  We highlight the capacity of current and forthcoming air shower arrays using
water-Cherenkov stations to detect neutrino events spanning energies from
$10\,$GeV to $100\,$TeV. This detection approach leverages individual stations
equipped with both bottom and top photosensors, making use of features of the
signal time trace and machine learning techniques. Our findings demonstrate the
complementary of this method to established and future neutrino-detection
experiments, including IceCube and the upcoming Hyper-Kamiokande experiment.
