过去一年中添加的文章，按日期排序
Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database
P Moradi, B Seabrook, N Adair, R Garza - SPE/AAPG/SEG …, 2024 - onepetro.org
20 天前 - … In this study, our focus is on utilizing SoS measured by … resolving phase fractions
by applying it to multiple synthetic … and heat transfer modeling, to machine learning models …
by applying it to multiple synthetic … and heat transfer modeling, to machine learning models …
Multi-Scale and Multi-Level Feature Fusion Network for Quantitative Precipitation Estimation with Passive Microwave
Z Wang, X Li, K Lin, C Luo, Y Ye… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
66 天前 - … retrieval algorithms based on passive microwave. Section III introduces some
preliminary knowledge of the deep learning method used in … microwave brightness temperature in …
preliminary knowledge of the deep learning method used in … microwave brightness temperature in …
… dynamic monitoring of the flood season area of Poyang Lake over the past two decades Flood susceptibility assessment using machine learning approach in the …
S Zhang, Z Xu, Y Liu, M Yin, W Zhu… - Ore and Energy …, 2024 - ui.adsabs.harvard.edu
89 天前 - … the most effective method to enhance the heat recovery potential of these reservoirs.
To … were used, and a forest fire hotspot was prepared. A geospatial technique was used in …
To … were used, and a forest fire hotspot was prepared. A geospatial technique was used in …
Detection of High Convective Precipitation Events Using Advanced Machine Learning Methods
W Abed - 2024 - arts.units.it
108 天前 - … , specific humidity, and temperature at four pressure levels… layers for feature extraction
and classification. The model … tails of the precipitation distribution over the whole domain…
and classification. The model … tails of the precipitation distribution over the whole domain…
Integrated Characterization of Expanding-Solvent Steam-Assisted Gravity Drainage (ES-SAGD) Processes by Using a Heat-Penetration Criterion within a Unified …
S Yang, D Yang - SPE Canadian Energy Technology Conference, 2024 - onepetro.org
117 天前 - … promising method to enhance heavy oil recovery (EOR); however… Recently, machine
learning approaches (eg, light and … The temperature distribution ahead of the SCI in the ES-…
learning approaches (eg, light and … The temperature distribution ahead of the SCI in the ES-…
Phase equilibrium analysis in recovery and transportation of natural hydrogen 天然氢开采和集输中的相平衡分析
128 天前 - … Environmental temperature is extracted as the … the deep learning algorithm, this
accurate and fast phase equilibrium prediction method can be used to analyze the distribution …
accurate and fast phase equilibrium prediction method can be used to analyze the distribution …
Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection
144 天前 - … associated with multimodal distributions and categorical … applications that generally
applied deep learning (DL) and … thermal comfort using skin temperatures and occupants’ …
applied deep learning (DL) and … thermal comfort using skin temperatures and occupants’ …
Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models
P Huang, M Hou, T Sun, H Xu, C Ma, A Zhou - Journal of Cleaner …, 2024 - Elsevier
151 天前 - … employed a variety of machine learning and knowledge-… , and land surface
temperature were found to have the … , including groundwater extraction planning and pollution …
temperature were found to have the … , including groundwater extraction planning and pollution …
[HTML][HTML] Antarctic sea ice kinematics: satellite observation, model representation and its links with ice thickness
T Tian - 2024 - figshare.utas.edu.au
207 天前 - … : 1) regulating moisture and heat flux by forming an … investigation of the ice thickness
retrieval from sea ice kinematics … using the supervised machine learning-based regression …
retrieval from sea ice kinematics … using the supervised machine learning-based regression …
Early prediction of honeybee hive winter survivability using multi-modal sensor data
Y Zhu, M Abdollahi, S Maucourt… - … on Metrology for …, 2023 - ieeexplore.ieee.org
244 天前 - … We further developed a machine learning (ML) model to … The same feature extraction
process was repeated for all … feature distribution, especially for humidity and temperature …
process was repeated for all … feature distribution, especially for humidity and temperature …