BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Garrick Muncie  to present Master's Research
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260907T144907Z
UID:tag:localist.com\,2008:EventInstance_45684089671414
DTSTART:20240304T154000Z
DTEND:20240304T164000Z
DESCRIPTION:The UTC Graduate School is pleased to announce that Garrick Mun
 cie will present Master's research titled\, SOLAR PANEL DAMAGE IDENTIFICAT
 ION USING TENSORFLOW LITE on 03/04/2024 at 10:40 in ECS 426 Maytag room. E
 veryone is invited to attend. \n\nEngineering\n\nChair: Abdul Ofoli\n\nCo-
 Chair: \n\nAbstract:\n\nThe number of utility-scale photovoltaic (PV) inst
 allations are on the rise. Which saw a 50% rise compared to the first eigh
 t months of 2022. (Lawrence Berkeley National Laboratory et al.) With larg
 er scale installations quicker ways of identifying and locating damaged PV
  arrays is need. Our solution is to use drones to capture aerial photos an
 d use TensorFlow-Lite and Keras Deep-Learning methods to determine if a Pa
 nel has issues. The prepossessed model shows high performance (Accuracy sc
 ore of 92.89% and a F1 Score of 92.92%) with an execution time of 0.303 se
 conds per picture.
GEO:39.104318;-84.513955
LOCATION:Engineering & Computer Science Building\, 426
SUMMARY:Garrick Muncie  to present Master's Research
URL;VALUE=URI:https://calendar.utc.edu/event/garrick_muncie_to_present_mast
 ers_research
CATEGORIES:Lectures & Presentations
END:VEVENT
END:VCALENDAR