|
|
|
|
|
Todd Kelmar, Maria Chierichetti and Fatemeh Davoudi Kakhki
This study introduces an innovative approach for optimizing sensor placement in modal testing by applying machine learning with enhanced efficiency and precision.
|
|
|
|
|
|
|
|
|
Sideris Kiratsoudis and Vassilis Tsiantos
Personnel selection stands as a pivotal component within the domain of human resource management, intrinsically tethered to the quality of the workforce at large. In this research endeavor, we introduce the Entropy Synergy Analysis of Multi-Attribute Dec...
ver más
|
|
|
|
|
|
|
|
|
Tianyi Yang, Marcus White, Ruby Lipson-Smith, Michelle M. Shannon and Mehrnoush Latifi
Changing the physical environment of healthcare facilities can positively impact patient outcomes. Virtual reality (VR) offers the potential to understand how healthcare environment design impacts users? perception, particularly among those with brain in...
ver más
|
|
|
|
|
|
|
|
|
Yushan Li and Satoshi Fujita
This paper proposes a novel event-driven architecture for enhancing edge-based vehicular systems within smart transportation. Leveraging the inherent real-time, scalable, and fault-tolerant nature of the Elixir language, we present an innovative architec...
ver más
|
|
|
|
|
|
|
|
|
Eduard Angelats, Alban Gorreja, Pedro F. Espín-López, M. Eulàlia Parés, Eva Savina Malinverni and Roberto Pierdicca
The seamless integration of indoor and outdoor positioning has gained considerable attention due to its practical implications in various fields. This paper presents an innovative approach aimed at detecting and delineating outdoor, indoor, and transitio...
ver más
|
|
|
|