Comparison with state-of-the-art methods.

NIAID Data Ecosystem2026-03-12 收录

下载链接：

https://figshare.com/articles/dataset/Comparison_with_state-of-the-art_methods_/14698674

下载链接

链接失效反馈

官方服务：

资源简介：

Comparison with state-of-the-art methods.

创建时间：

2021-05-28

Comparison with state-of-the-art methods.

Mobile payment systems have experienced rapid growth, but accurate forecasting remains challenging due to market dynamics and complex adoption factors. This paper proposes a Hybrid ARIMA-LSTM-Transfor

NIAID Data Ecosystem00

Comparison with state-of-the-art methods.

Deep learning models for diagnostic applications require large amounts of sensitive patient data, raising privacy concerns under centralized training paradigms. We propose FedGAN, a federated learning

NIAID Data Ecosystem00

Comparison with state-of-the-art methods.

Alzheimer’s disease (AD) is a brain illness that causes gradual memory loss. AD has no treatment and cannot be cured, so early detection is critical. Various AD diagnosis approaches are used in this r

NIAID Data Ecosystem10

Comparison with state-of-the-art methods.

Figshare2021-05-28 更新00

Comparison with state-of-the-art methods.

Figshare2025-08-21 更新10