Category: 7. Maths

Data sources and preprocessing

The data used in this study is sourced from publicly available information channels such as the Guotai’an database, Giant Tide Information Network, and company annual reports, covering quarterly financial and…

Overview of the SleepNet model

The SleepNet model presents an innovative method for detecting sleep apnea by utilizing various physiological signals to improve diagnostic precision. At the heart of its design is a hybrid framework that merges a…

We used the pre-trained xECGArch¹⁵ to classify 1521 unseen ECGs into AF and n-AF. Subsequently model explanations were extracted in terms of each sample’s relevance for classification using DTD for both, the long-term and the short-term…

In the following section, we outline a proposed architecture for the rail track sensory system, aligning with the framework outlined in²⁶ and²⁷. Figure 2 depicts the simplified representation of the proposed model. We strategically deploy sensors…

Figure 1 demonstrates the ConvMHANet model architecture for HaiNan dialect to Mandarin. First, a corpus for model training is created by collecting and labeling dialectal speech data from different regions of HaiNan (e.g., WenChang, WanNing,…