Abstract: Accurate offset measurement is crucial for recovering the size of past earthquakes and understanding the recurrence patterns of strike-slip faults. Traditional methods, which rely on manual ...

Kumasi, Feb.23, GNA – Professor Prince Osei-Wusu Adjei, a Development Geographer at the Department of Geography and Rural Development, Kwame Nkrumah University of Science and Technology (KNUST), has ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

ABSTRACT: In this paper, an Optimal Predictive Modeling of Nonlinear Transformations “OPMNT” method has been developed while using Orthogonal Nonnegative Matrix Factorization “ONMF” with the ...

Forbes contributors publish independent expert analyses and insights. Dr. Cheryl Robinson covers areas of leadership, pivoting and careers. To pass ATS job application filters, tailor your resume and ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...

Abstract: The k-means algorithm is a widely used Machine learning algorithm for clustering. This paper introduces a parallel k-means algorithm implementation for image classification. We implemented ...