|
|
|
|
|
Arjun Poudel, Seungwon Kim, Byoung Hooi Cho and Janghwan Kim
Composite bridges are typically exposed to temperature variations due to heat radiation, conduction, and convection. Temperature affects the modal parameters of bridges, hindering the application of damage detection methods based on the dynamic propertie...
ver más
|
|
|
|
|
|
|
|
|
Uxia Garcia-Luis, Alejandro M. Gomez-San-Juan, Fermin Navarro-Medina, Carlos Ulloa-Sande, Alfonso Yñigo-Rivera and Alba Eva Peláez-Santos
The integration of uncertainty analysis methodologies allows for improving design efficiency, particularly in the context of instruments that demand precise pointing accuracy, such as space telescopes. Focusing on the VINIS Earth observation telescope de...
ver más
|
|
|
|
|
|
|
|
|
Suryakant Tyagi and Sándor Szénási
Machine learning and speech emotion recognition are rapidly evolving fields, significantly impacting human-centered computing. Machine learning enables computers to learn from data and make predictions, while speech emotion recognition allows computers t...
ver más
|
|
|
|
|
|
|
|
|
Zhongao Yang, Xiaohua Ding, Xin Liu, Abdoul Wahab, Zhongchen Ao, Ya Tian, Van Son Bang, Zhaoxi Long, Guodong Li and Penglin Ma
The instability of geological slopes in mining environments poses a significant challenge to the safety and efficiency of operations. Waste Dump#2 at the Ziluoyi Iron Mine in China is a notable case study that highlights the challenges associated with si...
ver más
|
|
|
|
|
|
|
|
|
Mir-Amal M. Asadulagi, Ivan M. Pershin and Valentina V. Tsapleva
The article considers a mathematical model of the hydrolithospheric process taking into account the skin effect. A methodology for using the results of groundwater inflow testing to determine the parameters of approximating models that take into account ...
ver más
|
|
|
|