Abstract: Data augmentation is a common practice to help generalization in the procedure of deep model training. In the context of physiological time series classification, previous research has ...
Bengaluru's draft reservation roster for civic polls faces potential legal challenges from OBC groups, risking further ...
Central transfers have become a subject of intense debate. Key concerns include the erosion of the fiscal autonomy of States ...
This study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member ...
Paradigm Shift from "Financial Compliance" to "Business Inference" In the digital landscape of 2026, budget management has ...