Results 321 to 330 of about 16,670,755 (397)
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Dynamic Stability of Copper Single-Atom Catalysts under Working Conditions.
Journal of the American Chemical Society, 2022The long-term stability of single-atom catalysts is a major factor affecting their large-scale commercial application. How to evaluate the dynamic stability of single-atom catalysts under working conditions is still lacking.
Xiaowan Bai +6 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2021
The data-driven methods in machinery fault diagnosis have become increasingly popular in the past two decades. However, the wide applications of this scheme are generally compromised in real-world conditions because of the discrepancy between the ...
Te Han, Yan-Fu Li, Min Qian
semanticscholar +1 more source
The data-driven methods in machinery fault diagnosis have become increasingly popular in the past two decades. However, the wide applications of this scheme are generally compromised in real-world conditions because of the discrepancy between the ...
Te Han, Yan-Fu Li, Min Qian
semanticscholar +1 more source
Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions
IEEE Transactions on Instrumentation and Measurement, 2021Unsupervised domain adaptation (UDA)-based methods have made great progress in mechanical fault diagnosis under variable working conditions. In UDA, three types of information, including class label, domain label, and data structure, are essential to ...
Tianfu Li +4 more
semanticscholar +1 more source
Proceedings of the 2021 AERA Annual Meeting, 2021
COVID-19 shuttered schools across the United States, upending traditional approaches to education. We examine teachers’ experiences during emergency remote teaching in the spring of 2020 using responses to a working conditions survey from a sample of 7 ...
M. Kraft, Nicole Simon, M. Lyon
semanticscholar +1 more source
COVID-19 shuttered schools across the United States, upending traditional approaches to education. We examine teachers’ experiences during emergency remote teaching in the spring of 2020 using responses to a working conditions survey from a sample of 7 ...
M. Kraft, Nicole Simon, M. Lyon
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2022
Deep learning, with its ability of feature mining and logical judgement, has been widely studied in industrial intelligent diagnosis, including bearing fault diagnosis. However, an explicable and representable expression of deep learning architecture for
Yinjun Wang +3 more
semanticscholar +1 more source
Deep learning, with its ability of feature mining and logical judgement, has been widely studied in industrial intelligent diagnosis, including bearing fault diagnosis. However, an explicable and representable expression of deep learning architecture for
Yinjun Wang +3 more
semanticscholar +1 more source
New technology, work and employment, 2021
In the course of digitisation, work away from the principal office using information and communications technology (telework, telecommuting, and mobile work) has established itself in various segments of the labour market.
A. Wöhrmann, Christian Ebner
semanticscholar +1 more source
In the course of digitisation, work away from the principal office using information and communications technology (telework, telecommuting, and mobile work) has established itself in various segments of the labour market.
A. Wöhrmann, Christian Ebner
semanticscholar +1 more source
IEEE transactions on industrial electronics (1982. Print), 2021
As a deep learning model, a deep belief network (DBN) consists of multiple restricted Boltzmann machines (RBMs). Based on DBN, many intelligent fault diagnosis methods are proposed.
Saibo Xing +3 more
semanticscholar +1 more source
As a deep learning model, a deep belief network (DBN) consists of multiple restricted Boltzmann machines (RBMs). Based on DBN, many intelligent fault diagnosis methods are proposed.
Saibo Xing +3 more
semanticscholar +1 more source
Journal of Research on Educational Effectiveness, 2021
COVID-19 shuttered schools across the United States, upending traditional approaches to education. We examine teachers’ experiences during emergency remote teaching in the spring of 2020 using responses to a working conditions survey from a sample of 7 ...
M. Kraft, Nicole Simon, M. Lyon
semanticscholar +1 more source
COVID-19 shuttered schools across the United States, upending traditional approaches to education. We examine teachers’ experiences during emergency remote teaching in the spring of 2020 using responses to a working conditions survey from a sample of 7 ...
M. Kraft, Nicole Simon, M. Lyon
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement, 2021
This article presents a new deep transfer learning method, named structured domain adversarial neural network (SDANN), for bearing fault diagnosis with the data collected under different working conditions.
Wentao Mao +4 more
semanticscholar +1 more source
This article presents a new deep transfer learning method, named structured domain adversarial neural network (SDANN), for bearing fault diagnosis with the data collected under different working conditions.
Wentao Mao +4 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
Accurate and real-time fault diagnosis (FD) and working conditions identification (WCI) are the key to ensuring the safe operation of mechanical systems.
Huan Wang +4 more
semanticscholar +1 more source
Accurate and real-time fault diagnosis (FD) and working conditions identification (WCI) are the key to ensuring the safe operation of mechanical systems.
Huan Wang +4 more
semanticscholar +1 more source