|
|
|
|
|
Hamed Raoofi, Asa Sabahnia, Daniel Barbeau and Ali Motamedi
Traditional methods of supervision in the construction industry are time-consuming and costly, requiring significant investments in skilled labor. However, with advancements in artificial intelligence, computer vision, and deep learning, these methods ca...
ver más
|
|
|
|
|
|
|
|
|
Thinh Huynh and Young-Bok Kim
This study investigates the automated transportation control problem of an offshore floating platform that has limited or no maneuverability. The proposed solution involves two tugboats pushing into the platform and two other tugs towing it in the opposi...
ver más
|
|
|
|
|
|
|
|
|
Giovanni Totaro, Felice De Nicola, Paola Spena, Giovangiuseppe Giusto, Monica Ciminello, Ilan Weissberg, Yehonatan Carmi, Daniel Arviv and Nir Lalazar
This article discloses the activity developed in the framework of the research project ?GRID? aiming at the feasibility demonstration of a fiber optic sensing system (FOS), based on fiber Bragg gratings (FGB), embedded in the ribs of a conical grid struc...
ver más
|
|
|
|
|
|
|
|
|
Soe Thandar Aung, Nobuo Funabiki, Lynn Htet Aung, Safira Adine Kinari, Mustika Mentari and Khaing Hsu Wai
The Flutter framework with Dart programming allows developers to effortlessly build applications for both web and mobile from a single codebase. It enables efficient conversions to native codes for mobile apps and optimized JavaScript for web browsers. S...
ver más
|
|
|
|
|
|
|
|
|
Samuel de Oliveira, Oguzhan Topsakal and Onur Toker
Automated Machine Learning (AutoML) is a subdomain of machine learning that seeks to expand the usability of traditional machine learning methods to non-expert users by automating various tasks which normally require manual configuration. Prior benchmark...
ver más
|
|
|
|