As nations race toward carbon neutrality, the intermittency of wind and solar power poses a major challenge to grid reliability. While hydrogen energy storage systems (HESS) offer a promising buffer ...
Abstract: The density-based spatial clustering of applications with noise (DBSCAN) is regarded as a pioneering algorithm of the density-based clustering technique. It provides the ability to handle ...
Abstract: Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means ...
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Combating mobile money/digital fraud in Ghana: Strategies for securing digital payments
By Dr. Richmond Atuahene1.0 Introduction/ BackgroundGlobalization and digitization are two major trends that will shape the future of nations. Despite the many challenges associated with adapting to ...
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While proficient in capturing complex scenes, the study acknowledges limitations, suggesting potential areas for refinement. The findings underscore the efficiency and adaptability of the proposed ...
Customers were grouped based on spending behavior and income. High-income, high-spending customers were identified as premium customers. Low-income, low-spending customers formed a separate segment.
The DBSCAN algorithm and principal component analysis (PCA) were used to denoise and correct the direction of the acquired three-dimensional point cloud, and then extract the tree height, crown width, ...
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