Application of artificial intelligence in geotechnical engineering: A state-of-the-art review

A Baghbani, T Choudhury, S Costa, J Reiner - Earth-Science Reviews, 2022 - Elsevier
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 …

Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda

R Nishant, M Kennedy, J Corbett - International journal of information …, 2020 - Elsevier
Artificial intelligence (AI) will transform business practices and industries and has the
potential to address major societal problems, including sustainability. Degradation of the …

A review on applications of artificial intelligence in wastewater treatment

Y Wang, Y Cheng, H Liu, Q Guo, C Dai, M Zhao, D Liu - Sustainability, 2023 - mdpi.com
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 …

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
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 …

Recent advancement of concrete dam health monitoring technology: A systematic literature review

G Prakash, R Dugalam, M Barbosh, A Sadhu - Structures, 2022 - Elsevier
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 …

Artificial intelligence for surface water quality monitoring and assessment: a systematic literature analysis

JO Ighalo, AG Adeniyi, G Marques - Modeling Earth Systems and …, 2021 - Springer
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 …

Estimating water levels and discharges in tidal rivers and estuaries: Review of machine learning approaches

AM Mihel, J Lerga, N Krvavica - Environmental modelling & software, 2024 - Elsevier
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 …

Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems

M Bagheri, N Farshforoush, K Bagheri… - Process Safety and …, 2023 - Elsevier
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 …

Monthly rainfall forecasting modelling based on advanced machine learning methods: Tropical region as case study

MF Allawi, UH Abdulhameed, A Adham… - Engineering …, 2023 - Taylor & Francis
Existing forecasting methods employed for rainfall forecasting encounter many limitations,
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 …

GRA Nair, S Adarsh, A El-Shafie, AN Ahmed - Journal of Hydrology, 2024 - Elsevier
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 …