In most cases in which non-allowable settlement or losing of bearing capacity has been
encountered in geotechnical engineering, employing micropile usually leads to satisfactory …

Feature attribution methods (AMs) are a simple means to provide explanations for the
predictions of black-box models such as neural networks. Due to their conceptual …

Time and cost-efficient techniques are essential to avoid extra conventional experimental
studies with large data-set for material characterization of composite materials. This study is …

Candida albicans can cause mucosal infections in humans. This includes oropharyngeal
candidiasis, which is commonly observed in human immunodeficiency virus infected …

In the process of designing pile foundations, it is essential to take the axial bearing capacity
(B c) of the pile into consideration., where determination of this target requires extreme fields …

A global Bayesian analysis of relativistic Pb+ Pb collisions at s NN= 2.76 TeV is performed,
using a multistage model consisting of an ip-glasma initial state, a viscous fluid dynamical …

Production of volatile fatty acids from food waste and lignocellulosic materials has potential
to avoid emissions from their production from petrochemicals and provide valuable …

Phosphorus removal is vital in wastewater treatment to reduce reliance on limited resources.
Deep reinforcement learning (DRL) can be used to optimize the processes in wastewater …

Enhancing the performance of Earth-Air Heat Exchanger (EAHE) is highly beneficial for the
achievement of sustainable development goals. However, improving EAHE's performance …

Abstract 3D woven composite materials are prime candidates for thermal protection due to
their significant thermophysical properties, which necessitates accurate prediction of these …