In recent years, excessive emissions of carbon dioxide have further intensified global
warming, which poses a great threat to human society. The best way to reverse this situation …

Histopathological image recognition of breast cancer is an onerous task. Although many
deep learning models have achieved good classification results on histopathological image …

Network intrusion detection systems (NIDS) play a crucial role in maintaining network
security. However, current NIDS techniques tend to neglect the topological structures of …

In the last decade, the risk evaluation and the investment decision are among the most
prominent issues of efficient project management. Especially, the innovative financial …

In rent years, commercial insurance selection is a hot issue in multiple attribute group
decision making (MAGDM). Spherical fuzzy sets (SFSs) can better express the vague factors …

Neutrosophic sets provide greater versatility in dealing with a variety of uncertainties,
including independent, partially independent, and entirely dependent scenarios, which q …

The current study presents a novel multi-criteria decision making (MCDM) approach to
address decision analysis with T-spherical fuzzy data, whose weights of criteria are fully …

Electrocardiogram (ECG) is an effective non-invasive tool that can detect arrhythmias.
Recently, deep learning (DL) has been widely used in ECG classification algorithms …

The concept of q-rung orthopair fuzzy sets (q-ROFSs) severs as an extended form of
orthopair fuzzy sets, which excels in flexibly depicting imprecise information existed in …

In allusion to heterogeneous multi-criteria group decision making (MCGDM) problems with
incomplete weights and q-rung orthopair fuzzy (q-ROF) truth degrees, where many kinds of …