Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Core Facility Center, The University of Osaka, 1-2 Machikaneyama, Toyonaka, Osaka 560-0043, Japan Forefront Research Center, Graduate School of Science, The University of Osaka, 1-1 Machikaneyama, ...

ABSTRACT: In this article, we propose developing a reliable and sensitive method for determining tryptamine (TRYP) levels in canned fish samples using spectrofluorimetric analysis. The analytical ...

Artist’s impression of a binary neutron star merger, emitting gravitational waves and electromagnetic radiation. Detection and analysis of these signals can provide profound insights into the ...

1 Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. In modern society, dense crowd detection technology is particularly ...

[1_dataStructure_02_9093] (Date : 2024.10.30) / Source : https://www.acmicpc.net/problem/9093 [1_dataStructure_03_9012] (Date : 2024.10.30) / Source : https://www ...

The increasing energy demands of AI pose a significant challenge to sustainability and decarbonization goals. Researchers have discovered a new integer-addition algorithm that could reduce AI's energy ...

A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new ...

Issue will be closed if: You mention more than one algorithm. You can create a separate issue for each algorithm once the current one is completed. You propose an algorithm that is already present or ...