Low-dimensional data embedding for scalable astronomical imaging in the SKA telescope era

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This code is used for developing the project entitled “Study on conformal antennas, proof of concept prototype for a UAV”, from the aspects of theory, design, and implementation. This code aims to speed up the investigation of an arbitrary phased array ant ...

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Experimental measurements of the turbulence amplitude utilizing a short pulse reflectometry method are presented. Two discharges with shaped plasma possessing opposite signs of triangularity are considered and a higher turbulence amplitude is found in the ...

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The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...

As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...

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This paper proposes a data-driven control design method for nonlinear systems that builds upon the Koopman operator framework. In particular, the Koopman operator is used to lift the nonlinear dynamics to a higher-dimensional space where the so-called obse ...

Low-dimensional data embedding for scalable astronomical imaging in the SKA telescope era

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Code for project entitled "study on conformal antennas, proof of concept prototype for a UAV"

Electromagnetic Radiation of Implantable Antennas

Validation of short-pulse reflectometry turbulence measurements with a synthetic diagnostic

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Robust machine learning for neuroscientific inference

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Extensions of Peer Prediction Incentive Mechanisms

Autorepression of yeast Hsp70 cochaperones by intramolecular interactions involving their J-domains

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Magnetism of Single Surface Adsorbed Atoms Studied with Radio-Frequency STM

Data-Driven Control Synthesis using Koopman Operator: A Robust Approach