A modified transformer based on adaptive frequency enhanced attention, large kernel convolution, and multiscale implementation for bearing fault diagnosis. [PDF]
Chang X, Cai S, Cai W, Mo Y, Wei L.
europepmc +1 more source
The article presents a benchmark study using state‐of‐the‐art high‐level ab initio methodologies to predict infrared and Raman frequencies of subnanometric metal clusters. The importance of characterizing conical intersections in their potential energy landscapes is also highlighted, with the associated (Pseudo‐)Jahn–Teller distortions of cluster ...
Katarzyna M. Krupka +2 more
wiley +1 more source
Improving wind power prediction with advanced temporal and frequency domain processing combined with error correction. [PDF]
Gao J, Sun Y, Kim H, Kim C, Jung H.
europepmc +1 more source
Bone's complex hierarchical structure contains many internal interfaces, including the cement line (CL) around osteons. This article shows that the CL is stiffer and harder than surrounding bone but has different mineral–mechanics relationships. These findings challenge the view of the CL as a soft, protective interface and provide insights for ...
Astrid Cantamessa +11 more
wiley +1 more source
Ball bearing fault detection using an acoustic based machine learning approach. [PDF]
Chandrakala CB +3 more
europepmc +1 more source
Abstract An analytical framework suited for the analysis of shear‐critical ultra‐high performance concrete (UHPC) members is presented. The numerical methodology utilizes a nonlinear finite element analysis formulation integrated with an artificial neural network (ANN) that characterizes the UHPC tension response based on its mix design. In addition, a
Amjad Diab, Anca Ferche
wiley +1 more source
A Method Combining Discrete Cosine Transform with Attention for Multi-Temporal Remote Sensing Image Matching. [PDF]
Zeng Q, Hui B, Liu Z, Xu Z, He M.
europepmc +1 more source
Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation
ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen +3 more
wiley +1 more source
Simulation-based inference of cell migration dynamics in complex spatial environments. [PDF]
Arruda J +7 more
europepmc +1 more source
Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism
ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley +1 more source

