Deep learning for lungs cancer detection: a review

R Javed, T Abbas, AH Khan, A Daud, A Bukhari… - Artificial Intelligence …, 2024 - Springer
Although lung cancer has been recognized to be the deadliest type of cancer, a good
prognosis and efficient treatment depend on early detection. Medical practitioners' burden is …

Anomaly-based threat detection in smart health using machine learning

M Tabassum, S Mahmood, A Bukhari… - BMC Medical Informatics …, 2024 - Springer
Background Anomaly detection is crucial in healthcare data due to challenges associated
with the integration of smart technologies and healthcare. Anomaly in electronic health …

Self-supervised multi-hop heterogeneous hypergraph embedding with informative pooling for graph-level classification

MK Hayat, S Xue, J Yang - Knowledge and Information Systems, 2024 - Springer
In heterogeneous graph analysis, existing self-supervised learning (SSL) methods face
several key challenges. Primarily, these approaches are tailored for node-level tasks and fail …

[PDF][PDF] 基于作者-关键词关联的h 型测度研究

李盛庆, 徐浩 - 情报探索, 2023 - researchgate.net
[目的/意义] 利用h 型测度探索作者在核心主题领域的学术影响力.[方法/过程]
聚焦学术主体(作者)-信息实体(关键词) 二维关系, 沿着当前h 型测度的两个发展方向, 探索作者 …