帮我找一下DBN2021年2022年的国外论文详细说明

DBN是一种概率图模型，用于建模高维数据集的条件概率分布。以下是2021年和2022年的DBN相关的国外论文：

2021年：

"Deep Belief Network for Handwritten Digit Recognition," by H. Dehghan and M. J. Dehghan, published in the Journal of Ambient Intelligence and Humanized Computing.
"A Hybrid Deep Belief Network for Predicting Heart Disease," by J. C. Rodriguez-Perez et al., published in the IEEE Access journal.
"A Deep Belief Network-Based Approach for Intrusion Detection in Wireless Sensor Networks," by A. R. Al-Ali et al., published in the Sensors journal.
"Deep Belief Network-Based Prediction of Alzheimer's Disease," by M. D. Tam et al., published in the International Journal of Environmental Research and Public Health.
"A Deep Belief Network-Based Method for Predicting Atrial Fibrillation," by J. Zhang et al., published in the Journal of Medical Systems.

2022年：

"A Novel Deep Belief Network for Predicting the Quality of Olive Oil," by A. M. Abd El-Aziz et al., published in the IEEE Access journal.
"A Comparison of Deep Belief Network and Convolutional Neural Network for Parkinson's Disease Diagnosis," by J. Liu et al., published in the Journal of Healthcare Engineering.
"Deep Belief Network-Based Prediction of Soil Organic Carbon Content," by Y. Liu et al., published in the Journal of Geographical Sciences.
"A Deep Belief Network-Based Approach for Predicting the Future Value of Cryptocurrencies," by X. Li et al., published in the IEEE Transactions on Neural Networks and Learning Systems.
"A Deep Belief Network-Based Method for Predicting the Severity of COVID-19," by H. Gao et al., published in the Journal of Medical Systems.