Six artificial intelligence-based research projects aimed to help predict cancer will start development in January with a team of student researchers. The projects, through the James Cancer Hospital ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Introduction: Developing short-form psychological measures is essential for reducing respondent burden, saving time, and conserving resources. However, existing short-form development approaches ...
Python implementation of the adaptive seed (centroid) placement part in Adaptive-SNIC algorithm. Following figure shows the corresponding seeds produced by Adaptive-SNIC algorithm. It is clear that ...
1 Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea 2 Department of Applied Statistics, Yonsei University, Seoul, Republic of Korea Clustering is a fundamental ...
ABSTRACT: The deluge of digital information in Liberia necessitates efficient content consumption. LbrBart, a proposed text summarization tool, is specifically designed to cater to the needs of ...
Clustering methods are widely used in pattern recognition, data compression, data mining, but the problem of using them in real-time systems has not been a focus of most algorithm designers. In this ...
Abstract: Sorting does not only occupy a central place in computer science; it also constitutes a building block in machine learning algorithms. This paper draws a useful connection between sorting ...
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