English
Related papers

Related papers: Trailing-Edge Noise Reduction using Porous Treatme…

200 papers

Aircraft noise exposure has traditionally been assessed using static residential population data and long-term average noise metrics, often overlooking the dynamic nature of human mobility and temporal variations in operational conditions.…

Applications · Statistics 2025-04-23 Soohwan Oh , Hyunsoo Cho , Jungwoo Cho

A surrogate-based topology optimisation algorithm for linear elastic structures under parametric loads and boundary conditions is proposed. Instead of learning the parametric solution of the state (and adjoint) problems or the optimisation…

Numerical Analysis · Mathematics 2025-11-04 Matteo Giacomini , Antonio Huerta

Ensuring adequate wireless coverage in upcoming communication technologies such as 6G is expected to be challenging. This is because user demands of higher datarate require an increase in carrier frequencies, which in turn reduce the…

Signal Processing · Electrical Eng. & Systems 2024-09-27 Sai Sanjay Narayanan , Uday K Khankhoje , Radha Krishna Ganti

In this paper, we present a theoretical analysis of different integrating front-ends employed in broad-band communications through \textit{lossy} channels. Time-domain receivers for broad-band communication typically deal with large…

Signal Processing · Electrical Eng. & Systems 2020-04-23 Antroy Roy Chowdhury , Shovan Maity , Shreyas Sen

A noise modelling approach is proposed for bluff body wakes such as flow over a cylinder, where the primary noise source comprises large-scale coherent structures such as the vortex shedding flow feature. This phenomenon leads to Aeolian…

Fluid Dynamics · Physics 2024-04-18 Robin Prinja , Peter Jordan , Florent Margnat

As the size of quantum hardware progressively increases, the conjectured computational advantages of quantum technologies tend to be threatened by noise, which randomly corrupts the design of quantum logical gates. Several methods already…

Quantum Physics · Physics 2023-12-29 Tam'si Ley , Anna Ouskova Leonteva , Johannes Schachenmayer , Pierre Collet

Coating Brownian noise is the dominant noise term, in a frequency band from a few tens to a few hundreds Hz, for all Earth-bound detectors of gravitational waves. Minimizing such noise is mandatory to increase the visibility distance of…

General Relativity and Quantum Cosmology · Physics 2023-07-19 Maria Principe

Surrogate Neural Networks are nowadays routinely used in industry as substitutes for computationally demanding engineering simulations (e.g., in structural analysis). They allow to generate faster predictions and thus analyses in industrial…

Sound recordings are used in various ecological studies, including acoustic wildlife monitoring. Such surveys require automatic detection of target sound events. However, current detectors, especially those relying on band-limited energy,…

Applications · Statistics 2021-10-13 Julius Juodakis , Stephen Marsland

Metasurface based super absorbers exhibit near unity absorbance. While the absorption peak can be tuned by the geometry/size of the sub-wavelength resonator, broadband absorption can be obtained by placing multiple resonators of various…

Materials Science · Physics 2019-04-03 Arvind Nagarajan , Kumar Vivek , Manav Shah , Venu Gopal Achanta , Giampiero Gerini

While implicit regularization facilitates benign overfitting in low-noise regimes, recent theoretical work predicts a sharp phase transition to harmful overfitting as the noise-to-signal ratio increases. We experimentally isolate the…

Machine Learning · Computer Science 2026-04-07 Zice Wang

Accurate and efficient surrogate models for aerodynamic surface pressure fields are essential for accelerating aircraft design and analysis, yet deterministic regressors trained with pointwise losses often smooth sharp nonlinear features.…

Fluid Dynamics · Physics 2026-04-14 Víctor Francés-Belda , Carlos Sanmiguel Vila , Rodrigo Castellanos

Ultrasound imaging is extensively employed in clinical settings due to its non-ionizing nature and real-time capabilities. The beamformer represents a crucial component of an ultrasound machine, playing a significant role in shaping the…

Optimization and Control · Mathematics 2024-01-12 Chiara Razzetta , Valentina Candiani , Marco Crocco , Federico Benvenuto

We introduce bidirectional edge diffraction response function (BEDRF), a new approach to model wave diffraction around edges with path tracing. The diffraction part of the wave is expressed as an integration on path space, and the wave-edge…

Sound · Computer Science 2023-06-06 Chunxiao Cao , Zili An , Zhong Ren , Dinesh Manocha , Kun Zhou

This paper introduces a novel surrogate modeling framework for aerodynamic applications based on Neural Fields. The proposed approach, MARIO (Modulated Aerodynamic Resolution Invariant Operator), addresses non parametric geometric…

Modelling the noise emitted by turbulent jets is made difficult by their acoustic inefficiency: only a tiny fraction of the near-field turbulent kinetic energy is propagated to the far field as acoustic waves. As a result, jet-noise models…

Fluid Dynamics · Physics 2023-07-05 Ugur Karban , Benjamin Bugeat , Aaron Towne , Lutz Lesshafft , Anurag Agarwal , Peter Jordan

Any practical imaging system, be it reflection, refraction, or diffraction-based, is basically band limited and therefore is bound to be affected by airy pattern noise. Apodization of the passband is most often applied as a preferred method…

Image and Video Processing · Electrical Eng. & Systems 2020-12-03 Gajendra Singh Solanki

It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution of this problem is to use the multi-cell cooperation idea. In Cloud Radio Access Network, which is a candidate…

Information Theory · Computer Science 2021-02-16 Fehmi Emre Kadan , Ali Özgür Yılmaz

We demonstrate that porous fibers have low effective material loss over an extended frequency range, 4.5 times larger bandwidth than that can be achieved in sub-wavelength solid core fibers. We also show that these new fibers can be…

This paper proposes novel noise-free Bayesian optimization strategies that rely on a random exploration step to enhance the accuracy of Gaussian process surrogate models. The new algorithms retain the ease of implementation of the classical…

Machine Learning · Computer Science 2024-07-18 Hwanwoo Kim , Daniel Sanz-Alonso
‹ Prev 1 4 5 6 7 8 10 Next ›