Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...

For decades, a price tag meant everyone paid the same amount for the same product. But that social contract is quietly disappearing. Companies are now using algorithms, AI systems, location data, ...

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Abstract: In evolutionary multiobjective optimization, maintaining a good balance between convergence and diversity is particularly crucial to the performance of the evolutionary algorithms (EAs). In ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) that use non-dominated sorting and sharing have been criticized mainly for: (1) their O(MN/sup 3/) computational complexity (where M is the ...