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 …

Combating urban heat: Systematic review of urban resilience and adaptation strategies

Q Fu, Z Zheng, MNI Sarker, Y Lv - Heliyon, 2024 - cell.com
Urban areas are currently facing the increasingly pressing issue of urban heat worldwide,
which is being worsened by climate change and rising urbanization. As a result, there is a …

Theoretical and analytical assessment of smart green cities

AB Bonab, F Bellini, I Rudko - Journal of Cleaner Production, 2023 - Elsevier
As a locus of technological innovation, a smart city (SC) is a prototypical city of the future.
Moreover, according to scholars, a smart city is also sustainable city. Nonetheless, the …

A machine learning approach for the estimation of total dissolved solids concentration in lake mead using electrical conductivity and temperature

GE Adjovu, H Stephen, S Ahmad - Water, 2023 - mdpi.com
Total dissolved solids (TDS) concentration determination in water bodies is sophisticated,
time-consuming, and involves expensive field sampling and laboratory processes. TDS …

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 …

Spatial and temporal characteristics of rural livability and its influencing factors: implications for the development of rural revitalization strategy

K Wei, W Wang, S Fahad - Environmental Science and Pollution Research, 2023 - Springer
Building livable rural regions is a key objective of China's rural revitalization, and fostering
coordinated and sustainable regional development in China necessitates investigating the …

Towards people-centric smart cities: A comparative evaluation of citizens' sense of gain in pilot cities in China

L Yu, D Li, L Mao, S Zhou, H Feng - Journal of Cleaner Production, 2024 - Elsevier
Although the citizens' sense of gain (CSG) has become a vital standard reflecting the people-
centric concept, taking into account both objective material gain and subjective spiritual …

Urban resilience assessment based on “window” data: The case of three major urban agglomerations in China

P Yi, S Wang, W Li, Q Dong - International Journal of Disaster Risk …, 2023 - Elsevier
Urban resilience is the key to comprehensively advancing China's urbanization process.
Urban resilience assessment is a necessary way to monitor the current state of urban …

Machine learning-based flexural capacity prediction of corroded RC beams with an efficient and user-friendly tool

A Abushanab, TG Wakjira, W Alnahhal - Sustainability, 2023 - mdpi.com
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 …

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 …