What originated as a narrow procurement notice has grown into a broader effort that links machine-learning models with ...
It is commonly assumed that tiny particles just go with the flow as they make their way through soil, biological tissue, and other complex materials. But a team of Yale researchers led by Professor ...
Abstract: Dynamic multi-objective optimization problems (DMOPs) demand efficient tracking of time-varying Pareto optimal solutions (POS) and fronts (POF) under complex environmental changes. Although ...
Abstract: With the rapid development of communication technology, an increasing amount of image information relies on network transmission. While this enhances transmission efficiency, it also raises ...
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