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20052025
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 2019Show all

39 papers · 1 filter

cs.CV20193 cited

Cascading Convolutional Color Constancy

Huanglin Yu, Ke Chen, Kaiqi Wang +3

Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy. However, it's still challenging due to…

physics.flu-dyn2019336 cited

Rogue waves and analogies in optics and oceanography

J. M. Dudley, G. Genty, A. Mussot +2

We review the study of rogue waves and related instabilities in optical and oceanic environments, with particular focus on recent experimental developments. In optics, we emphasize…

astro-ph.EP201918 cited

(704) Interamnia: A transitional object between a dwarf planet and a typical irregular-shaped minor body

J. Hanuš, P. Vernazza, M. Viikinkoski +56

With an estimated diameter in the 320 to 350 km range, (704) Interamnia is the fifth largest main belt asteroid and one of the few bodies that fills the gap in size between the fou…

cs.LO201911 cited

Formula size games for modal logic and -calculus

Lauri Hella, Miikka Vilander

We propose a new version of formula size game for modal logic. The game characterizes the equivalence of pointed Kripke-models up to formulas of given numbers of modal operators an…

cs.SD20193 cited

VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation

Shayan Gharib, Konstantinos Drossos, Eemi Fagerlund +1

The performance of sound event detection methods can significantly degrade when they are used in unseen conditions (e.g. recording devices, ambient noise). Domain adaptation is a p…

quant-ph201946 cited

Quantum Lissajous Scars

J. Keski-Rahkonen, A. Ruhanen, E. J. Heller +1

A quantum scar - an enhancement of a quantum probability density in the vicinity of a classical periodic orbit - is a fundamental phenomenon connecting quantum and classical mechan…