  Precise physical properties of the known transiting exoplanets are essential
for their precise atmospheric characterization using modern and upcoming
instruments. Leveraging the large volume of high SNR photometric follow-up data
from TESS, highly precise physical properties can be estimated for these
systems, especially for those discovered using ground-based instruments prior
to the TESS mission. In this work, I have used the publicly available TESS
follow-up data for 28 transiting systems with 10 $<$ V$_{mag}$ $<$ 10.5, with
an aim to update their known physical properties. The observed lightcurves have
been analysed by implementing a state-of-the-art critical noise treatment
algorithm to effectively reduce both time-correlated and un-correlated noise
components, using sophisticated techniques like wavelet denoising and
Gaussian-process regression. Compared with the previous studies, the estimated
transit parameters are found to be more precise for most of the targets,
including a few cases where a larger space-based instrument like Spitzer,
Kepler or CHEOPS has been used in the previous study. The large volume of
transit observations used for each target has also resulted in a more accurate
estimation of the physical properties, as this overcomes any error in parameter
estimations from bias present in a smaller volume of data. Thus, comparing with
the literature values, statistically significant improvements in the known
physical properties of several targeted systems have been reported from this
work. The large volume of transit timing information from the analyses was also
used to search for Transit Timing Variation trends in these targets, which has
resulted in no significant detection.
