UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

Abstract: To address the issue of low accuracy in unmanned surface vehicle motion state estimation under complex and harsh water surface conditions, a state estimation method based on the coupling of ...

Abstract: The Unbounded Knapsack Problem (UKP), as an important extension of the classical 0-1 knapsack problem, is an NP-hard combinatorial optimization problem characterized by its allowance for ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

You will be redirected to our submission process. The rapid advancement of Graph Neural Networks (GNNs) has revolutionized how machine learning addresses structured, relational, and topological data.

Qingdao Institute for Theoretical and Computational Sciences, Center for Optics Research and Engineering, Shandong University, Qingdao, Shandong 266237, P. R. China ...