|
|
|
|
|
Michal Juszczyk
Analyses of efficiency are vital for planning and monitoring the duration and costs of construction works, as well as the entire construction project. This paper introduces a combined quantitative (probabilistic) and qualitative (machine learning-based) ...
ver más
|
|
|
|
|
|
|
|
|
Shigang Qin and Deshun Liu
The stochastic fluctuations of wind speed and wind power curve modeling are complex tasks due to fluctuations in the difference between actual and theoretical power output, leading to a reduction in the accuracy of wind-power curve models. To address thi...
ver más
|
|
|
|
|
|
|
|
|
Yuyang Hao, Kan He and Ying Zhang
In this paper, we establish an aggregate class distribution neural network (AGGNN) structure to determine whether an arbitrary two-qubit quantum state is steerable. Compared to the classification results obtained using a support vector machine (SVM) and ...
ver más
|
|
|
|
|
|
|
|
|
Beimbet Daribayev, Aksultan Mukhanbet and Timur Imankulov
The Poisson equation is a fundamental equation of mathematical physics that describes the potential distribution in static fields. Solving the Poisson equation on a grid is computationally intensive and can be challenging for large grids. In recent years...
ver más
|
|
|
|
|
|
|
|
|
Yinghui Wang, Wenjun Wang, Minglai Shao and Yueheng Sun
Network alignment (NA) offers a comprehensive way to build associations between different networks by identifying shared nodes. While the majority of current NA methods rely on the topological consistency assumption, which posits that shared nodes across...
ver más
|
|
|
|