The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests ...

Abstract: The performance of grid partitioning methods has a significant impact on the results of distributed state estimation (DSE). Most existing grid partitioning methods struggle to balance node ...

Abstract: The nodal admittance matrix (NAM)-based approach is well-suited for small-signal stability analysis of large-scale power electronics-based power systems (PEPSs), as it preserves the system ...

PReMM, an LLM-based program repair framework for Multi-Method Bugs. PReMM builds on three core components: the faulty method clustering component to partition the faulty methods into clusters based on ...

Rocky high steep slopes are among the most dangerous disaster-causing geological bodies in large-scale engineering projects, like water conservancy and hydropower projects, railway tunnels, and metal ...

1 Faculty of Psychology and Speech Therapy, University of Malaga, Málaga, Spain 2 Faculty of Psychology and Speech Therapy, University of Valencia, Valencia, Spain However, what about the empowering ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the application of quantum computing to metal cluster analysis ...

IGUA is a method for high-throughput content-agnostic identification of Gene Cluster Families (GCFs) from gene clusters of genomic and metagenomic origin. It performs three clustering iterations to ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...