1 Institute of Material Systems Modeling, Helmholtz-Zentrum Hereon, Geesthacht, Germany 2 Institute for Continuum and Material Mechanics, Hamburg University of Technology, Hamburg, Germany Datasets ...

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 ...

Abstract: Summary form only given. Here we present a disk-based parallel formulation of the multilevel k-way hypergraph partitioning algorithm. This algorithm provides the capability to partition very ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Given an album with more than 1 song, partition the songs into an even number of sides with some sort of max capacity (maybe 22 minutes). The current algorithm is greedy and just places songs until ...

Offline, in real-world Los Angeles, most Angelenos are having a perfectly normal day. But online, the fires and riots are still raging. The powerful algorithms that fuel social media platforms are ...

ABSTRACT: Background: Unjustified emergency department (ED) visits are a global issue, contributing to overcrowding, reduced care quality, decreased patient satisfaction, and increased healthcare ...

Section 3(k) excludes pure algorithms and business methods from patentability. Blackberry’s cases test when software inventions qualify for patents in India. Delhi High Court rulings clarify criteria ...

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 ...