Results 251 to 260 of about 4,612,992 (387)

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Development of the Pioneer River : the hydraulic model study [PDF]

, 1976
McKay, Gordon R., University of Queensland. Dept. of Civil Engineering   +1 more
core  

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

RETRACTION: Investigation of Mechanical and Durability Properties of Concrete Mixed with Water Exposed to a Magnetic Field

Advances in Civil Engineering
Advances in Civil Engineering
doaj   +1 more source

Classification of artificial intelligence tools for civil engineering under the notion of complex fuzzy rough Frank aggregation operators. [PDF]

Sci Rep
Emam W, Ahmmad J, Mahmood T, Ur Rehman U, Yin S.   +4 more
europepmc   +1 more source

Comparing Direct Observation of Torsion with Array-Derived Rotation in Civil Engineering Structures. [PDF]

Sensors (Basel), 2020
Guéguen P, Guattari F, Aubert C, Laudat T.   +3 more
europepmc   +1 more source

Using on-line testing for civil engineering studies [PDF]

, 2014
Meldrum, Anita
core  

A Dual‐Ion Multiphysics Model for Smart and Sustainable Sensors Based on Bacterial Cellulose

Advanced Intelligent Systems, EarlyView.
Bacterial cellulose (BC), functionalized with ionic liquids (ILs) and conductive polymers, offers promise for sustainable sensor applications. To enable real‐world integration, this work presents the first dual‐carrier, multiphysics white‐box model of mechanoelectric transduction in BC–IL sensors, combining mechanical deformation and ion transport ...
Francesca Sapuppo, Giovanna Di Pasquale, Salvatore Graziani, Sara Sadat Hosseini, Luca Patané, Antonino Pollicino, Carlo Trigona, Maria Gabriella Xibilia   +7 more
wiley   +1 more source

Establishment of the Practical Education System for Civil Engineering Majors in Local Colleges and Universities under the Emerging Engineering Background

, 2018
Wenxiu Hao, Jing Yuan, Xu Xiao
openalex   +1 more source

Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research [PDF]

, 2015
Jurgita Antuchevičienė, Zdeněk Kala, Mohamed Marzouk, Egidijus Rytas Vaidogas   +3 more
openalex   +1 more source