  The search for extraterrestrial intelligence is currently being pursued using
multiple techniques and in different wavelength bands. Dyson spheres,
megastructures that could be constructed by advanced civilizations to harness
the radiation energy of their host stars, represent a potential
technosignature, that in principle may be hiding in public data already
collected as part of large astronomical surveys. In this study, we present a
comprehensive search for partial Dyson spheres by analyzing optical and
infrared observations from Gaia, 2MASS, and WISE. We develop a pipeline that
employs multiple filters to identify potential candidates and reject
interlopers in a sample of five million objects, which incorporates a
convolutional neural network to help identify confusion in WISE data. Finally,
the pipeline identifies 7 candidates deserving of further analysis. All of
these objects are M-dwarfs, for which astrophysical phenomena cannot easily
account for the observed infrared excess emission.
