TESS serves as a formidable tool for investigating stellar variability. Nonetheless, the adaptation of methodologies employed in other space missions, such as Kepler, to deduce long stellar rotation periods or solar-like stellar pulsations has been a challenge. The advent of multiple sectors of data for most stars every two years with the extended

Low and intermediate-mass stars evolve through the Post Asymptotic Giant Branch (post-AGB) phase before they reach the Planetary Nebulae stage. After leaving the Main Sequence, they undergo intense episodes of mass loss when in the Giant Branch and, then, they enter the post-AGB stage which is a rather puzzling stellar evolutionary phase . Also, it

Big datasets are becoming increasingly important in astrophysics due to new surveys continuously observing our night sky. A prominent example of an observatory that will produce a large data stream is Vera C. Rubin LSST, designed to simultaneously monitor the southern night sky in six colors. Unsupervised machine learning (ML), a method of learning