Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...
The years after the Great Recession were a kind of Goldilocks era in Oregon’s power market. The state’s population and economy were growing robustly, yet power demand was flat. Major advances in power ...
State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing 102249, China College of Petroleum Engineering, China University of Petroleum (Beijing), ...
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.
We often hear about the health care workforce shortage ongoing in our country. I feel it pertinent to clarify that much of the shortage is intentionally induced by hospital systems and the non-compete ...
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