Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...
Cambridge, MA – Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is ...
EasyCSP is an open-source Java library for Constraint Satisfaction Programming. Supports CSPs, CSOPs, discrete object domains, int interval domains, int constraint binarization. Examples include ...
Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...
We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.
OKLAHOMA CITY & DALLAS--(BUSINESS WIRE)--From slow-moving inventory to capacity constraints, the furniture industry faces unique supply chain challenges that are difficult to manage at scale via ...
1 School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2 School of Intelligent Systems and Engineering, Sun Yat-sen University, Shenzhen, China This study addresses the ...
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