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Related publications (91)

Fifth-generation fractal antenna design based on the Koch Snowflake geometry. A fractal theory application

The projection of fifth-generation (5G) fractal antennas and their advantageous geometry are examined. The fact that fractal-shaped antennas based on Koch Snowflake geometry are suitable for higher frequencies was shown above all. By the instrumentality of ...

WILEY2023

Power variations in fractional Sobolev spaces for a class of parabolic stochastic PDEs

Robert Dalang, Carsten Hao Ye Chong

We consider a class of parabolic stochastic PDEs on bounded domains D c Rd that includes the stochastic heat equation but with a fractional power gamma of the Laplacian. Viewing the solution as a process with values in a scale of fractional Sobolev spaces ...

INT STATISTICAL INST2023

Discovering perceived images of reused industrial heritage from user-generated photos: Three mega-event reinforced industrial heritage transformation cases

Huishu Deng

Cities are increasingly reusing industrial heritage as part of cultural and creative regeneration strategies. However, designers and decision-makers face the challenge of determining which features and elements of industrial heritage are more perceived and ...

2023

Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport

Isabel Haasler, Axel Ringh, Yiqiang Chen

In this work, we develop a new framework for dynamic network flow pro-blems based on optimal transport theory. We show that the dynamic multicommodity minimum-cost network flow problem can be formulated as a multimarginal optimal transport problem, where t ...

2023

Correlated-photon imaging at 10 volumetric images per second

Edoardo Charbon, Claudio Bruschini, Paul Mos, Arin Can Ülkü

The correlation properties of light provide an outstanding tool to overcome the limitations of traditional imaging techniques. A relevant case is represented by correlation plenoptic imaging (CPI), a quantum-inspired volumetric imaging protocol employing s ...

NATURE PORTFOLIO2023

Exploiting Explanations to Detect Misclassifications of Deep Learning Models in Power Grid Visual Inspection

Olga Fink, Giovanni Floreale

In the context of automatic visual inspection of infrastructures by drones, Deep Learning (DL) models are used to automatically process images for fault diagnostics. While explainable Artificial Intelligence (AI) algorithms can provide explanations to asse ...

Research Publishing2023

RADCAM-A radiation camera system combining foil bolometers, AXUV diodes, and filtered soft x-ray diodes

Basil Duval, Umar Sheikh, Luke Simons

Measurements of radiated power are critical for characterizing and optimizing tokamak performance. The RADCAM system, comprising arrays of foil bolometers, Absolute eXtreme UltraViolet (AXUV), and filtered soft x-ray diodes, has been constructed to provide ...

AIP Publishing2022

Cyclative Release Strategy to Obtain Pure Cyclic Peptides Directly from the Solid Phase

Christian Heinis, Manuel Leonardo Merz, Sevan Mleh Habeshian, Ganesh Ashokrao Sable

The synthesis of large numbers of cyclic peptides-required, for example, in screens for drug development-is currently limited by the need of chromatographic purification of individual peptides. Herein, we have developed a strategy in which cyclic peptides ...

AMER CHEMICAL SOC2022

Contribution Measures for Incentivizing Personalized Collaborative Learning

Federated and decentralized learning have become key building blocks for privacy-preserving machine learning. Participation in these opaque federations may be better incentivized by transparent communication of each user's contribution. For real-world appl ...

2021

Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates

Fabio Nobile, Davide Pradovera

We propose a model order reduction approach for non-intrusive surrogate modeling of parametric dynamical systems. The reduced model over the whole parameter space is built by combining surrogates in frequency only, built at few selected values of the param ...

2021

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