Automating lookahead planning using site appearance and space utilization

no code implementations • 30 Nov 2023 • Eyob Mengiste, Borja Garcia de Soto, Timo Hartmann

This study proposes a method to automate the development of lookahead planning.

Scheduling

Perception, performance, and detectability of conversational artificial intelligence across 32 university courses

no code implementations • 7 May 2023 • Hazem Ibrahim, Fengyuan Liu, Rohail Asim, Balaraju Battu, Sidahmed Benabderrahmane, Bashar Alhafni, Wifag Adnan, Tuka Alhanai, Bedoor AlShebli, Riyadh Baghdadi, Jocelyn J. Bélanger, Elena Beretta, Kemal Celik, Moumena Chaqfeh, Mohammed F. Daqaq, Zaynab El Bernoussi, Daryl Fougnie, Borja Garcia de Soto, Alberto Gandolfi, Andras Gyorgy, Nizar Habash, J. Andrew Harris, Aaron Kaufman, Lefteris Kirousis, Korhan Kocak, Kangsan Lee, Seungah S. Lee, Samreen Malik, Michail Maniatakos, David Melcher, Azzam Mourad, Minsu Park, Mahmoud Rasras, Alicja Reuben, Dania Zantout, Nancy W. Gleason, Kinga Makovi, Talal Rahwan, Yasir Zaki

Moreover, current AI-text classifiers cannot reliably detect ChatGPT's use in school work, due to their propensity to classify human-written answers as AI-generated, as well as the ease with which AI-generated text can be edited to evade detection.

Developing a Free and Open-source Automated Building Exterior Crack Inspection Software for Construction and Facility Managers

2 code implementations • 20 Jun 2022 • Pi Ko, Samuel A. Prieto, Borja Garcia de Soto

From the raw output of the algorithm, the median Intersection over Unions for the test experiments is (1) 0. 686 for indoor crack detection experiment in a controlled lab environment using a commercial drone, (2) 0. 186 for indoor crack detection at a construction site using a smartphone and (3) 0. 958 for outdoor crack detection on university campus using a commercial drone.