/article/579f42dd3d3940d3b3bb0d4832198f8c
Publikováno v:
Journal of Petroleum Exploration and Production Technology, Vol 14, Iss 7, Pp 1933-1951 (2024)
Abstract Relative permeability (RP) curves which provide fundamental insights into porous media flow behavior serve as critical parameters in reservoir engineering and numerical simulation studies. However, obtaining accurate RP curves remains a chal
Externí odkaz:
https://doaj.org/article/e7d2dc383d16478dbba583ef78b13203
Autor:
Bin Chen, Ruming Chen, Lin Zhao, Yuxiang Ren, Li Zhang, Yingjie Zhao, Xinbo Lian, Wei Yan, Shuoyuan Gao
Publikováno v:
Fundamental Research, Vol 4, Iss 3, Pp 527-539 (2024)
In the global challenge of Coronavirus disease 2019 (COVID-19) pandemic, accurate prediction of daily new cases is crucial for epidemic prevention and socioeconomic planning. In contrast to traditional local, one-dimensional time-series data-based in
Externí odkaz:
https://doaj.org/article/97f410f45a3b41ada12abaecdbb553b1
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeTo enhance the accuracy of real-time four-dimensional cone beam CT (4D-CBCT) imaging by incorporating spatiotemporal correlation from the sequential projection image into the single projection-based 4D-CBCT estimation process.MethodsWe first d
Externí odkaz:
https://doaj.org/article/33e0bdb0bc5f4046b08dda7a3bbac57e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 103962- (2024)
Due to the rapidly changing climate conditions, precipitation nowcasting poses a daunting challenge because it is impossible to make accurate short-term forecasts due to the rapid fluctuations in weather conditions. There are limitations to tradition
Externí odkaz:
https://doaj.org/article/99bfecc2876b449baefe0781e2fc1c55
Publikováno v:
IEEE Access, Vol 12, Pp 157346-157358 (2024)
Using 2D scans or simple 3D convolutions are two limitations of previous works on segmentation of brain tumors by deep learning, which lead to ignoring the temporal distribution of the scans. This study proposes a novel extension to the well-known U-
Externí odkaz:
https://doaj.org/article/4b084cc06f08450a8b24ee7f3748ea2f