Author

Hasnain Iftikhar

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Open access Aug 2026

A Flexible Kernel Regression Decomposition-Based Hybrid Framework for Forecasting Foreign Exchange Rates: Uncovering Symmetric and Asymmetric Market Dynamics

Foreign exchange rate forecasting is difficult, as its time series have complex nonlinear and nonstationary dynamics. To this end, the paper proposes a hybrid forecasting framework based on kernel regression decomposition that combines nonparametric trend extraction with linear and nonlinear forecasting models. In the...

Hasnain Iftikhar, Said Farooq Shah, F. Almuhayfith et al. · Symmetry · 0 citations

Open access Sep 2026

A Robust Masked Painter Framework for Gene Selection in Binary Classification of High-Dimensional Functional Genomic Data

High-dimensional gene expression datasets in chemometric and biomedical research present significant challenges for machine learning because the number of genes greatly exceeds the number of available samples, increasing the risk of overfitting and reducing classification reliability. Existing gene selection methods ar...

Sehran Hassan, Alamgir, Hasnain Iftikhar et al. · Entropy · 0 citations

Open access 2026

A Novel Kernel Regression-Based Decomposition Hybrid Framework for Forecasting Cryptocurrency Markets

A novel hybrid linear/nonlinear forecasting model based on a kernel regression decomposition framework, which exploits nonparametric kernel smoothing methods and linear/nonlinear forecasting models to improve forecast accuracy and predictability in cryptocurrency markets.

Hasnain Iftikhar, Said Farooq Shah, Paulo Canas Rodrigues et al. · IEEE Access · 0 citations