papers

Publications (5)

astro-ph.HE2022

Search for Gravitational Waves Associated with Fast Radio Bursts Detected by CHIME/FRB During the LIGO--Virgo Observing Run O3a

The LIGO Scientific Collaboration, the Virgo Collaboration, the KAGRA Collaboration +1654

We search for gravitational-wave transients associated with fast radio bursts (FRBs) detected by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst Project (CHIME/…

astro-ph.CO2010

The properties of Brightest Cluster Galaxies in the SDSS DR6 adaptive matched filter cluster catalogue

A. Pipino, T. Szabo, E. Pierpaoli +2

We study the properties of Brightest Cluster Galaxies (BCGs) drawn from a catalogue of more than 69000 clusters in the SDSS DR6 based on the adaptive matched filter technique (AMF,…

eess.SP2022

Roadmap on Signal Processing for Next Generation Measurement Systems

D. K. Iakovidis, M. Ooi, Y. C. Kuang +31

Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, image…

eess.SP2024

MU-MIMO Symbol-Level Precoding for QAM Constellations with Maximum Likelihood Receivers

X. Tong, A. Li, L. Lei +4

In this paper, we investigate symbol-level precoding (SLP) and efficient decoding techniques for downlink transmission, where we focus on scenarios where the base station (BS) tran…

physics.flu-dyn2026

Harnessing Machine Learning for Hybrid Constitutive Modelling of Viscoelastic Fluid Flows in Computational Rheology

J. L. Cummings, C. Fernandes, F. Dong +2

The paper introduces a hybrid machine‑learning approach that merges Tensor Basis Neural Networks with Universal Differential Equations to discover frame‑invariant constitutive mode…

#viscoelastic fluids#machine learning#constitutive modeling#tensor basis neural networks