Results 71 to 80 of about 327,572 (338)
Advanced Functional Materials, EarlyView.The seed pod valves of Australian Banksia attenuata plants are not simply bi‐layers which bend when dry. These experiments and models reveal complex mechanics, which allow seed release only after several steps of seed pod opening. Stiffness gradients prevent delamination of the valves during loading, and a shape‐memory function protects the seeds ...
Friedrich Reppe +7 more
wiley +1 more source
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data [PDF]
arXiv, 2023 Recently, multiple data-driven models based on machine learning for weather forecasting have emerged. These models are highly competitive in terms of accuracy compared to traditional numerical weather prediction (NWP) systems. In particular, the Pangu-Weather model, which is open source for non-commercial use, has been validated for its forecasting ...
arxiv
Eos, Transactions American Geophysical Union, 1960 This report, like its predecessor of four years ago, concentrates on the prediction of atmospheric flow patterns by objective methods that are based on the laws of physics. Purely statistical‐empirical methods are not treated.
openaire +3 more sources
Advanced Functional Materials, EarlyView.A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao +17 more
wiley +1 more source
COPDPoland is a country with a high burden of COPD and its risk factors. This population-wide and geospatial study on COPD in Poland, aimed to analyze changes in hospitalizations of patients with a diagnosis of COPD between 2006 and 2019 as well as to ...
Bogdan Bochenek +7 more
doaj +1 more source
A CNN-RNN Architecture for Multi-Label Weather Recognition [PDF]
arXiv, 2019 Weather Recognition plays an important role in our daily lives and many computer vision applications. However, recognizing the weather conditions from a single image remains challenging and has not been studied thoroughly. Generally, most previous works treat weather recognition as a single-label classification task, namely, determining whether an ...
arxiv
FengWu-4DVar: Coupling the Data-driven Weather Forecasting Model with 4D Variational Assimilation [PDF]
arXiv, 2023 Weather forecasting is a crucial yet highly challenging task. With the maturity of Artificial Intelligence (AI), the emergence of data-driven weather forecasting models has opened up a new paradigm for the development of weather forecasting systems.
arxiv
MXene 3D/4D Printing: Ink Formulation and Electrochemical Energy Storage Applications
Advanced Functional Materials, EarlyView.A comprehensive study of MXene printing technique is presented, focusing on MXene ink formulation, surface chemistry, rheological characteristics, physical storage, and ink stability. Different printing techniques, such as 3D/4D printing, screen printing, inkjet printing, and continuous liquid interface production printing along with their applications
Shaista Nouseen, Martin Pumera
wiley +1 more source
Advances in Meteorology, 2016 A WRF-CMAQ modeling system is used to assess the impact of emission control strategies and weather conditions on haze pollution in Zhongshan, Guangdong Province, China.
Jianhua Mai +6 more
doaj +1 more source
MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers [PDF]
Restoring images captured under adverse weather conditions is a fundamental task for many computer vision applications. However, most existing weather restoration approaches are only capable of handling a specific type of degradation, which is often insufficient in real-world scenarios, such as rainy-snowy or rainy-hazy weather.
arxiv +1 more source