J Zhang, Z Yin, P Chen, S Nichele - Information Fusion, 2020 - Elsevier
In recent years, the rapid advances in machine learning (ML) and information fusion has made it possible to endow machines/computers with the ability of emotion understanding …
H Cao, H Shao, X Zhong, Q Deng, X Yang… - Journal of Manufacturing …, 2022 - Elsevier
The existing deep transfer learning-based intelligent fault diagnosis studies for machinery mainly consider steady speed scenarios, and there exists a problem of low diagnosis …
A Skrzypczak-Wiercioch, K Sałat - Molecules, 2022 - mdpi.com
Despite advances in antimicrobial and anti-inflammatory therapies, inflammation and its consequences still remain a significant problem in medicine. Acute inflammatory responses …
WM Kouw, M Loog - IEEE transactions on pattern analysis and …, 2019 - ieeexplore.ieee.org
Domain adaptation has become a prominent problem setting in machine learning and related fields. This review asks the question: How can a classifier learn from a source …
Traditionally, speech emotion recognition (SER) research has relied on manually handcrafted acoustic features using feature engineering. However, the design of …
S Albanie, A Nagrani, A Vedaldi… - Proceedings of the 26th …, 2018 - dl.acm.org
Obtaining large, human labelled speech datasets to train models for emotion recognition is a notoriously challenging task, hindered by annotation cost and label ambiguity. In this work …
In this paper, we propose a novel approach based on deep learning for active classification of electrocardiogram (ECG) signals. To this end, we learn a suitable feature representation …
L Ren, Y Sun, J Cui, L Zhang - Journal of Manufacturing Systems, 2018 - Elsevier
Bearings play a crucial part in reliable operation of rotating machinery in manufacturing systems. There is a growing demand for smart prognostics of bearing remaining useful life …
H Yalcin, S Razavi - 2016 Fifth International Conference on …, 2016 - ieeexplore.ieee.org
Application of the benefits of modern computing technology to improve the efficiency of agricultural fields is inevitable with growing concerns about increasing world population and …