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This paper presents a theoretical framework for parallelizing the FD3 algorithm, which estimates the capacity, information, and correlation dimensions of chaotic time series using the box-counting ...

What Happened: This is pretty wild. There’s an AI-generated singer named Xania Monet who just became the first-ever artificial artist to land on multiple Billboard radio charts. We’re talking millions ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

Propose the introduction of Radix Sort into TuGraph-Analytics to achieve improved sorting performance under specific data types and scales. The solution will dynamically select the optimal sorting ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

TuGraph-Analytics is a high-performance graph data analysis system that currently utilizes Java's built-in priority queue for sorting, which is primarily based on heap sort. However, when sorting keys ...

This paper investigates the task scheduling problem for the Earth observation Interferometric Synthetic Aperture Radar (InSAR) satellite system. The mission time window generation method is introduced ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal. Computer scientists often ...