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AI Algorithm for Predicting and Optimizing Trajectory of UAV Swarm
Secondly, we introduce a novel activation function, AdaptoSwelliGauss, which is a sophisticated fusion of Swish and Elliott activations, seamlessly integrated with a scaled and shifted Gaussian component.
Cube Sampled K-Prototype Clustering for Featured Data
Due to the large sizes of data, clustering algorithm often take too much time.
Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics
We experimentally show that we are up to 45% more accurate than HC in terms of clustering accuracy.
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