Determining quality of water in reservoir using machine learning
JS Chou, CC Ho, HS Hoang - Ecological informatics, 2018 - Elsevier
Water quality is one of the most critical issues in reservoir management owing to its strong
effects on the natural environment and human life. This study establishes a machine …
effects on the natural environment and human life. This study establishes a machine …
Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete
Corrosion initiation time of embedded steel is an important service life parameter, which
depends on concrete material make-up, exposure environment, and duration of exposure …
depends on concrete material make-up, exposure environment, and duration of exposure …
[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm
MEA Ben Seghier, JAFO Corriea, J Jafari-Asl… - Neural Computing and …, 2021 - Springer
Suspension bridges are critical components of transport infrastructure around the world.
Therefore, their operating conditions should be effectively monitored to ensure their safety …
Therefore, their operating conditions should be effectively monitored to ensure their safety …
Improving solar forecasting using Deep Learning and Portfolio Theory integration
Solar energy has been consolidated as one of the main renewable energy sources capable
of contributing to supply global energy demand. However, the solar resource has intermittent …
of contributing to supply global energy demand. However, the solar resource has intermittent …
Machine learning in coastal bridge hydrodynamics: a state-of-the-art review
Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …
hazards, relevant research is thus required to ensure the safe operation of these critical …
Academic policy regarding sustainability and artificial intelligence (AI)
Artificial intelligence (AI) has grown, and technologies have intensified across all fields of
life, particularly in education. AI has been applied to resources to improve skills giving …
life, particularly in education. AI has been applied to resources to improve skills giving …
A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach
X Li, M Guo, R Zhang, G Chen - Ocean Engineering, 2022 - Elsevier
Pitting corrosion is considered to be one of the most dangerous failure forms of offshore
steel structures, and corrosion depth is treated as an important indicator of corrosion …
steel structures, and corrosion depth is treated as an important indicator of corrosion …
An improved continuum damage mechanics model for evaluating corrosion–fatigue life of high-strength steel wires in the real service environment
C Cui, A Chen, R Ma - International Journal of Fatigue, 2020 - Elsevier
In this paper, an improved continuum damage mechanics (CDM) model for predicting the
corrosion-fatigue life of high-strength steel wires is proposed considering the effects of both …
corrosion-fatigue life of high-strength steel wires is proposed considering the effects of both …
Comparison of machine learning models to provide preliminary forecasts of real estate prices
Real estate is one of the most critical investments in the household portfolio, and represents
the greatest proportion of wealth of the private households in highly developed countries …
the greatest proportion of wealth of the private households in highly developed countries …