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, ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

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 ...

ST LOUIS – Washington University School of Medicine built an algorithm based around artificial intelligence that tracks differences in mammograms to help identify women with the highest risk of ...

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 ...