Optimizing machine learning algorithms for improving prediction of bridge deck deterioration: A case study of Ohio bridges
A Rashidi Nasab, H Elzarka - Buildings, 2023 - mdpi.com
The deterioration of a bridge's deck endangers its safety and serviceability. Ohio has
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …
approximately 45,000 bridges that need to be monitored to ensure their structural integrity …
A review on computational intelligence methods for modelling of light weight composite materials
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
A machine learning approach for the estimation of total dissolved solids concentration in lake mead using electrical conductivity and temperature
Total dissolved solids (TDS) concentration determination in water bodies is sophisticated,
time-consuming, and involves expensive field sampling and laboratory processes. TDS …
time-consuming, and involves expensive field sampling and laboratory processes. TDS …
Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams
The ability of machine learning (ML) techniques to forecast the shear strength of corroded
reinforced concrete beams (CRCBs) is examined in the present study. These ML techniques …
reinforced concrete beams (CRCBs) is examined in the present study. These ML techniques …
The determination of limit wheel profile for hunting instability of railway vehicles using stacking feature deep forest
X Dai, S Qu, C Huang, P Wu - Engineering Applications of Artificial …, 2023 - Elsevier
Wheel and rail profiles have significant impacts on the vehicle system dynamics. Improper
wheel and rail profiles lead to the decay of vehicle dynamics performance, hunting instability …
wheel and rail profiles lead to the decay of vehicle dynamics performance, hunting instability …
Shear capacity prediction for FRCM-strengthened RC beams using Hybrid ReLU-Activated BPNN model
This study presents a robust Hybrid ReLU-Activated Backpropagation Neural Network
(BPNN) model for predicting shear strength (VFRCM) in RC beams reinforced with Fiber …
(BPNN) model for predicting shear strength (VFRCM) in RC beams reinforced with Fiber …
Machine learning-based flexural capacity prediction of corroded RC beams with an efficient and user-friendly tool
Steel corrosion poses a serious threat to the structural performance of reinforced concrete
(RC) structures. Thus, this study evaluates the flexural capacity of RC beams through …
(RC) structures. Thus, this study evaluates the flexural capacity of RC beams through …
Using artificial intelligence approach for investigating and predicting yield stress of cemented paste backfill
VQ Tran - Sustainability, 2023 - mdpi.com
The technology known as cemented paste backfill (CPB) has gained considerable
popularity worldwide. Yield stress (YS) is a significant factor considered in the assessment of …
popularity worldwide. Yield stress (YS) is a significant factor considered in the assessment of …
Adaboosting graph attention recurrent network: A deep learning framework for traffic speed forecasting in dynamic transportation networks with spatial-temporal …
Y Zhang, X Wang, J Yu, T Zeng, J Wang - Engineering Applications of …, 2024 - Elsevier
In construction engineering, transportation is a key factor affecting the construction schedule,
and Transportation Speed Prediction (TSP) provides essential information for the precise …
and Transportation Speed Prediction (TSP) provides essential information for the precise …
Ensemble learning based sustainable approach to carbonate reservoirs permeability prediction
DA Musleh, SO Olatunji, AA Almajed, AS Alghamdi… - Sustainability, 2023 - mdpi.com
Permeability is a crucial property that can be used to indicate whether a material can hold
fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and …
fluids or not. Predicting the permeability of carbonate reservoirs is always a challenging and …