This paper considers the deployment of intelligent reflecting surfaces (IRSs) technology for
wireless multi-hop backhauling of multiple basestations (BSs) connected in a mesh …

While deep neural networks are highly effective at solving complex tasks, large pre-trained
models are commonly employed even to solve consistently simpler downstream tasks …

Motivation Simulation is a critical part of method development and assessment. With the
increasing sophistication of multi-trait and multi-locus genetic analysis techniques, it is …

The usage of passive intelligent surface (PIS) is emerging as a low-cost green alternative to
massive antenna systems for realizing high-energy beamforming (EB) gains. Considering …

Scatter corrections are commonly applied to refine near‐infrared (NIR) spectra. The aim of
this study is to assess the impact of measurement errors when using ordinary least squares …

The Multiple-Input-Multiple-Output (MIMO) capabilities of an Intelligent Reflective Surface
(IRS) combined with the inherent versatility of an Unmanned Aerial Vehicle (UAV) can …

Multivariate modelling of economics data is crucial for risk and profit analyses in companies.
However, for the final conclusions, a whole set of variables is usually transformed into a …

While deep neural networks are highly effective at solving complex tasks, their
computational demands can hinder their usefulness in real-time applications and with …

Peatlands play an important role as carbon pools, storing a third of the world's soil carbon.
However, peatlands in Southeast Asia have suffered from depletion due to economic …

The proofs of the probability density function (pdf) of the Wishart distribution tend to be
complicated with geometric viewpoints, tedious Jacobians and not self-contained algebra. In …