A systematic guide for predicting remaining useful life with machine learning
Prognosis and health management (PHM) are mandatory tasks for real-time monitoring of
damage propagation and aging of operating systems during working conditions. More …
damage propagation and aging of operating systems during working conditions. More …
[HTML][HTML] A survey on GANs for computer vision: Recent research, analysis and taxonomy
In the last few years, there have been several revolutions in the field of deep learning,
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …
mainly headlined by the large impact of Generative Adversarial Networks (GANs). GANs not …
Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection
H Ding, L Chen, L Dong, Z Fu, X Cui - Future Generation Computer Systems, 2022 - Elsevier
With the continuous emergence of various network attacks, it is becoming more and more
important to ensure the security of the network. Intrusion detection, as one of the important …
important to ensure the security of the network. Intrusion detection, as one of the important …
Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images
The current pandemic, caused by the outbreak of a novel coronavirus (COVID-19) in
December 2019, has led to a global emergency that has significantly impacted economies …
December 2019, has led to a global emergency that has significantly impacted economies …
A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network
K Hu, C Weng, C Shen, T Wang, L Weng… - Engineering Applications of …, 2023 - Elsevier
Existing underwater image enhancement algorithms rely on paired datasets, which enhance
underwater images by learning the map** relationship between low-quality and high …
underwater images by learning the map** relationship between low-quality and high …
Integrated generative model for industrial anomaly detection via bidirectional LSTM and attention mechanism
For emerging industrial Internet of Things (IIoT), intelligent anomaly detection is a key step to
build smart industry. Especially, explosive time-series data pose enormous challenges to the …
build smart industry. Especially, explosive time-series data pose enormous challenges to the …
A review on blockchain smart contracts in the agri-food industry: Current state, application challenges and future trends
With the continuous development of the new crown epidemic and the outbreak of the
Russian-Ukrainian war, the world is facing a serious food crisis, especially the agri-food …
Russian-Ukrainian war, the world is facing a serious food crisis, especially the agri-food …
EID-GAN: Generative adversarial nets for extremely imbalanced data augmentation
Imbalanced data cause deep neural networks to output biased results, and it becomes more
serious when facing extremely imbalanced data regarding the outliers with tiny size (the …
serious when facing extremely imbalanced data regarding the outliers with tiny size (the …
Ifl-gan: Improved federated learning generative adversarial network with maximum mean discrepancy model aggregation
The generative adversarial network (GAN) is usually built from the centralized, independent
identically distributed (iid) training data to generate realistic-like instances. In real-world …
identically distributed (iid) training data to generate realistic-like instances. In real-world …
Underwater light field retention: Neural rendering for underwater imaging
Abstract Underwater Image Rendering aims to generate a true-to-life underwater image from
a given clean one, which could be applied to various practical applications such as …
a given clean one, which could be applied to various practical applications such as …