Systematic review of class imbalance problems in manufacturing

A de Giorgio, G Cola, L Wang - Journal of Manufacturing Systems, 2023 - Elsevier
Class imbalance (CI) is a well-known problem in data science. Nowadays, it is affecting the
data modeling of many of the real-world processes that are being digitized. The …

Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application

W Guo, Y Wang, X Chen, P Jiang - Journal of intelligent manufacturing, 2024 - Springer
Abstract Machine learning with considering data privacy-preservation and personalized
models has received attentions, especially in the manufacturing field. The data often exist in …

Survey on smart homes: Vulnerabilities, risks, and countermeasures

B Hammi, S Zeadally, R Khatoun, J Nebhen - Computers & Security, 2022 - Elsevier
Over the last few years, the explosive growth of Internet of Things (IoT) has revolutionized
the way we live and interact with each other as well as with various types of systems and …

A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction

H Yu, H Sun, J Tao, C Qin, D Xiao, Y Jin… - Automation in Construction, 2023 - Elsevier
Building a high-accuracy utilization factor prediction model for tunnel boring machine with
limited available data is a research challenge. To solve the problem mentioned above, a …

Memristor-based hyperchaotic maps and application in auxiliary classifier generative adversarial nets

H Bao, Z Hua, H Li, M Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the nonlinearity and plasticity, memristors are widely used as nonlinear devices for
chaotic oscillations or as biological synapses for neuromorphic computations. But discrete …

A genetic algorithm optimized RNN-LSTM model for remaining useful life prediction of turbofan engine

KT Chui, BB Gupta, P Vasant - Electronics, 2021 - mdpi.com
Understanding the remaining useful life (RUL) of equipment is crucial for optimal predictive
maintenance (PdM). This addresses the issues of equipment downtime and unnecessary …

Scene graph to image synthesis via knowledge consensus

Y Wu, P Wei, L Lin - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
In this paper, we study graph-to-image generation conditioned exclusively on scene graphs,
in which we seek to disentangle the veiled semantics between knowledge graphs and …

Digital-Twin-Enabled IoMT system for surgical simulation using rAC-GAN

Y Tai, L Zhang, Q Li, C Zhu, V Chang… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
A digital-twin (DT)-enabled Internet of Medical Things (IoMT) system for telemedical
simulation is developed, systematically integrated with mixed reality (MR), 5G cloud …

A comprehensive review of polyphonic sound event detection

TK Chan, CS Chin - IEEE Access, 2020 - ieeexplore.ieee.org
One of the most amazing functions of the human auditory system is the ability to detect all
kinds of sound events in the environment. With the technologies and hardware advances …

Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology

H Li, L Zhang, H Sun, Z Rao, H Ji - … Acta Part A: Molecular and Biomolecular …, 2022 - Elsevier
The quality of wheat kernels is critical to ensure crop yields. However, in actual breeding
work, unsound kernels are scarce compared to healthy kernels. Limited data sets or …