Hybrid Deep Sequential Learning and IBSCA-Driven Feature Selection for Robust Classification of Imbalanced Dataset
A novel end-to-end pipeline that combines IBSA feature selection, BiGRU-LSTM-Attention hybrid modelling for complex spatiotemporal pattern capture, and adaptive thresholding for fairness optimisation is introduced, establishing new performance standards that could be applied to federated learning and high-dimensional d...