Natural behavior is the language of the brain

CT Miller, D Gire, K Hoke, AC Huk, D Kelley… - Current Biology, 2022 - cell.com
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 …

[HTML][HTML] Improving aircraft performance using machine learning: A review

S Le Clainche, E Ferrer, S Gibson, E Cross… - Aerospace Science and …, 2023 - Elsevier
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

[HTML][HTML] A survey of sound source localization with deep learning methods

PA Grumiaux, S Kitić, L Girin, A Guérin - The Journal of the Acoustical …, 2022 - pubs.aip.org
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 …

Deep networks for direction-of-arrival estimation in low SNR

GK Papageorgiou, M Sellathurai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal

S Tang, Y Zhu, S Yuan - Engineering Failure Analysis, 2022 - Elsevier
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 …

Machine learning and deep learning in phononic crystals and metamaterials–A review

J Kennedy, CW Lim - Materials Today Communications, 2022 - Elsevier
Abstract Machine learning (ML), as a component of artificial intelligence, encourages
structural design exploration which leads to new technological advancements. By …

A review of machine learning methods applied to structural dynamics and vibroacoustic

BZ Cunha, C Droz, AM Zine, S Foulard… - Mechanical Systems and …, 2023 - Elsevier
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

Towards controlled drug delivery in brain tumors with microbubble-enhanced focused ultrasound

S Schoen Jr, MS Kilinc, H Lee, Y Guo… - Advanced drug delivery …, 2022 - Elsevier
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 …

[HTML][HTML] Generative adversarial networks for the design of acoustic metamaterials

C Gurbuz, F Kronowetter, C Dietz, M Eser… - The Journal of the …, 2021 - pubs.aip.org
Metamaterials are attracting increasing interest in the field of acoustics due to their sound
insulation effects. By periodically arranged structures, acoustic metamaterials can influence …

Applying machine learning approach in recycling

M Erkinay Ozdemir, Z Ali, B Subeshan… - Journal of Material …, 2021 - Springer
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 …