Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Abstract: Clustering technology has important applications in data mining, pattern recognition, machine learning and other fields. However, with the explosive growth of data, traditional clustering ...
The increasing complexity of Internet of Things and modern battlefield electromagnetic environments poses significant challenges to radiation source localization, especially under electronic ...
In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...
To address the limitations of traditional crop phenotyping methods, such as slow data collection, high error susceptibility, and seedling damage, we proposed a non ...
The growing demand for energy-efficient Wireless Sensor Networks (WSNs) in applications such as IoT, environmental monitoring, and smart cities has sparked exhaustive research into practical solutions ...
Smart Banner Hub's Revolutionary Studios Turn Simple Text and Drawings into Mesmerizing Animations Using Advanced Clustering Algorithms That Redraw Themselves Point-by-Point BEAVERTON, Ore., July 10, ...
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