Results 291 to 300 of about 398,042 (310)

A Review of Deep Transfer Learning and Recent Advancements

Technologies, 2023
Mohammadreza Iman, Hamid R Arabnia
exaly  

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Mechanical Systems and Signal Processing, 2022
Weihua Li, Ruyi Huang, Jipu Li
exaly  

A review on transfer learning in EEG signal analysis

Neurocomputing, 2021
Zitong Wan, Rui Yang, Mengjie Huang
exaly  

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

IEEE Transactions on Instrumentation and Measurement, 2023
Xiaohan Chen, Rui Yang, Yihao Xue
exaly  

Transfer learning improves landslide susceptibility assessment

Gondwana Research, 2023
Haojie Wang, Limin Zhang
exaly  

Transfer defect learning

2013 35th International Conference on Software Engineering (ICSE), 2013
Jaechang Nam, Sinno Jialin Pan, Sunghun Kim 0001   +2 more
openaire   +1 more source

Trustworthy Transfer Learning: Transferability and Trustworthiness

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Jun Wu 0019, Jingrui He
openaire   +1 more source

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

Applied Energy, 2020
Sheng Shen, Mohammadkazem Sadoughi, Zhengdao Wang   +2 more
exaly  

A Decade Survey of Transfer Learning (2010–2020)

IEEE Transactions on Artificial Intelligence, 2020
Shuteng Niu, Yongxin Liu, Jian Wang
exaly  

Fuzzy transfer learning.

2013
The use of machine learning to predict output from data, using a model, is a well studied area. There are, however, a number of real-world applications that require a model to be produced but have little or no data available of the specific environment. These situations are prominent in Intelligent Environments (IEs).
openaire   +1 more source