Airfoil self-noise prediction using deep neural networks

S Redonnet, T Bose, A Seth, LKB Li - Engineering Analysis with Boundary …, 2024 - Elsevier
This study explores the prediction of airfoil self-noise through Deep Learning whilst focusing
more specifically on the so-called turbulent boundary layer trailing edge (TBL-TE) noise. To …

Identifying pharmaceutical technology opportunities from the perspective of adverse drug reactions: Machine learning in multilayer networks

W Zhao, L Feng, Y Feng, J Wang, KY Lin… - … Forecasting and Social …, 2024 - Elsevier
Identifying pharmaceutical technology opportunities can help guide drug innovation
effectively and reduce the failure rate of pharmaceutical research and development (R&D) …

Data-Driven Design in the Design Process: A Systematic Literature Review on Challenges and Opportunities

JC Quiñones-Gómez, E Mor… - International Journal of …, 2024 - Taylor & Francis
This systematic review critically evaluates the nexus between data-driven design (DDD) and
design processes (DP), guided by PRISMA standards. It synthesises findings from 84 …

Game analysis of product specifications for design optimisation using big sales data

J Zhang, J Gao, A Simeone, P Gu - Journal of Engineering Design, 2023 - Taylor & Francis
Product specifications that precisely describe customers' preference for product comparison
and purchase decision-making are critical to product competitiveness. Competitive …

Kansei engineering for the intelligent connected vehicle functions: An online and offline data mining approach

X Lai, S Lin, J Zou, M Li, J Huang, Z Liu, D Li… - Advanced Engineering …, 2024 - Elsevier
The big data era enables automakers to mine users' affective (Kansei) requirements for the
car design. However, existing literature mostly applies text mining with users' online …

Development of a technology tree using patent information

S Ryu, S Lee - Advanced Engineering Informatics, 2024 - Elsevier
A technology tree is used to represent technological attributes, such as the function,
purpose, and components of a technology, and has been regarded as a valuable tool for …

Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach

G Szabó, P Bonaiuti, A Ciliberto, A Horváth - arXiv preprint arXiv …, 2023 - arxiv.org
The accurate tracking of live cells using video microscopy recordings remains a challenging
task for popular state-of-the-art image processing based object tracking methods. In recent …

Using data to develop cost-effective battery-swap networks for electric vehicles

L Zhang, P Xia, L Peng, C Yang, J Li… - Proceedings of the …, 2023 - icevirtuallibrary.com
Electric vehicle (EV) development faces the challenges of range anxiety and the high
construction and operating costs of charging and battery-swap infrastructure. To address …

Quantitatively Verifying the Requirements in an Effective Tool to Support the Cybersecurity Risk Management Process in the Maritime Transportation Ecosystem

MA McKenzie - 2023 - search.proquest.com
Commercial maritime transportation is a critical infrastructure for nation-states and the global
economy. Currently, the industry transports 80-90% of all international trade. While the …

O estado da arte do processamento de linguagem natural em histórias de usuário

WJM Fernandes - 2023 - repositorio.pucgoias.edu.br
Introdução............................................................................................................. 2. Protocolo de
Revisão Sistemática de Literatura................................................. 2.1. Questões de …