|
|
|
Miguel-Ángel Rangel-Sánchez, José-De-Jesús Urbina-González, José-Luis Carrera-Escobedo, Omar-Alejandro Guirette-Barbosa, Virgilio-Alfonso Murillo-Rodríguez, José-María Celaya-Padilla, Héctor-Antonio Durán-Muñoz and Oscar Cruz-Domínguez
The PDCA (Plan?Do?Check?Act) cycle, coupled with supplementary quality tools like 5W + 2H (Who, What, When, Where, Why, How, How much), three-legged five-why analysis, control charts, and capability analysis, serves as a potent strategy in the automotive...
ver más
|
|
|
|
|
|
Jose Luis Vieira Sobrinho, Flavio Henrique Teles Vieira and Alisson Assis Cardoso
The high dimensionality of real-life datasets is one of the biggest challenges in the machine learning field. Due to the increased need for computational resources, the higher the dimension of the input data is, the more difficult the learning task will ...
ver más
|
|
|
|
|
|
Riccardo Camilli, Alessandro Mechelli, Alessandra Stefanoni and Fabrizio Rossi
To date, the studies on managerial loss aversion have produced contradictory findings, making it impossible to: (i) identify the ultimate impact of managerial loss aversion on the value that organisations create for themselves and for their stakeholders,...
ver más
|
|
|
|
|
|
Emin Aktan, Ivan Bartoli, Branko Gli?ic and Carlo Rainieri
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various ban...
ver más
|
|
|
|
|
|
Christian Haas, Philipp Klaus Thumser, Michael Hellmair, Tyler J. Pilger and Martin Schletterer
With the globally increasing awareness regarding the interconnectivity between freshwater ecosystems, projects for re-establishing connectivity with fishways as well as stock management are increasing. To ensure the quality and impact of such projects an...
ver más
|
|
|