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Tiny object detection is one of the key challenges in the field of object detection. The performance of most generic detectors dramatically decreases in tiny object detection tasks. The main challenge lies in extracting effective features…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Bing Cao , Haiyu Yao , Pengfei Zhu , Qinghua Hu

Deterministic lateral displacement (DLD) devices separate micrometer-scale particles in solution based on their size using a laminar microfluidic flow in an array of obstacles. We investigate array geometries with rational row-shift…

Topological metamaterials unlock confined and robust elastic wave control in mechanical structures. Recent breakthroughs have precipitated the development of 3D topological mechanical metamaterials, which extend beyond the conventional 1D…

Applied Physics · Physics 2023-10-30 Patrick Dorin , Mustafa Khan , K. W. Wang

We consider the steady-state nonequilibrium behavior of mesoscopic superconducting wires connected to normal-metal reservoirs. Going beyond the diffusive limit, we utilize the quasiclassical theory and perform a self-consistent calculation…

Superconductivity · Physics 2021-11-22 Kevin Marc Seja , Tomas Löfwander

The same machine learning model running on different edge devices may produce highly-divergent outputs on a nearly-identical input. Possible reasons for the divergence include differences in the device sensors, the device's signal…

Machine Learning · Computer Science 2020-10-20 Eyal Cidon , Evgenya Pergament , Zain Asgar , Asaf Cidon , Sachin Katti

In the past two decades, most research on anomaly detection has focused on improving the accuracy of the detection, while largely ignoring the explainability of the corresponding methods and thus leaving the explanation of outcomes to…

Machine Learning · Computer Science 2023-07-12 Zhong Li , Yuxuan Zhu , Matthijs van Leeuwen

The conductance of a disordered finite-size electron system is calculated by reducing the initial dynamic problem of arbitrary dimensionality to strictly one-dimensional problems for one-particle mode propagators. The metallic ground state…

Disordered Systems and Neural Networks · Physics 2007-05-23 Yu. V. Tarasov

This work extends the theory of topological protection to dispersive systems. This theory has emerged from the field of topological insulators and has been established for continuum models in both classical and quantum settings. It predicts…

Analysis of PDEs · Mathematics 2023-11-13 Konstantinos Alexopoulos , Bryn Davies

The series expansion of the residual-mean eddy streamfunction and the quasi-Stokes streamfunction are compared up to third order in buoyancy perturbation, both formally and by using several idealised eddy-permitting zonal channel model…

Atmospheric and Oceanic Physics · Physics 2016-05-03 Jan Viebahn , Carsten Eden

Persistent currents and Drude weights are investigated for the tight-binding approximation to one-dimensional rings threaded by a magnetic flux and with potential given by some almost-periodic substitution sequences with different degrees…

Disordered Systems and Neural Networks · Physics 2009-11-07 Giancarlo Queiroz Pellegrino

Camouflaged object detection (COD) aims to accurately detect objects hidden in the surrounding environment. However, the existing COD methods mainly locate camouflaged objects in the RGB domain, their performance has not been fully…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Runmin Cong , Mengyao Sun , Sanyi Zhang , Xiaofei Zhou , Wei Zhang , Yao Zhao

Nanometer-scale imaging of magnetization and current density is the key to deciphering the mechanisms behind a variety of new and poorly understood condensed matter phenomena. The recently discovered correlated states hosted in atomically…

Mesoscale and Nanoscale Physics · Physics 2022-02-01 Estefani Marchiori , Lorenzo Ceccarelli , Nicola Rossi , Luca Lorenzelli , Christian L. Degen , Martino Poggio

We consider time-harmonic electromagnetic wave equations in composites of a dispersive material surrounded by a classical material. In certain frequency ranges this leads to sign-changing permittivity and/or permeability. Previously meshing…

Numerical Analysis · Mathematics 2021-04-20 Martin Halla

Electromagnetic properties depend on the composition of materials, i.e. either angstrom scales of molecules or, for metamaterials, subwavelength periodic structures. Each material behaves differently in accordance with the frequency of an…

Frequency dynamic convolution (FDY conv) has shown the state-of-the-art performance in sound event detection (SED) using frequency-adaptive kernels obtained by frequency-varying combination of basis kernels. However, FDY conv lacks an…

Audio and Speech Processing · Electrical Eng. & Systems 2024-06-11 Hyeonuk Nam , Seong-Hu Kim , Deokki Min , Junhyeok Lee , Yong-Hwa Park

A contour dynamics model for electrical discharges is obtained and analyzed. The model is deduced as the asymptotic limit of the minimal streamer model for the propagation of electric discharges, in the limit of small electron diffusion.…

Plasma Physics · Physics 2013-05-29 M. Arrayás , M. A. Fontelos , C. Jiménez

In the field of spintronics, ferromagnetic/non-magnetic metallic multilayers are core building blocks for emerging technologies. Resonance experiments using stripline transducers are commonly used to characterize and engineer these stacks…

Mesoscale and Nanoscale Physics · Physics 2019-07-19 O. Gladii , R. L. Seeger , L. Frangou , G. Forestier , U. Ebels , S. Auffret , V. Baltz

We exploit here the dramatic field enhancement caused by energy squeezing and tunneling (i.e., 'supercoupling') in metamaterial-inspired ultranarrow waveguide channels with near zero effective permittivity in order to sense small…

Materials Science · Physics 2009-11-13 Andrea Alu , Nader Engheta

The aim of this paper is provide new insights into the properties of the rank 2 polarizability tensor $\check{\check{\mathcal M}}$ proposed in (P.D. Ledger and W.R.B. Lionheart Characterising the shape and material properties of hidden…

Optics · Physics 2018-07-04 P. D. Ledger , W. R. B. Lionheart

The problem of reducing noise in the transportation is an important research field to prevent accidents and to provide a civilized environment for people. A material that has recently attracted attention in research to reduce noise is…

Mesoscale and Nanoscale Physics · Physics 2021-12-13 Myong Chol Pak , Kwang-Il Kim , Hak Chol Pak , Kwon Ryong Hong