Publications by authors named "Tariqullah Jan"
Article Synopsis
- Fractional order algorithms, like the self-adjusting dual-stage LFLMS, outperform traditional algorithms in signal processing while maintaining simplicity.
- LFLMS combines two stages: the first uses the conventional LMS approach, followed by an advanced fractional LMS that enhances precision and speeds up convergence with a slight increase in computational complexity.
- Simulation results reveal that LFLMS achieves a 59% faster convergence rate and reduces mean square error (MSE) by 49% compared to LMS, making it ideal for future wireless technologies such as IoT and 6G.
Stock market forecasting is one of the most challenging problems in today's financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) methods can improve stock market predictions to some extent.
View Article and Find Full Text PDFArticle Synopsis
- Biometrics measures unique physical and behavioral traits, like fingerprints, which are more reliable than traditional ID methods.
- Digital fingerprint images can suffer from issues like scanner noise and skin condition, affecting their quality.
- A new enhancement method combining diffusion-coherence and 2D log-Gabor filters improves fingerprint image quality by reducing noise and overcoming previous filter limitations, with results tested on the FVC database.