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Application of artificial intelligence in geotechnical engineering: A state-of-the-art review
Geotechnical engineering deals with soils and rocks and their use in engineering
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
constructions. By their nature, soils and rocks exhibit complex behaviours and a high level of …
Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …
potential to address major societal problems, including sustainability. Degradation of the …
A review on applications of artificial intelligence in wastewater treatment
In recent years, artificial intelligence (AI), as a rapidly develo** and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …
practical problems, has attracted much attention and has been widely used in various areas …
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …
the field of dam engineering. Authored by research engineers specializing in civil …
Recent advancement of concrete dam health monitoring technology: A systematic literature review
The health monitoring of dams has become a topic of paramount importance to maintain the
sustainability and resiliency of our society. The dam health monitoring (DHM) models …
sustainability and resiliency of our society. The dam health monitoring (DHM) models …
Artificial intelligence for surface water quality monitoring and assessment: a systematic literature analysis
The goal of this paper was to conduct a systematic literature analysis on the application of
different types of artificial intelligence models in surface water quality monitoring. The …
different types of artificial intelligence models in surface water quality monitoring. The …
Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches
Understanding the dynamics of tidal rivers and estuaries is critical for reliable water
management. Recently, the use of Machine Learning (ML) has increased in favor of …
management. Recently, the use of Machine Learning (ML) has increased in favor of …
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
Artificial intelligence (AI) and machine learning (ML) are novel techniques to detect hidden
patterns in environmental data. Despite their capabilities, these novel technologies have not …
patterns in environmental data. Despite their capabilities, these novel technologies have not …
Monthly rainfall forecasting modelling based on advanced machine learning methods: Tropical region as case study
Existing forecasting methods employed for rainfall forecasting encounter many limitations,
because the difficulty of the underlying mathematical proceeding in dealing with the …
because the difficulty of the underlying mathematical proceeding in dealing with the …
Enhancing hydrological data completeness: A performance evaluation of various machine learning techniques using probabilistic fusion imputer with neural networks …
The present-day accessibility of streamflow data, particularly in the develo** countries, is
often marked by a multitude of data shortfalls or distortions. This study investigates the …
often marked by a multitude of data shortfalls or distortions. This study investigates the …