The breadth and complexity of natural behaviors inspires awe. Understanding how our
perceptions, actions, and internal thoughts arise from evolved circuits in the brain has …

This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

In this work, we consider direction-of-arrival (DoA) estimation in the presence of extreme
noise using Deep Learning (DL). In particular, we introduce a Convolutional Neural Network …

Hydraulic pump is a critical component of a hydraulic transmission system. Its normal and
stable operation will directly affect the reliability of the whole system. Owing to the complexity …

Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

Brain tumors are particularly challenging malignancies, due to their location in a structurally
and functionally distinct part of the human body–the central nervous system (CNS). The CNS …

Metamaterials are attracting increasing interest in the field of acoustics due to their sound
insulation effects. By periodically arranged structures, acoustic metamaterials can influence …

Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …