Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data

B Chen, X Zeng, J Zhou, W Zhang, S Cao… - Expert Systems with …, 2023 - Elsevier
Reservoir identification is important for reservoir evaluation and petroleum development.
Existing methods cannot automatically identify the categories of the reservoir that exhibit:(a) …

An innovative Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning algorithm for tool wear monitoring

Z Gao, N Chen, Y Yang, L Li - Journal of Manufacturing Processes, 2024 - Elsevier
Accurately monitoring tool wear during the cutting process is crucial for ensuring the
precision manufacturing of components and enhancing machining efficiency. However …

Leakage diagnosis of district heating-network based on system simulation and PCA_BP neural network

C Liu, S Zhou, Y Zhang, C Zhang, X Liu - Process Safety and …, 2023 - Elsevier
To increase leakage diagnosis (LD) efficiency of heating-networks and overcome the lack of
actual leakage data, a LD method is proposed based on system simulation and principal …

A multi-classification detection model for imbalanced data in NIDS based on reconstruction and feature matching

Y Yang, J Cheng, Z Liu, H Li, G Xu - Journal of Cloud Computing, 2024 - Springer
With the exponential growth of various data interactions on network systems, network
intrusions are also increasing. The emergence of edge computing technology brings a new …

SODA: Stream Out-of-Distribution Adaptation

A Geng, K Lee, Y Li - openreview.net
In open-context environments, machine learning models require out-of-distribution (OOD)
awareness to ensure safe operation. However, existing OOD detection approaches have …