Results 101 to 110 of about 14,098 (299)

3D‐Printed Corneal Substitutes: Materials, Fabrication, and Preclinical Progress

Advanced Materials Technologies, EarlyView.
Successful clinical translation of 3D‐printed corneal substitutes relies on the interplay between the bioink properties, cellular component, and the fabrication process. These factors influence the critical properties of the construct, including optical transparency, mechanical stability, suture retention, that ultimately govern long‐term stromal ...
Shadi Moshayedi, Ashley Vazquez, Alexander J. Choi, Dimitrios Karamichos, Jayoung Kim   +4 more
wiley   +1 more source

VIM-Based Dynamic Sparse Grid Approach to Partial Differential Equations

The Scientific World Journal, 2014
Combining the variational iteration method (VIM) with the sparse grid theory, a dynamic sparse grid approach for nonlinear PDEs is proposed in this paper. In this method, a multilevel interpolation operator is constructed based on the sparse grids theory
Shu-Li Mei
doaj   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Fusion-Based Regional ZTD Modeling Using ERA5 and GNSS via Residual Correction Kriging

Remote Sensing
Zenith Tropospheric Delay (ZTD) and its associated atmospheric water vapor information constitute essential environmental variables for Earth observation (EO)-based atmospheric monitoring and environmental variable retrieval.
Yang Cai, Hongyang Ma, Zhiliang Wang, Shuaishuai Jia, Xin Duan, Ge Shi, Chuang Chen   +6 more
doaj   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

The Sparse Grids Matlab kit -- a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification [PDF]

, 2023
The Sparse Grids Matlab Kit provides a Matlab implementation of sparse grids, and can be used for approximating high-dimensional functions and, in particular, for surrogate-model-based uncertainty quantification. It is lightweight, high-level and easy to
Tamellini, Lorenzo, Piazzola, Chiara
core   +1 more source

High-Resolution Urban Microclimate Reconstruction with Generative Diffusion-Based AI Incorporating Sparse Measurements [PDF]

E3S Web of Conferences
Monitoring urban microclimate is essential for sustainable urban design, pedestrian wind comfort assessment, and district-scale energy resilience.
Xu Youmin, Han Xu, Qin Shaoxiang, Wang Liangzhu Leon   +3 more
doaj   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Downscaling top-down CO2 emissions and sinks in China empowered by hybrid training

npj Climate and Atmospheric Science
Atmospheric CO2-based top-down approaches enable objective evaluation of climate mitigation efforts but face dual constraints: sparse monitoring limits spatial resolution, while emission heterogeneity hampers downscaling. To enhance downscaling accuracy,
Junting Zhong, Deying Wang, Lifeng Guo, Changhong Miao, Da Zhang, Fei Yu, Weihua Pan, Fugang Li, Bo Peng, Lichun Li, Lei Ren, Lingyun Zhu, Yan Chen, Chongyuan Wu, Jiaying Li, Xiliang Zhang, Xiaoye Zhang   +16 more
doaj   +1 more source

Hierarchical Stratification for Spatial Sampling and Digital Mapping of Soil Attributes

AgriEngineering
This study assessed whether stratifying agricultural areas into macro- and micro-variability regions allows targeted sampling to better capture soil attribute variability, thus improving digital soil maps compared to regular grid sampling.
Derlei D. Melo, Isabella A. Cunha, Lucas R. Amaral   +2 more
doaj   +1 more source