Results 51 to 60 of about 327,572 (338)
The versatility of the neural network (NN) technique allows it to be successfully applied in many fields of science and to a great variety of problems.
Vladimir Krasnopolsky+3 more
doaj +1 more source
Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature [PDF]
Both the root mean square error (RMSE) and the mean absolute error (MAE) are regularly employed in model evaluation studies. Willmott and Matsuura (2005) have suggested that the RMSE is not a good indicator of average model performance and might be
T. Chai, R. R. Draxler
doaj +1 more source
This manuscript presents advances in digital transformation within materials science and engineering, emphasizing the role of the MaterialDigital Initiative. By testing and applying concepts such as ontologies, knowledge graphs, and integrated workflows, it promotes semantic interoperability and data‐driven innovation. The article reviews collaborative
Bernd Bayerlein+44 more
wiley +1 more source
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger+6 more
wiley +1 more source
Transformer-based nowcasting of radar composites from satellite images for severe weather [PDF]
Weather radar data are critical for nowcasting and an integral component of numerical weather prediction models. While weather radar data provide valuable information at high resolution, their ground-based nature limits their availability, which impedes large-scale applications.
arxiv
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld+9 more
wiley +1 more source
Spatially-resolved hyperlocal weather prediction and anomaly detection using IoT sensor networks and machine learning techniques [PDF]
Accurate and timely hyperlocal weather predictions are essential for various applications, ranging from agriculture to disaster management. In this paper, we propose a novel approach that combines hyperlocal weather prediction and anomaly detection using IoT sensor networks and advanced machine learning techniques.
arxiv
Predicting weather changes [PDF]
Weather changes can be predicted by studing the pressure distribution over a very large surface area on the surface of the Earth. Wind direction and speed can also help in the prediction of the changes that could occur in wether conditions, depending on the surfaces on which these winds track.
openaire +3 more sources
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec+6 more
wiley +1 more source