Dataset
Currently, datasets related to track fastener defects are relatively limited, and due to confidentiality concerns, most railway data are not publicly accessible. As a result, the track fastener dataset used in this study was sourced from…

Currently, datasets related to track fastener defects are relatively limited, and due to confidentiality concerns, most railway data are not publicly accessible. As a result, the track fastener dataset used in this study was sourced from…

The essence of RUL prediction lies in the joint characterization of multi-sensor time series signals in the historical operation process37. Since the characteristics of sensors and time steps contain various degradation…

This section introduces the development of a Goal-Oriented Autonomous Decision-Making (GO-ADM) algorithm. First, we parameterize trajectories through sequential control actions to define and collect Goal-Oriented Expert Demonstrations (GOED),…

Bennett, D. J. Randomness (Harvard University Press, 1998).
Moyer, A. E. Liber de ludo aleae. Renaiss. Q. 60, 1419–1420 (2007).
Sheynin, O. B. Early history of the theory of probability. Arch….

The experiments were conducted using Python 3.8 with PyTorch as the neural network framework32, implemented in the PyCharm IDE. The details of the computer hardware platform…

Under underwater conditions, the limitations in both the quantity and quality of data often impact the model’s performance and generalization ability. Therefore, data augmentation methods are necessary to mitigate the effects…

This study is part of the GATEKEEPER strategy for the Multinational Large-Scale Piloting of an eHealth Platform23. The data were collected in the frame of the Central Greece High Complexity Phase I pilot study: a non-interventional,…

The wave transformation for Eq.(1), consider as
$$\begin{aligned} U ( x, t )= W( \varsigma ), \quad V ( x, t )= Q( \varsigma ), \quad \quad \varsigma = x + \mu t. \end{aligned}$$
(17)
Substitute Eq.(17) into…

Simultaneous acquisition of shaft frequency information from both acoustic and magnetic fields enhances the identification and assessment of the target. This is because acoustic and magnetic signals reflect the characteristics of the ship target…

In this part of the section, we introduce a novel polynomial that emerges during the discretization process of time-delay systems utilizing the BTSH method. This polynomial, denoted as \({B_{B,r}}(z,f,\Delta )\), plays a central role in…