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Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Climate change remains a great challenge to rural livelihoods in Sierra Leone, especially in agricultural communities that depend on climate-sensitive resources. Although indigenous knowledge has been ...

Objective To assess the nutritional status and identify associated factors among children under 5 years residing in Ward 10 of Bhimdatta Municipality, Kanchanpur District, Sudurpashchim Province, ...

This case study describes how high vaccination coverage was achieved during the 2024 polio vaccination campaign in Gaza amid ...

Melissa Horton is a financial literacy professional. She has 10+ years of experience in the financial services and planning industry. Robert Kelly is managing director of XTS Energy LLC, and has more ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

This package contains functions to generate random samples of music recordings. The algorithm developed is a targeted Metropolis-Hastings random walk with jumps, where the target distribution is ...

Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...

Abstract: Exploratory Landscape Analysis characterizes fitness landscapes of various optimization problems to categorize them and reveal relationships with different metaheuristic algorithms. It uses ...