Abstract: Many time-varying problems have been solved using the zeroing neural network proposed by Zhang et al. In this article, nine types of time-varying problems, namely time-varying nonlinear ...

If drying cycles seem endless and laundry never feels fully done even after multiple cycles, there may be an overlooked issue affecting performance.

Abstract: This paper presents CQT-Diff, a data-driven generative audio model that can, once trained, be used for solving various different audio inverse problems in a problem-agnostic setting.

For much of the past month, students on South Campus have been struggling with laundry. Several machines, as well as the K-Card reader in Old Kenyon Residence Hall, have been out of order for three ...