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20052026
most citedA Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications

1.4k citations

Showing 2020Show all

30 papers · 1 filter

math.FA2020

Unitary boundary pairs for isometric operators in Pontryagin spaces and generalized coresolvents

D. Baidiuk, V. Derkach, S. Hassi

An isometric operator V in a Pontryagin space H is called standard, if its domain and the range are nondegenerate subspaces in H. A description of coresolvents for standard isometr…

eess.SP202012 cited

Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications

Dick Carrillo, Konstantin Mikhaylov, Pedro J. Nardelli +2

Despite the immense progress in the recent years, efficient solutions for monitoring remote areas are still missing today. This is especially notable in the context of versatile ma…

cs.CV2020

Fast Fourier Intrinsic Network

Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen +1

We address the problem of decomposing an image into albedo and shading. We propose the Fast Fourier Intrinsic Network, FFI-Net in short, that operates in the spectral domain, split…

eess.AS20202 cited

Zero-Shot Audio Classification with Factored Linear and Nonlinear Acoustic-Semantic Projections

Huang Xie, Okko Räsänen, Tuomas Virtanen

In this paper, we study zero-shot learning in audio classification through factored linear and nonlinear acoustic-semantic projections between audio instances and sound classes. Ze…

eess.AS20204 cited

Zero-Shot Audio Classification via Semantic Embeddings

Huang Xie, Tuomas Virtanen

In this paper, we study zero-shot learning in audio classification via semantic embeddings extracted from textual labels and sentence descriptions of sound classes. Our goal is to…

eess.SP2020

Peer Offloading with Delayed Feedback in Fog Networks

Miao Yang, Hongbin Zhu, Hua Qian +3

Comparing to cloud computing, fog computing performs computation and services at the edge of networks, thus relieving the computation burden of the data center and reducing the tas…