This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...
The Internet of Things (IoT) generates vast volumes of diverse and heterogeneous data; however, ensuring its quality, integration, and interoperability remains a persistent challenge, particularly in ...
Non-target screening using chromatography coupled to high-resolution mass spectrometry is a powerful tool in environmental ...
Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
However, in terms of AI, some approaches have not been examined extensively in this field (such as explainable AI and causal AI). Moreover, it would be helpful to have a data preprocessing protocol ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...