Results 41 to 50 of about 10,881 (265)
Data interpretation method of coal-rock interface detection based on ground penetrating radar
For problems that existing coal-rock interface identification methods lacked research on characteristics of coal-rock seam and were unable to interpret data well, a data interpretation method of coal-rock interface detection was proposed combining with ...
MIAO Shuguang +3 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Tunnel geomechanical parameters prediction using Gaussian process regression
The purpose of this study is to apply a modern intelligent method of Gaussian process regression (GPR) to predict the geological parameter of Rock Quality Designation (RQD) along the tunnel route. This method can also be used for any geological parameter
Arsalan Mahmoodzadeh +6 more
doaj +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
A 3-D Parallel Method of PSTD-Based Reverse Time Migration of GPR Data
Ground penetrating radar (GPR) is a nondestructive technique with broad applications. Reverse time migration (RTM) of GPR data plays an important role in imaging complex structure.
Lingjia Huang, Bowen Ma, Qinghua Huang
doaj +1 more source
3D-GPR-RM: A Method for Underground Pipeline Recognition Using 3-Dimensional GPR Images
Ground penetrating radar (GPR), as a non-destructive and rapid detection instrument, has been widely used for underground pipeline detection. However, as the interpretation of 3-dimensional GPR images is still manually performed, the process is inefficient.
Xu Bai +8 more
openaire +2 more sources
A Bayesian optimization framework identifies the ideal composition for Lu2(MoO4)3:Yb–Er–Tm phosphors with minimal experimental trials. By leveraging the host's negative thermal expansion, the material achieves remarkable thermal quenching compensation.
Reiko Furukawa +7 more
wiley +1 more source
Enhancing Image Alignment in Time-Lapse-Ground-Penetrating Radar through Dynamic Time Warping
Ground-penetrating radar (GPR) is a rapid and non-destructive geophysical technique widely employed to detect and quantify subsurface structures and characteristics. Its capability for time lapse (TL) detection provides essential insights into subsurface
Jiahao Wen +7 more
doaj +1 more source
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang +13 more
wiley +1 more source

