Results 161 to 170 of about 1,738,361 (297)

RETRACTION: Influence of Distribution Modulus on the Compressive Strength of Ultra-High-Performance Concrete with Coarse Aggregate (UHPC-CA)

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

Material properties of recycled PET composites for structural anchoring and other civil engineering applications. [PDF]

Sci Rep
Ostrowski KA, Romańska P, Spyrowski M.
europepmc   +1 more source

Geopolymers and Fiber-Reinforced Concrete Composites in Civil Engineering. [PDF]

Polymers (Basel), 2021
Mahmood A, Noman MT, Pechočiaková M, Amor N, Petrů M, Abdelkader M, Militký J, Sozcu S, Hassan SZU.   +8 more
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Sustainable Integration of Nanobiosensors in Biomedical and Civil Engineering: A Comprehensive Review. [PDF]

ACS Omega
Varadharajan S, Gadre M, Mathur V, Vasanthan KS.   +3 more
europepmc   +1 more source

Exploring the relationship between mental health-related problems and undergraduate student dropout: A case study within a civil engineering program. [PDF]

Heliyon, 2022
Del Savio AA, Galantini K, Pachas A.
europepmc   +1 more source

Linear reservoir-based adaptive land subsidence model: Case of Sumatra peat lowland forests [PDF]

, 2016
Junaidi, A., Lecturer, Civil Engineering Department, Engineering Faculty, Andalas University, Lecturer, Civil Engineering Department, Engineering Faculty, Andalas University, Nurhamidah   +3 more
core  

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

Microbial-Derived Biopolymers: A Pathway to Sustainable Civil Engineering. [PDF]

Polymers (Basel)
Kannan G, Sujatha ER, Almajed A, Moghal AAB.   +3 more
europepmc   +1 more source

Reuse of the Materials Recycled from Renewable Resources in the Civil Engineering: Status, Achievements and Government's Initiatives in Taiwan. [PDF]

Materials (Basel), 2021
Tsai CH, Shen YH, Tsai WT.
europepmc   +1 more source