Results 171 to 180 of about 6,905,416 (286)

Retraction Note: Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability. [PDF]

Sci Rep
Chandra SS, Kumar R, Arjunasamy A, Galagali S, Tantri A, Naganna SR.   +5 more
europepmc   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Correction: Enhanced characterization of hydraulic conductivity via standard penetration test for sandy soils and weathered rocks. [PDF]

Sci Rep
Seo W, Yang E, Yun TS.
europepmc   +1 more source

A Breadth‐First Pruned‐Enriched Rosenbluth Method for Force–Extension Simulations of Confined Semiflexible Chains

Advanced Intelligent Discovery, EarlyView.
The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley   +1 more source

Intelligent system in the cost control of commercial complex projects: Data-driven optimization method. [PDF]

PLoS One
Wang S, Li Y, Yao D, Li X.
europepmc   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

Department of Civil and Environmental Engineering newsletter, November 20, 2024

Also called "CEE Weekly News.

core  

Correction: Doğan et al. Earthquake Early Warning System for Izmir, Western Anatolia, Türkiye Based on Multi-Station Similarity Analysis and Real-Time Seismic Data Processing. <i>Sensors</i><b>2026</b>, <i>26</i>, 2931. [PDF]

Sensors (Basel)
Doğan Y, Başbuğ A, Semirgin F, Kaya YE, Çınar O, Sözbilir H, Özdağ ÖC, Yılmaz R, Kut A, Tamer Ö, Çakır R, Utku M, Özçelik Ö, Softa M.   +13 more
europepmc   +1 more source

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