Boundary integral equations (BIEs) have emerged as a powerful framework for modelling wave propagation, particularly in problems defined over unbounded or complex domains. By reformulating partial ...

Following earlier work of Jones, Davies & Park (1994) we develop estimators based on convolution and interpolation methods, with the aim of reducing their variance and making them competitive with ...

This paper presents a class of boundary integral equation methods for the numerical solution of acoustic and electromagnetic time-domain scattering problems in the presence of unbounded penetrable ...

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...

Abstract: Pulsed electroacoustic method is popular for measuring space charge in dielectrics. However, in the pulsed electroacoustic method, the space charge signal is obtained as an acoustic wave, ...

Traditional convolution is the foundation of convolutional neural networks (CNNs). It involves sliding a set of learnable filters (kernels) over the input data (e.g., an image) to generate feature ...