A digital twin-based framework for damage detection of a floating wind turbine structure under various loading conditions based on deep learning approach
Engineering has many necessary fields, and Structural Health Monitoring (SHM) is one of
the most important of them. Sometimes in industrial environments, it is difficult and even …
the most important of them. Sometimes in industrial environments, it is difficult and even …
Metaheuristic-driven extended exergy accounting for sustainable closed-loop food supply chain management
In this research, an exergetic mathematical model is proposed for closed-loop food supply
chain network design considering economic, environmental, and social aspects. The …
chain network design considering economic, environmental, and social aspects. The …
Combustion condition predictions for C2-C4 alkane and alkene fuels via machine learning methods
The accurate and rapid prediction of hydrocarbon type was a precondition for the utilization
of fossil fuels with high efficiency and safety. In this study, machine learning based …
of fossil fuels with high efficiency and safety. In this study, machine learning based …
Exploring neural motion transfer for unsupervised remote physiological measurement: A practicality study
T Liu, H Xiao, Y Sun, A Zhao, K Zuo, H Wen, H Li… - Digital Signal …, 2024 - Elsevier
Remote Photoplethysmography (rPPG) is a method to measure cardiac activity without the
need for any contact-based sensors, garnering attention due to its non-invasive and …
need for any contact-based sensors, garnering attention due to its non-invasive and …
An Embarrassingly Simple Method to Compromise Language Models
J Wang - 2024 - preprints.org
Abstract Language models like BERT dominate current NLP research due to their robust
performance, but they are vulnerable to backdoor attacks. Such attacks cause the model to …
performance, but they are vulnerable to backdoor attacks. Such attacks cause the model to …
Machine Learning Methods for Handwriting Recognition
Y Peng - 2023 - preprints.org
Abstract Machine learning is a fundamental aspect of artificial intelligence that involves the
development of algorithms and models that allow computers to learn and make predictions …
development of algorithms and models that allow computers to learn and make predictions …