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Earth and Planetary Sciences

Earth and Planetary Sciences 论文解读

Earth and Planetary Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。

全部 Computer Science Mathematics Physics and Astronomy Engineering Materials Science Chemistry Chemical Engineering Earth and Planetary Sciences Environmental Science Energy Biochemistry, Genetics and Molecular Biology Neuroscience Immunology and Microbiology Agricultural and Biological Sciences Medicine Pharmacology, Toxicology and Pharmaceutics Health Professions Economics, Econometrics and Finance Business, Management and Accounting Decision Sciences Social Sciences Psychology Arts and Humanities

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1,966 results

Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation

Rosângela Cintra, Haroldo Fraga de Campos Velho

arXiv (Cornell University)|2014|7 citations

Data Management for Building Information Modelling in a Real-Time Adaptive City Platform

Justas Brazauskas, Rohit Verma, +6

arXiv (Cornell University)|2021|7 citations

Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery

Yuchen Wang, Mingze Xu, +4

arXiv (Cornell University)|2020|7 citations

DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling

Wenyuan Li, Zili Liu, +5

arXiv (Cornell University)|2024|7 citations

DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds

Yanfei Su, Weiquan Liu, +5

arXiv (Cornell University)|2021|7 citations

Do probabilistic medium-range temperature forecasts need to allow for non-normality?

ArXiv.org|2003|7 citations

Dynamic Triad Interactions and Evolving Turbulence -- Part 1: 4D Modal Interactions

Preben Buchhave, Clara M. Velte

arXiv (Cornell University)|2019|7 citations

Ensemble filter techniques for intermittent data assimilation - a survey

Colin J. Cotter, Sebastian Reich

arXiv (Cornell University)|2012|7 citations

Extracting Common Time Trends from Concurrent Time Series: Maximum Autocorrelation Factors with Application to Tree Ring Time Series Data

Matz A. Haugen, Bala Rajaratnam, +1

arXiv (Cornell University)|2015|7 citations

Fast acoustic scattering using convolutional neural networks

Ziqi Fan, Vibhav Vineet, +2

arXiv (Cornell University)|2019|7 citations