Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...

His technical work involves statistical computing, signal analysis, and machine learning using R, Python, and MATLAB. In addition to contributing to peer-reviewed venues and participating in academic ...