We propose an optimal timing selection problem, in which a leader maximizes public opinion at a specific time by strategically selecting intervention times given a limited number of interventions.

During the demonstration of the potato selection robot Croptiscan by startup Croptimal in the Dutch town of Emmeloord.

Federated learning faces challenges associated with privacy breaches, client communication efficiency, stragglers’ effect, and heterogeneity. To address these challenges, this paper reformulates the ...

Choosing AI-Agnostic Problems With so much that remains unclear, a rigorous strategy to problem selection should be agnostic to the timeline of AI advancement.

Our optimal feature selection-based ML model accurately and reliably predicts CT abnormalities in mTBI patients using routine test data. By addressing clinicians' concerns regarding transparency and ...

Sometimes less is more. Researchers accurately modeled dynamic fish schooling by incorporating the tendency of fish to focus on a single visual target instead of the whole school, as well as other ...

# building dynamic programming algorithm that delivers O(n^2) performance. # The goal of the optimal BST problem is to build a low-cost BST for a # given set of nodes, each with its own key and ...